CN113520306B - A method and smart home device for monitoring human sleep state - Google Patents

Abstract

The invention provides a method for monitoring human sleep status and a smart home device. The method includes: periodically collecting the temperature of a target human body in a designated location area to obtain a human body temperature sampling value; calculating the temperature difference between the current sampling point and the previously adjacent sampling human body temperature sampling value, and determining whether the temperature difference is less than or equal to the first A temperature threshold; if yes, record the human body temperature sampling value at the current sampling point as the temperature reference value; if not, obtain the second temperature threshold, and calculate the second temperature threshold based on multiple consecutive temperature reference values recorded before the current sampling point Correction is performed to obtain the second corrected temperature threshold; based on the human body temperature sampling value at the current sampling point and the second corrected temperature threshold, it is determined whether the target human body meets the abnormal sleep state condition; if so, the abnormal sleep state of the target human body is determined. The solution of the present invention can improve the pertinence and accuracy of human sleep state monitoring, and is particularly suitable for applications of smart home appliances such as smart air conditioners.

Description

A method and smart home device for monitoring human sleep state

Technical field

The present invention relates to the field of intelligent monitoring technology, and in particular to a method for monitoring human sleep status and a smart home device.

Background technique

Individuals (especially children) are prone to kicking the quilt and catching cold during sleep, and guardians cannot monitor the child's sleep status in real time. At present, many technologies for monitoring children kicking quilts have emerged. In the prior art, when judging whether a child kicks the quilt, a fixed temperature threshold is used as the judgment criterion. When the temperature of a specific part of the child is lower than a fixed temperature threshold, it is determined that the child has kicked off the quilt. However, in practical applications, the normal temperature for individuals (including children) while sleeping will also change with recent changes in weather, indoor environment and other factors. Therefore, using a fixed temperature threshold as the basis for judgment will make the judgment results inaccurate.

Contents of the invention

In view of the above problems, the present invention is proposed to provide a method for monitoring human sleep status and a smart home device that overcome the above problems or at least partially solve the above problems.

An object of the present invention is to provide a method for monitoring the sleep state of a human body, by dynamically correcting the second temperature threshold for judging the sleep state of the target human body based on the historical temperature reference value of the target human body, thereby improving the efficiency of judging the sleep state of the human body. accuracy.

A further object of the present invention is to further improve the pertinence and accuracy of human sleep state judgment by determining the attributes of the target human body before collecting the temperature of the target human body.

In particular, according to one aspect of the present invention, the present invention provides a method for monitoring human sleep status, including:

Periodically collect the temperature of the target human body in the specified location area to obtain the human body temperature sampling value;

Calculate the temperature difference between the human body temperature sampling value of the current sampling point and the human body temperature sampling value of the previous adjacent sampling, and determine whether the temperature difference is less than or equal to the first temperature threshold;

If so, record the human body temperature sampling value at the current sampling point as the temperature reference value;

If not, obtain the second temperature threshold, and correct the second temperature threshold based on multiple consecutive temperature reference values recorded before the current sampling point to obtain the second corrected temperature threshold;

Determine whether the target human body meets the abnormal sleep state conditions based on the human body temperature sampling value at the current sampling point and the second corrected temperature threshold;

If so, it is determined that the sleep state of the target human body is abnormal.

Optionally, the second temperature threshold is corrected based on multiple consecutive temperature reference values recorded before the current sampling point to obtain the second corrected temperature threshold, including:

Obtain the sequence of temperature reference values within the first preset time period before the current sampling point, and obtain the first temperature reference value sequence;

Obtain the sequence of temperature reference values within the first preset time period before the first temperature reference value sequence, and obtain the second temperature reference value sequence;

Calculate the ratio of the average value of the first temperature reference value sequence to the average value of the second temperature reference value sequence;

The second temperature threshold is multiplied by the ratio to obtain a second modified temperature threshold.

Optionally, the first preset time period is in the range of 24-48h.

Optionally, sleep state abnormal conditions include:

The human body temperature sampling value at the current sampling point is less than the second corrected temperature threshold.

