JP2006105655A - Total food calorie checker and check method - Google Patents
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Abstract
【課題】携帯電話機や携帯情報端末になどの日常的に持ち歩ける情報機器に、食品総カロリーの測定機能を搭載することによって、いつでも自分の摂る食事の総カロリーをチェックし、データベース化することによって、健康管理の助けとなる手段を提供する。
【解決手段】近赤外光源１３、近赤外カメラ１４、および、該近赤外カメラ１４により前記近赤外光源１３による照明下で食品また食事メニューを撮像し、取得した近赤外画像データを画像処理・積算処理して食品または食事メニューの総カロリー量を算出する処理手段１６を携帯電話機１０に具備し、算出した総カロリー量をセンタサーバ５０に送信し、センタサーバ５０が、受信した総カロリー量データを蓄積してデータベース化する。
【選択図】 図１By installing a function for measuring the total calorie of food in information equipment that can be carried on a daily basis, such as a mobile phone or a portable information terminal, the total calorie of meals that you take at any time can be checked and databased. Provide a means to help with health care.
Near-infrared light source 13, near-infrared camera 14, and near-infrared image data obtained by imaging food or meal menu under illumination by near-infrared light source 13 with near-infrared camera 14 The mobile phone 10 is provided with processing means 16 for calculating the total calorie amount of the food or meal menu by performing image processing / accumulation processing, and the calculated total calorie amount is transmitted to the center server 50 and received by the center server 50. Accumulate calorie data and create a database.
[Selection] Figure 1
Description
本発明は、健康管理器具にかかり、より具体的には、日常の食事や食品の栄養価や総カロリーを測定し、健康維持・管理に資する、携帯電話機または携帯情報端末を用いた食品総カロリーチェッカーおよびチェック方法に関する。 The present invention relates to a health care device, and more specifically, measures the nutritional value and total calories of daily meals and foods, and contributes to health maintenance and management. Total food calories using a mobile phone or a portable information terminal The present invention relates to a checker and a check method.
近年の食生活の変化に伴い、現代人は、カロリー摂取過多による肥満や生活習慣病が重要な社会問題となってきている。日々の健康管理のためには、食生活の見直しが重要な要素になっており、特に、肥満と生活習慣病（糖尿病、高血圧、高脂血症、心臓病、脳卒中、がんなど）の関係が明らかになるにつれて、日常摂取する食品の総カロリーを確認、健康管理を図ることが重要と考えられるようになってきている。 With recent changes in dietary habits, obesity due to excessive caloric intake and lifestyle-related diseases have become important social problems. Review of diet is an important factor for daily health management, especially the relationship between obesity and lifestyle-related diseases (diabetes, hypertension, hyperlipidemia, heart disease, stroke, cancer, etc.) As it becomes clear, it is becoming important to check the total calories of foods taken daily and to manage health.
食品のカロリー計算は、大きな事業所の食堂、病院などでは専任の栄養士によって行われているが、現状では、食品要素毎に、標準カロリーデータベースに当り、個々の要素のカロリーを積算して算出する必要があり、多大な労力、手間隙がかかる。これを一般の家庭で行うには、「カロリー計算機」として市販されているデータベースを利用したり、「カロリースケール」と呼ぶ重量計付きのツールを利用して行うことになるが、日常的に行うことは困難が伴うことになる。 Calorie calculation of food is performed by full-time nutritionists in cafeterias and hospitals of large offices, but at present, for each food element, it is calculated by adding the calories of each element according to the standard calorie database. It is necessary and takes a lot of labor and labor. To do this at home, you can use a commercially available database as a “calorie calculator” or a tool with a weight scale called the “calorie scale”. That will be difficult.
しかし、前記生活習慣病の患者やその予備軍と呼ばれる人々は、食事管理が必要とされており、それを無理なく行うために、（非特許文献１，２，３）に上げられるように、食事メニューを写真に撮ってサービスセンタに伝送し、そこで栄養士等が食事メニューの写真を分析して食品を判別し、それらの量を推測して食品カロリーを算出し、栄養管理を行うというようなサービスが実施されている。しかし、費用的には、人手によることから生活習慣病の患者など必要不可欠な人以外が手軽に利用できるものにならないのが実情である。 However, the patients with the lifestyle-related diseases and the people called the reserve armies are required to manage their meals, and in order to do it without difficulty, (Non-Patent Documents 1, 2, and 3) Taking a meal menu and sending it to a service center, where nutritionists analyze food on the meal menu to determine food, estimate the amount of food, calculate food calories, and perform nutritional management Service is being implemented. However, in terms of cost, the fact is that it cannot be easily used by non-essential people, such as patients with lifestyle-related diseases, because it depends on human resources.