Optionally, sleep state abnormal conditions include:

The human body temperature sampling value at the current sampling point is less than the second corrected temperature threshold, and the temperature of the target human body continues to be less than the second corrected temperature threshold within the second preset time period from the current sampling point, and the second preset time period is less than or equal to the human body The collection period of temperature sampling values.

Optionally, periodically collect the temperature of the target human body in the specified location area, including:

The temperature of the target human body in the specified location area is periodically collected through infrared sensing.

Optionally, before periodically collecting the temperature of the target human body in the designated location area through infrared sensing, the monitoring method also includes:

Perform infrared scanning on the designated location area to obtain the temperature information of the designated location area;

Determine the area occupied by the target human body based on the temperature information of the specified location area;

Determine whether the area occupied by the target human body is smaller than the preset area threshold;

If yes, then perform the step of periodically collecting the temperature of the target human body in the specified location area through infrared sensing.

Optionally, the step of periodically collecting the temperature of the target human body in a designated location area through infrared sensing includes:

The temperature of the area occupied by the target human body in the specified location area is periodically scanned, and the average temperature in the area occupied by the target human body is calculated as the temperature of the target human body in the specified location area.

Optionally, after determining the abnormal sleep state of the target human body, the monitoring method further includes:

Generate sleep state abnormal alarm signals;

Issue alarm prompts based on abnormal sleep state alarm signals;

The alarm prompts include sound prompts and/or vibration prompts.

According to another aspect of the present invention, the present invention also provides a smart home device, including:

a temperature detection module configured to detect the temperature of a target human body in a designated location area; and

Control module, the control module includes:

processor; and

A memory storing computer program code;

When the computer program code is executed by the processor, the control module is caused to execute the method for monitoring human sleep state according to any of the foregoing items.

The human body sleep state monitoring method and smart home device provided by the present invention periodically collect the temperature of the target human body in the designated location area as the human body temperature sampling value, and then calculate the human body temperature sampling value of the current sampling point and the previous adjacent sampling value. The temperature difference of the human body temperature sampling value, and determine whether the temperature difference is less than or equal to the first temperature threshold. If so, record the human body temperature sampling value at the current sampling point as the temperature reference value. If not, obtain the second temperature threshold, based on the current sampling The second temperature threshold is corrected by multiple consecutive temperature reference values recorded before the point to obtain the second corrected temperature threshold. Finally, it is determined whether the target human body meets the abnormal sleep state condition based on the human body temperature sampling value at the current sampling point and the second corrected temperature threshold. Since the human body temperature will not rise or fall sharply when the human body feels comfortable, the human body temperature sampling value at the current sampling point whose temperature difference from the previously adjacent human body temperature sampling value is smaller than the first temperature threshold can be used as the human body comfort temperature. Temperature reference value. Moreover, the changing trend of multiple continuous temperature reference values can also reflect changes in the normal temperature of the human body during sleep due to recent changes in weather, indoor environment and other factors. Therefore, when it is necessary to determine the sleep state, the second corrected temperature threshold is obtained by correcting the second temperature threshold based on a plurality of consecutive temperature reference values recorded before the current sampling point, so as to be used to determine the sleep state of the human body. Reduce or even eliminate the impact of recent changes in the human body's normal temperature during sleep, improving the accuracy of judging the human body's sleep state.

Further, before collecting the temperature of the target human body in the designated position area, the area occupied by the target human body can also be determined by performing infrared scanning on the designated position area, and by judging whether the area occupied by the target human body is smaller than the preset area. The threshold is used to determine whether the attribute of the target human body is a child, thereby further improving the pertinence and accuracy of human sleep state monitoring.

From the following detailed description of specific embodiments of the present invention in conjunction with the accompanying drawings, those skilled in the art will further understand the above and other objects, advantages and features of the present invention.

Description of drawings

Some specific embodiments of the invention will be described in detail below by way of illustration and not limitation with reference to the accompanying drawings. The same reference numbers in the drawings identify the same or similar parts or portions. Those skilled in the art will appreciate that these drawings are not necessarily drawn to scale. In the attached picture:

Figure 1 is a schematic flow chart of a method for monitoring human sleep status according to an embodiment of the present invention;

Figure 2 is a schematic flow chart of a method for monitoring human sleep status according to another embodiment of the present invention;

Figure 3 is a schematic structural diagram of a smart home device according to an embodiment of the present invention.

Detailed ways

In order to solve the above problems, embodiments of the present invention provide a method for monitoring human sleep status.

Figure 1 shows a schematic flow chart of a method for monitoring human sleep status according to an embodiment of the present invention. Referring to Figure 1, the method may at least include step S102 to step S112.

Step S102, periodically collect the temperature of the target human body in the specified location area to obtain the human body temperature sampling value.

Step S104: Calculate the temperature difference between the human body temperature sample value of the current sampling point and the human body temperature sample value of the previous adjacent sample, and determine whether the temperature difference is less than or equal to the first temperature threshold. If yes, execute step S106; if not, execute step S108.

Step S106: Record the human body temperature sampling value at the current sampling point as a temperature reference value.

Step S108: Obtain a second temperature threshold, and correct the second temperature threshold based on a plurality of consecutive temperature reference values recorded before the current sampling point to obtain a second corrected temperature threshold. Afterwards, step S110 is continued.

Step S110: Determine whether the target human body meets the sleep state abnormality condition based on the human body temperature sampling value at the current sampling point and the second corrected temperature threshold. If yes, execute step S112.

Step S112: Determine whether the sleep state of the target human body is abnormal.

In the method for monitoring human sleep status in the embodiment of the present invention, the temperature of the target human body in the designated location area is periodically collected as the human body temperature sampling value, and then, the human body temperature sampling value of the current sampling point and the human body temperature of the previous adjacent sampling are calculated. The temperature difference of the sampling value is determined, and it is judged whether the temperature difference is less than or equal to the first temperature threshold. If so, the human body temperature sampling value at the current sampling point is recorded as the temperature reference value. If not, the second temperature threshold is obtained, based on the temperature before the current sampling point. The second temperature threshold is corrected by a plurality of consecutive recorded temperature reference values to obtain a second corrected temperature threshold. Finally, it is determined whether the target human body meets the abnormal sleep state condition based on the human body temperature sampling value at the current sampling point and the second corrected temperature threshold. Since the human body temperature will not rise or fall sharply when the human body feels comfortable, the human body temperature sampling value at the current sampling point whose temperature difference from the previously adjacent human body temperature sampling value is smaller than the first temperature threshold can be used as the human body comfort temperature. Temperature reference value. Moreover, the changing trend of multiple continuous temperature reference values can also reflect changes in the normal temperature of the human body during sleep due to recent changes in weather, indoor environment and other factors. Therefore, when it is necessary to determine the sleep state, the second corrected temperature threshold is obtained by correcting the second temperature threshold based on a plurality of consecutive temperature reference values recorded before the current sampling point, so as to be used to determine the sleep state of the human body. Reduce or even eliminate the impact of recent changes in the human body's normal temperature during sleep, improving the accuracy of judging the human body's sleep state.

The designated location area mentioned in this article may refer to the sleeping area of the target human body, such as the area where bedding is located, such as the area where the bed or sofa in the room is located.

In step S102 above, the temperature of the target human body can be collected through a non-contact temperature measurement method (such as infrared sensing, etc.). The collection cycle of the target human body temperature can be set according to actual application requirements, and can generally be set in the range of 10-30 minutes, such as 20 minutes.

In step S104 above, the first temperature threshold may be set in the range of 1-2°C, such as 1.5°C.

In step S108 above, the second temperature threshold may be the default normal temperature value of the target human body when sleeping, which is preset according to the target human body, and represents the normal human body temperature of the target human body when the quilt is not kicked off. The second temperature threshold can be obtained through empirical statistics or surveys. Specifically, in the embodiment of the present invention, the second temperature threshold may be set in the range of 36.3-37.2°C, for example.