一方、食品を箱型の機械に入れ、近赤外線を照射し、その吸収率を測定することによって、食品総カロリーを測定する装置の開発事例も報告されている。（非特許文献４，５）。しかし、このような大型の装置では、外出先でとる食事の総カロリーをチェックすることが困難になる。
本発明では、携帯電話機や携帯情報端末になどの日常的に持ち歩ける情報機器に、食品総カロリーの測定機能を搭載することによって、いつでも自分の摂る食事の総カロリーをチェックし、データベース化することによって、健康管理の助けとなる手段を提供することを目的としている。 In the present invention, by incorporating a function for measuring the total calorie of food into an information device that can be carried on a daily basis, such as a mobile phone or a portable information terminal, the total calorie of the meals to be consumed can be checked at any time and converted into a database. It aims to provide a means to help health care.
前記の課題を解決するために、本発明では、携帯電話機または携帯情報端末に、近赤外光源と近赤外カメラを搭載することによって、常時携帯可能とし、食事をする前に、食品トレイ（食卓）上に載った食事の全景を撮影し、その画像データを基に、これから食べようとする食事の総カロリーを測定、算出し、データベース化することによって、健康管理を可能とする。 In order to solve the above-described problems, in the present invention, a mobile phone or a personal digital assistant is equipped with a near-infrared light source and a near-infrared camera so that it can be always carried and before eating, a food tray ( Health management is made possible by taking a panoramic view of the meal on the table and measuring and calculating the total calories of the meal to be eaten based on the image data and creating a database.
つまり、本発明の食品総カロリーチェッカーは、近赤外光源、近赤外カメラ、および、前記近赤外カメラにより前記近赤外光源による照明下で食品また食事メニューを撮像し、取得した近赤外画像データを画像処理・積算処理して食品または食事メニューの総カロリー量を算出する処理手段を携帯電話機または携帯情報端末に具備したことに特徴を有する。より実際的には、前記近赤外カメラには、被写体までの距離を得ることができるオートフォーカス装置を備え、前記処理手段は、該オートフォーカス装置で得た被写体までの距離と、前記赤外線カメラの仕様と、前記近赤外カメラで撮像した被写体である食品または食事メニューの画像データから食品または食事メニューの実際の大きさを求めて総カロリー量を算出する。 That is, the food total calorie checker according to the present invention is a near-infrared light source, a near-infrared camera, and a near-red light obtained by imaging a food or meal menu under illumination with the near-infrared light source by the near-infrared camera. The present invention is characterized in that the mobile phone or the portable information terminal has processing means for calculating the total calorie amount of the food or meal menu by performing image processing / integration processing on the outside image data. More practically, the near-infrared camera is provided with an autofocus device capable of obtaining a distance to the subject, and the processing means includes a distance to the subject obtained by the autofocus device, and the infrared camera. And the actual size of the food or meal menu, which is the subject imaged by the near-infrared camera, is calculated to calculate the total calorie content.
請求項３記載の食品総カロリーチェック方法に関する発明は、請求項１または請求項２記載の食品総カロリーチェッカーにより、食品または食事メニューの総カロリー量を算出し、算出した総カロリー量をサーバに送信し、サーバは、受信した総カロリー量データを蓄積してデータベース化することに特徴を有する。 The invention related to the food total calorie check method according to claim 3 calculates the total calorie content of the food or meal menu by the food total calorie checker according to claim 1 or claim 2, and transmits the calculated total calorie amount to the server. The server is characterized by accumulating the received total calorie data and creating a database.
請求項４記載の食品総カロリーチェッカーは、近赤外光源と、近赤外カメラと、通信手段とを具備する携帯電話機または携帯情報端末の近赤外カメラにより近赤外光源による照明下で食品、食事メニューを撮影し、撮影した近赤外画像データを通信手段を介してセンタサーバ宛送信することに特徴を有する。この発明の前記近赤外カメラは、オートフォーカス装置と、該オートフォーカス装置により得た該被写体までの距離と、前記赤外線カメラの仕様とによって定まる、赤外線カメラの各画素に写った食品の実際の大きさを算出して、前記近赤外画像データとともに通信手段を介してサーバ宛送信することが実際的である。 The food total calorie checker according to claim 4 is a food under illumination by a near-infrared light source by a near-infrared light source of a mobile phone or a portable information terminal comprising a near-infrared light source, a near-infrared camera, and a communication means. The method is characterized in that the meal menu is photographed and the photographed near-infrared image data is transmitted to the center server via the communication means. The near-infrared camera of the present invention is an actual image of food reflected in each pixel of the infrared camera, which is determined by an autofocus device, a distance to the subject obtained by the autofocus device, and specifications of the infrared camera. It is practical to calculate the size and transmit it to the server via the communication means together with the near-infrared image data.
請求項６記載の食品総カロリーチェック方法に関する発明は、近赤外光源と、近赤外カメラと、通信手段とを具備する携帯電話機または携帯情報端末の近赤外カメラにより近赤外光源による照明下で食品、食事メニューを撮影し、撮影した近赤外画像データを通信手段を介してサーバ宛送信し、該送信された近赤外画像データをサーバで受信し、該サーバにおいて、受信した近赤外画像データを基に、画像処理・積算処理して食品、食事メニューの総カロリー量を算出し、算出した総カロリー量を前記携帯電話機または携帯情報端末に返信し、または蓄積してデータベース化することに特徴を有する。この発明の前記近赤外カメラは、オートフォーカス装置と、該オートフォーカス装置により得た該被写体までの距離と、前記赤外線カメラの仕様とによって定まる、赤外線カメラの各画素に写った食品の実際の大きさを算出して、前記近赤外画像データとともに通信手段を介してサーバ宛送信し、該サーバは、受信した近赤外画像データおよび食品または食事メニューの大きさデータに基づいて食品、食事メニューの総カロリー量を算出することが実際的である。 The invention relating to the total food calorie check method according to claim 6 is an illumination by a near-infrared light source by a near-infrared light source of a cellular phone or a portable information terminal comprising a near-infrared light source, a near-infrared camera, and a communication means. The food and meal menu is photographed below, the photographed near infrared image data is transmitted to the server via the communication means, the transmitted near infrared image data is received by the server, and the received near infrared image data is received by the server. Based on infrared image data, image processing / integration processing is performed to calculate the total calorie content of food and meal menus, and the calculated total calorie content is returned to the mobile phone or portable information terminal or accumulated to form a database. It has the feature to do. The near-infrared camera of the present invention is an actual image of food reflected in each pixel of the infrared camera, which is determined by an autofocus device, a distance to the subject obtained by the autofocus device, and specifications of the infrared camera. The size is calculated and transmitted to the server through the communication means together with the near-infrared image data, and the server uses the received near-infrared image data and the size data of the food or meal menu for the food, meal It is practical to calculate the total calorie content of the menu.
請求項８記載の食品総カロリーチェック方法に関する発明は、携帯電話機または携帯情報端末に搭載した近赤外カメラにより撮影し、該撮影した画素単位の近赤外画像データと、該近赤外カメラと食品までの距離と前記赤外線カメラの仕様とから食品の実際の面積を求め、実際の面積と所定の比重から食品の総重量を求め、近赤外画像データから各画素毎にタンパク質の吸光度α、脂肪質の吸光度β、糖質の吸光度γを求め、各画素毎に、各吸光度α、β、γに対応するエネルギー換算係数を掛けてカロリー値を算出し、該カロリー値と、総重量とを掛けて総カロリーを算出することに特徴を有する。この発明において、前記近赤外画像データから求めた各画素毎にタンパク質の吸光度α、脂肪質の吸光度β、糖質の吸光度γに基づいて、一定のしきい値以下の吸光度の画素を食品以外の物として除外する。 The invention relating to the total food calorie check method according to claim 8 is taken by a near-infrared camera mounted on a mobile phone or a portable information terminal, the taken near-infrared image data in pixel units, the near-infrared camera, Obtain the actual area of the food from the distance to the food and the specifications of the infrared camera, determine the total weight of the food from the actual area and the specific gravity, and the protein absorbance α for each pixel from the near-infrared image data, Obtain fat absorbance β and carbohydrate absorbance γ, and calculate the calorie value by multiplying the energy conversion coefficient corresponding to each absorbance α, β, γ for each pixel, and calculate the calorie value and the total weight. Multiplying to calculate total calories. In this invention, pixels having an absorbance below a certain threshold value other than food are determined based on protein absorbance α, fat absorbance β, and carbohydrate absorbance γ for each pixel obtained from the near-infrared image data. Are excluded.
本発明によれば、毎食事の前に、携帯電話機を取り出して食卓上の近赤外線画像を取得するという操作だけを行えば、利用者が自己の食事の総カロリーを簡単に管理することができるようになる食品総カロリーチェッカーが提供できる。また、本発明品を利用することで、食事管理を実施することができ、肥満や生活習慣病（糖尿病、高血圧、高脂血症、心臓病、脳卒中、がんなど）の予防に役立てることができる。 According to the present invention, the user can easily manage the total calories of his / her meal by simply taking out the mobile phone and acquiring a near infrared image on the table before each meal. A total food calorie checker can be provided. In addition, by using the product of the present invention, dietary management can be carried out, which can be useful for preventing obesity and lifestyle-related diseases (diabetes, hypertension, hyperlipidemia, heart disease, stroke, cancer, etc.). it can.