In some embodiments, the second temperature threshold can also be set according to the current season or the indoor environment of the specified location area, etc. For example, different second temperature thresholds can be set for summer and winter. Alternatively, different second temperature thresholds may be set according to whether the indoor environment of the designated location area is an air-conditioned heating environment or an air-conditioned cooling environment.

In one embodiment, the step of correcting the second temperature threshold to obtain the second corrected temperature threshold based on multiple consecutive temperature reference values recorded before the current sampling point may be further implemented as: based on multiple consecutive temperature reference values recorded before the current sampling point. The second temperature threshold is corrected based on the changing trend of the temperature reference values to obtain the second corrected temperature threshold. Specifically, first, a sequence of temperature reference values within a first preset time period before the current sampling point is obtained to obtain a first temperature reference value sequence. Next, a sequence of temperature reference values within a first preset time period before the first temperature reference value sequence is obtained to obtain a second temperature reference value sequence. Finally, the ratio of the average value of the first temperature reference value sequence to the average value of the second temperature reference value sequence is calculated, and the second temperature threshold is multiplied by the ratio to obtain the second corrected temperature threshold. The value of the first preset time period can be set according to actual application requirements, so that the temperature reference value sequence within the first preset time period can fully and timely reflect recent changes in the normal temperature of the human body during sleep. Optionally, the first preset duration may be set in the range of 24-48h, for example, 24h.

The following is a detailed introduction to the aforementioned steps of correcting the second temperature threshold based on the changing trends of multiple consecutive temperature reference values recorded before the current sampling point by way of example. In this example, assuming that the first preset time period is 24 hours, after reading the preset second temperature threshold Ts, first obtain the sequence of temperature reference values within 24 hours before the current sampling point, and obtain the first temperature reference value sequence. : T11, T12,…,T1n (n is a positive integer greater than 2). Then obtain the sequence of temperature reference values within 24 hours before the first temperature reference value sequence, and obtain the second temperature reference value sequence: T21, T22,..., T2m (m is a positive integer greater than 2). The average value T1v of the first temperature reference value sequence is calculated according to the formula T1v=(T11+T12+...+T1n)/n, and the second temperature reference value sequence is calculated according to the formula T2v=(T21+T22+...+T2m)/m The average value of T2v. Finally, the second corrected temperature threshold Tc is calculated according to the following formula: Tc=Ts×(T1v/T2v).

In this embodiment, the second temperature threshold is corrected using the ratio of the average value of the first temperature reference value sequence to the average value of the second temperature reference value sequence as a correction coefficient. Since the ratio of the average value of the first temperature reference value sequence to the average value of the second temperature reference value sequence can more accurately reflect the recent change trend of the normal temperature of the human body during sleep, the second corrected temperature threshold corrected based on the ratio is more accurate. It fits the current normal human body temperature, thereby further improving the accuracy of judging the human body's sleep state.

In step S110 above, it is determined whether the target human body meets the sleep state abnormality condition based on the human body temperature sampling value at the current sampling point and the second corrected temperature threshold.

In one embodiment, the sleep state abnormal condition may include: the human body temperature sampling value at the current sampling point is less than the second corrected temperature threshold. As mentioned above, the second corrected temperature threshold is a corrected value for the default normal temperature value of the target human body while sleeping. When it is determined that the temperature change of the target human body between adjacent sampling points exceeds the first temperature threshold If the human body temperature sampling value at the current sampling point is less than the second corrected temperature threshold, it means that the target human body has kicked off the quilt, causing the target human body's temperature to drop below the normal temperature that should be maintained during sleep.