さらに、本発明では、人手を介することなく食事の総カロリーを算出、記録できるため、サービスを安価に提供でき、広く一般の市民が利用可能となり、社会問題となっている肥満や生活習慣病の問題の解決に役立つことになる。 Furthermore, in the present invention, since the total calories of meals can be calculated and recorded without human intervention, the service can be provided at a low cost, widely available to the general public, and obesity and lifestyle-related diseases that are social problems. It will help solve the problem.
以下、本発明の好適な実施の形態を図面に基づいて説明する。図１には、本発明の好適な実施の形態である、携帯電話機を用いた食品総カロリーチェッカーの構成と使用例に関する実施例１を示した。操作ボタン１１およびディスプレイ（液晶表示画面）１２を備えた携帯電話機１０には、近赤外光源１３、例えば近赤外線ＬＥＤまたは近赤外線フラッシュと、近赤外線に感度を有する近赤外カメラ（デジタルカメラ）１４と、近赤外カメラ１４で撮影した食品の近赤外画像データからカロリーを算出するアルゴリズムを実行する、図示しない情報処理手段（マイコン）が内蔵されている。 DESCRIPTION OF EXEMPLARY EMBODIMENTS Hereinafter, preferred embodiments of the invention will be described with reference to the drawings. FIG. 1 shows Example 1 relating to the configuration and usage example of a food total calorie checker using a mobile phone, which is a preferred embodiment of the present invention. A mobile phone 10 having an operation button 11 and a display (liquid crystal display screen) 12 includes a near infrared light source 13, for example, a near infrared LED or a near infrared flash, and a near infrared camera (digital camera) having sensitivity to the near infrared. 14 and an information processing means (microcomputer) (not shown) that executes an algorithm for calculating calories from near-infrared image data of food taken by the near-infrared camera 14 is incorporated.
使用者は、食事をする前に、携帯電話機１０の近赤外カメラ１４により、使用者が摂取する予定の食品トレイ（食卓）上に載った食品（食事）１００の全景をできるだけ撮影画面一杯に捉えるように構図決めして、近赤外光源１３を点灯させて撮影する。近赤外光源１３は、食品の脂肪、糖、蛋白質や食品の総カロリーと直接的に相関のある吸収波長を発光するように設計してあり、情報処理手段は、近赤外カメラ１４で取得した近赤外画像データから脂肪、糖、蛋白質の組成比を求め、食品の総カロリーを積算、算出する。 Before eating, the user uses the near-infrared camera 14 of the mobile phone 10 to capture the entire view of the food (meal) 100 on the food tray (table) that the user intends to ingest as much as possible. The composition is determined so as to be captured, and the near-infrared light source 13 is turned on to take a picture. The near-infrared light source 13 is designed to emit an absorption wavelength that directly correlates with the fat, sugar, protein of food, and the total calories of food, and the information processing means is acquired by the near-infrared camera 14. The composition ratio of fat, sugar and protein is obtained from the obtained near-infrared image data, and the total calories of the food are integrated and calculated.
算出した結果、例えば食品総カロリー７５０ｋｃａｌは、携帯電話機１０のディスプレイ１２に表示すると共に、携帯電話機１０の通信機能を介して通信ネットワーク（インターネット）４０を経由してセンタサーバ５０宛送信し、センタサーバ５０において蓄積して携帯電話機１０毎または使用者ごとにデータベース（ＤＢ）化する。そうして後日、使用者が何時でも、１週間分や１ヶ月分、１年分あるいは全期間のデータを検索できるようにデータベースを設計製作して、健康管理に資するようにする。 As a result of the calculation, for example, a total food calorie of 750 kcal is displayed on the display 12 of the mobile phone 10 and transmitted to the center server 50 via the communication network (Internet) 40 via the communication function of the mobile phone 10. In 50, the data is stored in a database (DB) for each mobile phone 10 or for each user. Then, at a later date, the database is designed and manufactured so that the user can retrieve data for one week, one month, one year, or the entire period at any time to contribute to health care.
また、通常の携帯電話機に設けられている（自然画）カメラも連動させて、このカメラで撮影した食事内容（食事メニュー）の画像データをセンタサーバ５０宛送信し、さらにＧＰＳデータ（位置データ、何処のレストランで何時に食事したか）などの付加価値データも付加して送信、記録を保管することで、例えばブログ（ウェブ上に書き込む個人用日誌）サービスのようなものとして、利用者の便宜を図ることも考えられる。 In addition, in conjunction with a (natural image) camera provided in a normal mobile phone, image data of meal contents (meal menu) photographed by this camera is transmitted to the center server 50, and GPS data (position data, By adding value-added data such as where to eat at which restaurant) and sending and storing records, the convenience of the user, such as a blog (personal diary written on the web) service, etc. It is also possible to plan.
このように本発明の実施例１によれば、使用者は、後日、自分の食事内容（カロリー）をＤＢ閲覧することで見直し、自分の体重変化や日常の運動量と勘案するなどして、自己の食生活を省み、健康管理を行うことができるようになる。また、医師の食生活に関するアドバイスを受ける際に具体的な自己の食生活データを参照しながら行うことができるようになるため、より具体的、詳細なアドバイスを受けることができるようになる。さらに、歩数計付き携帯電話機から得られる利用者の日常の運動量と勘案することにより、適正な食事内容になっているかなど健康管理に利用することができるようになる。 As described above, according to the first embodiment of the present invention, the user can review his / her meal content (calorie) by browsing the DB at a later date and consider his / her weight change and daily exercise amount. You will be able to manage your health by omitting your diet. Further, since it becomes possible to refer to specific eating habits data when receiving advice on the eating habits of a doctor, more specific and detailed advice can be received. Furthermore, by taking into account the daily exercise amount of the user obtained from the cellular phone with a pedometer, it can be used for health management such as whether the meal content is appropriate.
図２には、本発明の食品総カロリー算出機能をセンタサーバ５０に設けた、食品総カロリーチェックシステムの好適な実施の形態であるシステムの構成と使用例に関する実施例２を示した。この実施例２は、近赤外画像データから脂肪、糖、蛋白質の組成比や食品総カロリー量を積算、算出する分析計算処理ならびにアルゴリズムを実装すると携帯できる大きさに製作するのが困難であったり、処理時間がかかったりして非現実的である場合に適している。 FIG. 2 shows a second embodiment of the system configuration and usage example, which is a preferred embodiment of the food total calorie check system in which the center server 50 is provided with the food total calorie calculation function of the present invention. This Example 2 is difficult to produce in a portable size when an analytical calculation process and algorithm for integrating and calculating the composition ratio of fat, sugar, and protein and the total calorie content of food from near-infrared image data are implemented. Or when processing time is unrealistic.
実施例2では、実施例１と同様に携帯電話機１０の近赤外カメラ１４で食品（食事）１００の全景を撮影し、撮影した近赤外画像データを携帯電話機１０に具備する通信手段通信機能を介して通信ネットワーク（インターネット）４０を経由してセンタサーバ５０宛送信する。該センタサーバ５０では、脂肪、糖、蛋白質の組成比および食品の総カロリー量を積算、算出し、さらに、計算結果を前記通信手段を介して携帯電話機１０宛返信し、ディスプレイ１２で表示可能にする。このように実施例２では、センタサーバ５０内で計算した結果（総食品カロリー量およびその他のデータ）を、携帯電話機１０に返信すると共に、センタサーバ５０内でデータベース（ＤＢ）化し、利用者が後日、１週間分や１ヶ月分、１年分のデータを検索できるように設計製作し、健康管理に資するようにする。 In the second embodiment, as in the first embodiment, the entire infrared image data of the food (meal) 100 is photographed by the near-infrared camera 14 of the mobile phone 10, and the communication means communication function in which the taken near-infrared image data is provided in the mobile phone 10. To the center server 50 via the communication network (Internet) 40. In the center server 50, the composition ratio of fat, sugar and protein and the total calorie content of food are integrated and calculated, and the calculation result is sent back to the mobile phone 10 via the communication means and can be displayed on the display 12. To do. As described above, in the second embodiment, the result (total food calorie content and other data) calculated in the center server 50 is returned to the mobile phone 10 and is converted into a database (DB) in the center server 50. It will be designed and manufactured so that data for one week, one month, and one year can be retrieved at a later date to contribute to health management.
また、通常の携帯電話機に設けられている（自然画）カメラも連動させ、食事内容（メニュー画像）をセンタ宛送信し、それにＧＰＳデータ（位置データ、何処のレストランで何時に食事したか）も付加して送信、記録を保管することでブログ（ウェブ上に書き込む個人用日誌）サービスのようなものとして、利用者の便宜を図ることもできる。 In addition, the camera (natural image) provided in a normal mobile phone is also linked, and the meal contents (menu image) are transmitted to the center, and the GPS data (location data, where the restaurant was eaten at) In addition, it can be used as a blog (personal diary to be written on the web) service by storing and storing the records, and the convenience of the user can be achieved.