In another embodiment, the sleep state abnormal condition may include: the human body temperature sample value at the current sampling point is less than the second corrected temperature threshold, and the temperature of the target human body continues to be less than the second preset time period from the current sampling point. 2. correct the temperature threshold, and the 2nd preset time is less than or equal to the collection period of the human body temperature sampling value. The second preset time period may be set in the range of 5-10 minutes, for example. In this case, step S110 can be specifically implemented as follows: first, determine whether the human body temperature sampling value at the current sampling point is less than the second corrected temperature threshold. If so, further monitor whether the temperature of the target human body continues to be less than the second corrected temperature threshold within a second preset time period starting from the current sampling point. Only when the temperature of the target human body continues to be less than the second corrected temperature threshold within the second preset time period from the current sampling point, is it determined that the target human body's sleep state is abnormal (that is, the quilt has been kicked off). In this way, misjudgments caused by accidental fluctuations in the target human body temperature can be reduced or even eliminated, and the accuracy of human sleep state judgment can be improved.

As pointed out in the background of this article, children are particularly prone to kicking during sleep, so children are usually the focus of sleep state monitoring. In practical applications, for example, when used in homes, since there are usually multiple people in the home, adults other than children may appear in the designated location area. Therefore, in one embodiment, before performing step S102, the attributes of the target human body may also be determined first, such as determining whether the target human body is a child.

In one embodiment, before periodically collecting the temperature of the target human body in the specified location area through infrared sensing, the attributes of the target human body can be determined through the following steps: first, perform an infrared scan on the specified location area to obtain the specified location area. temperature information. Then, the area occupied by the target human body is determined based on the temperature information of the specified location area. Specifically, based on the temperature information of the designated location area, an area within the designated location area whose temperature is within a specified temperature range is determined as the area occupied by the target human body. The specified temperature range can be set to 35-40°C, for example, so that the target human body can be distinguished from other heat sources (such as lamps, etc.). Finally, it is determined whether the area occupied by the target human body is smaller than a preset area threshold. If so, the step of periodically collecting the temperature of the target human body in the specified location area through infrared sensing is performed. The preset area threshold can be set according to the target human body to be monitored in actual applications. Generally, when the target human body as the monitoring object is a child, the preset area threshold can be set in the range of 0.4-0.6m ² , for example, 0.5m ² .

In this embodiment, before collecting the temperature of the target human body in the designated location area, the area occupied by the target human body is determined by performing infrared scanning on the designated location area, and by determining whether the area occupied by the target human body is smaller than the preset area. The threshold is used to determine whether the attribute of the target human body is a child, thereby further improving the pertinence and accuracy of human sleep state monitoring.

Further, in one embodiment, the step of periodically collecting the temperature of the target human body in the designated location area through infrared sensing may be specifically implemented as: periodically performing a temperature scan on the area occupied by the target human body in the designated location area, and Calculate the average temperature in the area occupied by the target human body as the temperature of the target human body in the specified location area. That is to say, when each sampling point arrives, a temperature scan is performed on the area occupied by the target human body in the designated location area, and then the average temperature in the area occupied by the target human body is calculated as the designated location area collected at each sampling point. The target body temperature.

It should be noted that since the target human body is likely to move during sleep, the position of the area occupied by the target human body is not fixed. When the position of the area occupied by the target human body changes, when each sampling point arrives, the temperature scan of the area occupied by the target human body in the designated position area can be implemented as follows: first conduct an infrared scan of the designated position area, and obtain the specified The temperature information of the location area is then determined according to the temperature information of the specified location area, and the area in the specified location area whose temperature is within the above specified temperature range is used as the area occupied by the target human body. In this way, the determined temperature information in the area where the target human body is located is Scan information for the temperature of the area occupied by the target human body. Furthermore, the average temperature in the area occupied by the target human body can be calculated based on the temperature information in the area where the target human body is located, as the temperature of the target human body in the designated location area.

By using the average temperature in the area occupied by the target human body as the temperature of the target human body, it can reflect the human body more comprehensively and accurately, unlike the existing technology that only uses the temperature of specific parts of the target human body (such as forehead, feet, etc.) as the judgment object. the true temperature. Moreover, since there is no need to locate specific parts of the human body, the complexity of temperature detection is also reduced and processing efficiency is improved.

In one embodiment, after performing step S112 to determine that the sleep state of the target human body is abnormal, a sleep state abnormality alarm signal can also be generated, and then an alarm prompt can be issued according to the sleep state abnormality alarm signal, so that the guardian can be reminded in time to make the guardian aware. The sleep state of the target human body is abnormal. Alarm prompts may include sound prompts and/or vibration prompts, etc. Sound prompts include but are not limited to music, voice, ringing, etc. Vibration prompts can be sent by mobile terminals (such as mobile phones), smart pillows, etc.

The various implementation methods of each link of the embodiment shown in Figure 1 have been introduced above. The implementation process of the method for monitoring human sleep state of the present invention will be introduced in detail through a specific embodiment.

Figure 2 shows a schematic flow chart of a method for monitoring human sleep status according to a specific embodiment of the present invention. Referring to Figure 2, the method may at least include the following steps S202 to S222.

Step S202: Perform an infrared scan on the designated location area to obtain the temperature information of the designated location area, and determine the area occupied by the target human body based on the temperature information of the designated location area.

In this step, an area with a temperature of 35-40°C in the specified location area is determined based on the temperature information of the specified location area as the area occupied by the target human body.

Step S204: Determine whether the area occupied by the target human body is smaller than a preset area threshold. If yes, step S206 is executed. If not, the process ends.

In this embodiment, the preset area threshold is set to 0.5m ² . If the area occupied by the target human body is less than 0.5m ² , it can be determined that the attribute of the target human body is a child.

Step S206, periodically collect the temperature of the target human body in the specified location area through infrared sensing to obtain the human body temperature sampling value.

In this step, the temperature of the area occupied by the target human body in the specified location area is periodically scanned, and the average temperature in the area occupied by the target human body is calculated as the temperature of the target human body in the specified location area. The collection cycle of human body temperature sampling values is 20 minutes.

Step S208: Calculate the temperature difference between the human body temperature sample value of the current sampling point and the human body temperature sample value of the previous adjacent sample.

Step S210, determine whether the temperature difference is less than or equal to the first temperature threshold. If yes, execute step S212; if not, execute step S214.

In this embodiment, the first temperature threshold is set to 2°C.

Step S212: Record the human body temperature sampling value at the current sampling point as a temperature reference value. After that, return to step S206.

Step S214: Obtain a second temperature threshold, and correct the second temperature threshold based on multiple consecutive temperature reference values recorded before the current sampling point to obtain a second corrected temperature threshold.

In this step, specifically, the sequence of temperature reference values within the first preset time period before the current sampling point is obtained to obtain the first temperature reference value sequence, and then the temperature within the first preset time period before the first temperature reference value sequence is obtained. sequence of reference values to obtain a second temperature reference value sequence, calculate the ratio of the average value of the first temperature reference value sequence to the average value of the second temperature reference value sequence, multiply the obtained second temperature threshold value by the ratio, and obtain Second corrected temperature threshold. The first preset duration is set to 24h.

Step S216, determine whether the human body temperature sampling value at the current sampling point is less than the second corrected temperature threshold. If yes, step S218 is executed. If not, return to step S206.

Step S218: Monitor whether the temperature of the target human body continues to be less than the second corrected temperature threshold within a second preset time period starting from the current sampling point. If yes, step S220 is executed. If not, return to step S206.

In this step, the second preset duration is set to 10 minutes.

Step S220: Determine whether the sleep state of the target human body is abnormal.

Step S222: Generate a sleep state abnormality alarm signal, and issue an alarm prompt based on the sleep state abnormality alarm signal.

In this embodiment, the smart pillow is used to vibrate to remind the guardian in time.

Embodiments of the present invention can monitor the sleep state of a target human body in a targeted and accurate manner, and provide timely reminders when the sleep state of the target human body is abnormal, and are very suitable for monitoring whether a child is kicked while sleeping.