利用者は、後日、自分の食事内容（カロリー）をＤＢから読み出して閲覧することで見直し、自分の体重変化や日常の運動量と勘案するなどして、自己の食生活を省み、健康管理を行うことができるようになる。また、医師の食生活に関するアドバイスを見る際に具体的な自己の食生活データを参照しながら行うことができるようになるため、より具体的、詳細なアドバイスを受けることができるようになる。さらに、歩数計付き携帯電話機を使用して歩数もデータとして記録して利用者の日常の運動量と勘案することにより、適正な食事内容になっているかなど健康管理に利用することができるようになる。 At a later date, users will read and review their meal contents (calories) from the DB and review them, taking into account their own weight changes and daily exercise, etc. Will be able to do. In addition, since it is possible to refer to specific dietary data when referring to advice regarding the dietary habits of a doctor, more specific and detailed advice can be received. Furthermore, by using a mobile phone with a pedometer and recording the number of steps as data and taking into account the daily exercise amount of the user, it can be used for health management such as whether the meal content is appropriate. .
図３には、本発明の好適な実施の形態である食品総カロリー量算出アルゴリズム（方法）の一例を示した。まず、使用者は、近赤外カメラ１４を食品トレイ１００に正対させて食品トレイ１００の全景が撮影範囲内に収まるように構図を決め、近赤外光源１３を発光させて撮影し、近赤外画像データを取得する（ステップ（以下「Ｓ」）１）。この際携帯電話機１０は、オートフォーカス機能によって、近赤外カメラ１４（携帯電話機１０）と被写体（食品トレイ１００）間の距離を求めて距離データｒとする（Ｓ２）。 FIG. 3 shows an example of a total food calorie calculation algorithm (method) that is a preferred embodiment of the present invention. First, the user sets the near-infrared camera 14 directly to the food tray 100, determines the composition so that the entire view of the food tray 100 is within the photographing range, and shoots the near-infrared light source 13 to emit light. Infrared image data is acquired (step (hereinafter “S”) 1). At this time, the mobile phone 10 obtains the distance between the near-infrared camera 14 (mobile phone 10) and the subject (food tray 100) by the autofocus function and sets it as distance data r (S2).
近赤外カメラ１４で撮影した画像データ１０１は、画素ごとに正方形の碁盤目状に分割形成されている。近赤外カメラ１４の仕様、つまりレンズ焦点距離データおよび画素サイズデータは予め分かっているので、各画素に写った被写体の実際の二辺の長さは距離データｒから算出できる。この実施例では、近赤外カメラ１４の仕様に基づく係数をθとすると、１個の画素に写った被写体の実際の面積ＳはＳ＝（ｒθ）×（ｒθ）となるので、被写体が写っている画素数ｎを求めれば、全体の面積ＳはＳ＝ｓ×ｎにより求めることができる（Ｓ３）。 The image data 101 photographed by the near-infrared camera 14 is divided and formed in a square grid pattern for each pixel. Since the specifications of the near-infrared camera 14, that is, the lens focal length data and the pixel size data are known in advance, the actual lengths of the two sides of the subject shown in each pixel can be calculated from the distance data r. In this embodiment, if the coefficient based on the specification of the near-infrared camera 14 is θ, the actual area S of the subject shown in one pixel is S = (rθ) × (rθ), so the subject is shown. If the number of pixels n is obtained, the total area S can be obtained by S = s × n (S3).
この面積Ｓに比重ρ（水の比重で近似できる）を乗じて、画素に写った部分の重量Ｗを算出する（Ｓ４）。 The area S is multiplied by a specific gravity ρ (which can be approximated by the specific gravity of water) to calculate the weight W of the portion shown in the pixel (S4).
一方、近赤外カメラ１４で取得した近赤外画像データには各画素毎に、蛋白質、脂肪質、糖質の吸光度の情報が含まれている。この蛋白質の吸光度α、脂肪質の吸光度β、糖質の吸光度γを画素毎に求める（Ｓ５）。食品成分と吸光度との関係は、非特許文献４、５に示されている。ここで、ある一定のしきい値以下の吸光度を示す画素については、食品以外の物、例えば食器、テーブル等として識別し、計算から外すものとする（Ｓ６）。 On the other hand, near-infrared image data acquired by the near-infrared camera 14 includes information on the absorbance of proteins, fats, and carbohydrates for each pixel. The absorbance α of the protein, the absorbance β of the fat, and the absorbance γ of the carbohydrate are obtained for each pixel (S5). The relationship between food components and absorbance is shown in Non-Patent Documents 4 and 5. Here, it is assumed that the pixel indicating the absorbance below a certain threshold is identified as an object other than food, such as tableware, a table, etc., and excluded from the calculation (S6).
求めた蛋白質の吸光度α、脂肪質の吸光度β、糖質の吸光度γに「エネルギー換算係数」を掛けて、単位重量当りのカロリー値Ｋ（ｋｃａｌ／ｇ）を算出する（Ｓ７）。「エネルギー換算係数」の値は、予め、別途実験により求め、データとして携帯電話機１０またはセンタサーバ５０に蓄積しておく。 The calorie value K (kcal / g) per unit weight is calculated by multiplying the determined protein absorbance α, fat absorbance β, and carbohydrate absorbance γ by the “energy conversion factor” (S7). The value of “energy conversion coefficient” is obtained in advance by experiments and stored in the mobile phone 10 or the center server 50 as data.