Based on the same technical concept, embodiments of the present invention also provide a smart home device. Figure 3 shows a schematic structural diagram of a smart home device 10 according to an embodiment of the present invention. Referring to FIG. 3 , the smart home device 10 may generally include a temperature detection module 100 and a control module 200 . The temperature detection module 100 detects the temperature of a target human body in a designated location area. The control module 200 is connected to the temperature detection module 100. The control module 200 controls the temperature detection module 100 to detect the temperature of the target human body in a designated location area, and obtains the detected temperature of the target human body from the temperature detection module 100. The control module 200 may include a processor 210, and a memory 220 storing computer program code. When the computer program code is run by the processor 220, it causes the control module 200 to execute the method for monitoring the human sleep state of any of the foregoing embodiments or a combination of embodiments.

In one embodiment, the temperature detection module 100 may be an infrared sensing module.

In one embodiment, the smart home device 10 may be a smart air conditioner. The temperature detection module 100 and the control module 200 can operate in both the standby state and the operating state of the smart air conditioner. After the control module 200 determines that the sleep state of the target human body is abnormal (that is, kicking off the quilt), it can also generate an air conditioning adjustment signal, thereby adjusting the operating parameters of the smart air conditioner (including operating temperature, air supply wind speed, air supply direction, etc.) according to the air conditioning adjustment signal. ) to ensure that the target human body sleeps comfortably. Specifically, for example, after determining that the sleep state of the target human body is abnormal, at least one of the following adjustment operations can be performed on the smart air conditioner: increasing the operating temperature, reducing the air supply speed, and adjusting the air supply direction so that it no longer faces the target human body. This prevents the target from catching a cold.

In one embodiment, the smart home device 10 can also be linked with a smart pillow. In this case, the control module 200 sends the generated sleep state abnormality alarm signal to the cloud server, and the cloud server then sends the sleep state abnormality alarm signal to the smart pillow. The smart pillow vibrates according to the sleep state abnormality alarm signal, and promptly A reminder to smart pillow users.

Compared with the existing technology in the field of smart home, the solution of the present invention realizes the technical effect of efficiently and accurately automatically monitoring human sleep status and intelligently adjusting smart home devices based on the monitoring results, thereby improving the level of intelligence.

According to any one of the above optional embodiments or a combination of multiple optional embodiments, the embodiments of the present invention can achieve the following beneficial effects:

The human body sleep state monitoring method and the smart home device provided by the embodiments of the present invention periodically collect the temperature of the target human body in the specified location area as the human body temperature sampling value, and then calculate the human body temperature sampling value of the current sampling point and the previous adjacent The temperature difference of the sampled human body temperature sampling value is determined, and whether the temperature difference is less than or equal to the first temperature threshold. If so, the human body temperature sampling value at the current sampling point is recorded as the temperature reference value. If not, the second temperature threshold is obtained. According to The second temperature threshold is corrected by multiple consecutive temperature reference values recorded before the current sampling point to obtain the second corrected temperature threshold. Finally, it is determined whether the target human body meets the abnormal sleep state condition based on the human body temperature sampling value at the current sampling point and the second corrected temperature threshold. Since the human body temperature will not rise or fall sharply when the human body feels comfortable, the human body temperature sampling value at the current sampling point whose temperature difference from the previously adjacent human body temperature sampling value is smaller than the first temperature threshold can be used as the human body comfort temperature. Temperature reference value. Moreover, the changing trend of multiple continuous temperature reference values can also reflect changes in the normal temperature of the human body during sleep due to recent changes in weather, indoor environment and other factors. Therefore, when it is necessary to determine the sleep state, the second corrected temperature threshold is obtained by correcting the second temperature threshold based on a plurality of consecutive temperature reference values recorded before the current sampling point, so as to be used to determine the sleep state of the human body. Reduce or even eliminate the impact of recent changes in the human body's normal temperature during sleep, improving the accuracy of judging the human body's sleep state.

Further, before collecting the temperature of the target human body in the designated position area, the area occupied by the target human body can also be determined by performing infrared scanning on the designated position area, and by judging whether the area occupied by the target human body is smaller than the preset area. The threshold is used to determine whether the attribute of the target human body is a child, thereby further improving the pertinence and accuracy of human sleep state monitoring.

By now, those skilled in the art will appreciate that, although a number of exemplary embodiments of the present invention have been shown and described in detail herein, the disclosed embodiments may still be practiced in accordance with the present invention without departing from the spirit and scope of the present invention. The content directly identifies or leads to many other variations or modifications consistent with the principles of the invention. Accordingly, the scope of the present invention should be understood and deemed to cover all such other variations or modifications.

Claims (7)

1. A method for monitoring sleep states of a human body, comprising:

periodically collecting the temperature of a target human body in a designated position area to obtain a human body temperature sampling value;

calculating the temperature difference between a human body temperature sampling value of a current sampling point and a human body temperature sampling value sampled adjacently before, and judging whether the temperature difference is smaller than or equal to a first temperature threshold value;

if yes, recording the human body temperature sampling value of the current sampling point as a temperature reference value;

if not, a second temperature threshold value is obtained, and the second temperature threshold value is corrected according to a plurality of continuous temperature reference values recorded before the current sampling point to obtain a second corrected temperature threshold value;

judging whether the target human body accords with a sleep state abnormal condition or not according to the human body temperature sampling value of the current sampling point and the second correction temperature threshold value;

if yes, determining that the sleep state of the target human body is abnormal;

wherein,

the step of correcting the second temperature threshold according to the continuous multiple temperature reference values recorded before the current sampling point to obtain a second corrected temperature threshold comprises the following steps:

acquiring a sequence of temperature reference values in a first preset time period before the current sampling point to obtain a first temperature reference value sequence;

acquiring a sequence of temperature reference values in the first preset time period before the first temperature reference value sequence to obtain a second temperature reference value sequence;

calculating the ratio of the average value of the first temperature reference value sequence to the average value of the second temperature reference value sequence;

multiplying the second temperature threshold by the ratio to obtain the second corrected temperature threshold;

the sleep state exception condition includes:

the human body temperature sampling value of the current sampling point is smaller than the second correction temperature threshold value; or alternatively

The human body temperature sampling value of the current sampling point is smaller than the second correction temperature threshold value, the temperature of the target human body is continuously smaller than the second correction temperature threshold value within a second preset time period from the current sampling point, and the second preset time period is smaller than or equal to the acquisition period of the human body temperature sampling value.

2. The monitoring method according to claim 1, wherein,

the first preset duration is within the range of 24-48 h.

3. The monitoring method according to claim 1, wherein,

the periodically acquiring the temperature of the target human body in the designated position area comprises the following steps:

and periodically acquiring the temperature of the target human body in the specified position area through infrared sensing.

4. The monitoring method according to claim 3, wherein,

before the periodically acquiring the temperature of the target human body of the specified position area by infrared sensing, the method further comprises:

carrying out infrared scanning on the appointed position area to obtain temperature information of the appointed position area;

determining the area of the area occupied by the target human body according to the temperature information of the appointed position area;

judging whether the area of the area occupied by the target human body is smaller than a preset area threshold value or not;

if yes, the step of periodically collecting the temperature of the target human body in the appointed position area through infrared sensing is executed.

5. The monitoring method according to claim 4, wherein,

the step of periodically acquiring the temperature of the target human body in the specified position area through infrared sensing comprises the following steps:

and periodically scanning the temperature of the area occupied by the target human body in the appointed position area, and calculating the average temperature of the area occupied by the target human body as the temperature of the target human body in the appointed position area.

6. The monitoring method according to claim 1, wherein,

after determining that the sleep state of the target human body is abnormal, further comprising:

generating a sleep state abnormality warning signal;

sending out an alarm prompt according to the sleep state abnormality alarm signal;

wherein the alarm prompt comprises an audible prompt and/or a vibratory prompt.

7. A smart home device, comprising:

a temperature detection module configured to detect a temperature of a target human body in a specified position area; and

a control module, the control module comprising:

a processor; and

a memory storing computer program code;

the computer program code, when executed by the processor, causes the control module to perform the method of monitoring a sleep state of a human body according to any one of claims 1-6.