この近赤外画像データ（蛋白質、脂質、糖質の割合）から求めた単位重量当りのカロリー値Ｋと、先の画素に対応する重量Ｗを用いて、食品総カロリー量を計算する（Ｓ９）。例えば、ステップＳ１で撮影した被写体中、小茶碗は、蛋白質７％、脂質１％、糖質７５％の食品であり、近赤外カメラ１４から３０ｃｍの位置にある小茶碗に載っていて画素数１００個を占めることから、面積Ｓは（ｒθ）×（ｒθ）×１００、重量ＷはＳ×ρで約１００ｇであり、総カロリー量は、蛋白質の熱量３．８ｋｃａｌ／ｋｇ×１００ｇ×０．０７＋脂質の熱量７．０ｋｃａｌ／ｋｇ×１００ｇ×０．０１＋糖質の熱量４．０ｋｃａｌ／ｋｇ×１００ｇ×０．７５＝３３４ｋｃａｌと算出することができる。 The total calorie content of food is calculated using the calorie value K per unit weight obtained from the near-infrared image data (proportion of protein, lipid, and sugar) and the weight W corresponding to the previous pixel (S9). . For example, in the subject photographed in step S1, the small tea bowl is a food of 7% protein, 1% fat, and 75% sugar, and is placed on the small tea bowl located 30 cm from the near-infrared camera 14. Since it occupies 100 pieces, the area S is (rθ) × (rθ) × 100, the weight W is S × ρ, which is about 100 g, and the total calorie is 3.8 kcal / kg × 100 g × 0. It can be calculated as 07 + lipid calorie 7.0 kcal / kg × 100 g × 0.01 + carbohydrate calorie 4.0 kcal / kg × 100 g × 0.75 = 334 kcal.
算出した総カロリーを、携帯電話機１０のディスプレイ１２に表示するとともに、自動的に、あるいは使用者の操作を受けてセンタサーバ５０宛、例えば電子メール（Ｅ−ｍａｉｌ）等によって送信する（Ｓ９）。 The calculated total calories are displayed on the display 12 of the mobile phone 10 and transmitted to the center server 50, for example, by e-mail (E-mail) automatically or in response to a user operation (S9).
図１に示した実施例１は、携帯電話機１０においてこのフローチャートに示した全てのステップ（Ｓ１乃至Ｓ９）を実行し、図２に示した実施例２では、携帯電話機１０においてＳ１乃至Ｓ４およびＳ９の処理を実行してデータおよび画像データをセンタサーバ５０に送信し、センタサーバ５０においてＳ５乃至Ｓ８の処理を実行する。そうして算出結果を、携帯電話機１０に送信し、携帯電話機１０のディスプレイ１２に表示する。なお、Ｓ２乃至Ｓ４とＳ５乃至Ｓ８を並列に示したが、実施例１では直列に処理できる。 In the first embodiment shown in FIG. 1, all steps (S1 to S9) shown in this flowchart are executed in the mobile phone 10, and in the second embodiment shown in FIG. 2, S1 to S4 and S9 are executed in the mobile phone 10. The processing and the image data are transmitted to the center server 50, and the processing from S5 to S8 is executed in the center server 50. Then, the calculation result is transmitted to the mobile phone 10 and displayed on the display 12 of the mobile phone 10. In addition, although S2 thru | or S4 and S5 thru | or S8 were shown in parallel, in Example 1, it can process in series.
図４には、本発明における食品総カロリーチェッカー、チェックシステムの機能ブロック図を示した。中央上部に枠で囲んだ部分が、携帯電話機１０または携帯情報端末に内蔵する機能を示す。この携帯電話機１０は、カメラ機能として、近赤外光源１３、近赤外カメラ１４と、近赤外カメラ１４のフォーカシングレンズ群を移動させて焦点調節を行うオートフォーカス装置１８および、例えばオートフォーカス装置１８により合焦位置まで移動したフォーカシングレンズ群の位置から焦点距離を検出する距離検出手段１９を備えている。 In FIG. 4, the functional block diagram of the food total calorie checker and check system in this invention was shown. A portion surrounded by a frame at the upper center of the center indicates a function built in the mobile phone 10 or the portable information terminal. This mobile phone 10 has, as a camera function, an autofocus device 18 that performs focus adjustment by moving a near-infrared light source 13, a near-infrared camera 14, and a focusing lens group of the near-infrared camera 14, and an autofocus device, for example. Distance detecting means 19 for detecting the focal length from the position of the focusing lens group moved to the in-focus position by 18 is provided.
近赤外光源１３は、蛋白質、脂肪質、糖質の成分と吸光度α、β、γとの相関関係が高い３波長（非特許文献４）を含むことが好ましい。そうして、近赤外カメラ１４により３波長分の画像を撮影し、画像処理回路１５によって３波長分の近赤外画像データを生成する。 The near-infrared light source 13 preferably includes three wavelengths (Non-Patent Document 4) in which the correlation between the protein, fat, and sugar components and the absorbances α, β, and γ is high. Then, an image for three wavelengths is taken by the near infrared camera 14, and near infrared image data for three wavelengths is generated by the image processing circuit 15.
近赤外カメラ１４で撮影した画像信号は、画像処理回路１５により所定の画像処理が施されて所定フォーマットの画像データに変換され、処理手段１６、例えばＣＰＵとメモリ、マイコン等、に出力される。処理手段１６は、図３に示したフローチャートに基づいたアルゴリズムにより画像データを処理し、総カロリー量を計算する。なお、エネルギー換算計数は、予め、フラッシュメモリ等にＤＢ（データベース）１７化されて保存されている。計算結果は、携帯電話機能２０、またはネットワーク（ＮＷ）インターフェース部２１から通信ネットワーク（インターネット）４０を介してセンタサーバ５０に送信する。 The image signal captured by the near-infrared camera 14 is subjected to predetermined image processing by the image processing circuit 15 and converted into image data of a predetermined format, and is output to the processing means 16, for example, a CPU, a memory, a microcomputer, and the like. . The processing means 16 processes the image data by an algorithm based on the flowchart shown in FIG. 3, and calculates the total calorie content. The energy conversion count is stored in advance in a DB (database) 17 in a flash memory or the like. The calculation result is transmitted from the mobile phone function 20 or the network (NW) interface unit 21 to the center server 50 via the communication network (Internet) 40.
センタサーバ５０は、受信した計算結果（食品総カロリー量データ）等を、使用者毎にデータベース５２に蓄積し、後日使用者からの要求に応じて使用者宛送信する。あるいはセンタサーバ５０をインターネットウェブサーバとして機能させ、使用者ごとにブログ５３として記録／表示させ、使用者が携帯電話機１０によって自分のブログにアクセスし、計算結果（食品総カロリー量データ）等をアップロードする構成としてもよい。 The center server 50 accumulates the received calculation results (food total calorie content data) and the like in the database 52 for each user, and transmits to the user at a later date in response to a request from the user. Alternatively, the center server 50 can function as an Internet web server, and can be recorded / displayed as a blog 53 for each user, and the user can access his blog by the mobile phone 10 and upload a calculation result (total food calorie data) or the like. It is good also as composition to do.
カロリー計算機能については、実施例１のように携帯電話機１０または携帯情報端末内に搭載した処理手段１６、ＤＢ１７に持たせてもよいし、これらの実装が困難である場合には、実施例２のようにセンタサーバ５０に持たせて、携帯電話機１０または携帯情報端末から画像データを通信ネットワーク（インターネット）４０を介して、センタサーバ５０に伝送し、センタサーバ５０内に実装したプロセッサ（情報処理手段）５１で実行してもよい。 The calorie calculation function may be provided in the processing means 16 and the DB 17 mounted in the mobile phone 10 or the portable information terminal as in the first embodiment, or when it is difficult to implement these, the second embodiment. The processor (information processing system) provided in the center server 50 transmits image data from the mobile phone 10 or the portable information terminal to the center server 50 via the communication network (Internet) 40 and is installed in the center server 50. (Means) 51.
本発明は、食品または食事メニューを近赤外カメラで撮影し、撮影された近赤外画像データから吸収率を測定して食事の蛋白質、脂肪質、糖質、の組成や総カロリーを測定することが可能な携帯電話機等の端末に搭載したカロリーチェッカー、近赤外カメラを搭載した携帯電話機等の端末と、近赤外画像データを受信して蛋白質、脂肪質、糖質、の組成や総カロリーをセンタサーバで測定する食品総カロリーチェックシステムおよびカロリーチェック方法に関する発明である。日常的に持ち歩く携帯電話機等により食品、食事メニューを撮影すればよいので、家庭内だけでなく外出した際も食事をする前に容易に使用ができ、さらに、データベース化による健康管理も容易に行うことができる。 The present invention takes a food or meal menu with a near-infrared camera, measures the absorption rate from the captured near-infrared image data, and measures the composition and total calories of protein, fat, and sugar in the meal. A mobile phone equipped with a calorie checker, a mobile phone equipped with a near-infrared camera, etc. It is invention regarding the food total calorie check system and calorie check method which measure a calorie with a center server. You can shoot food and meal menus with a mobile phone that you carry with you on a daily basis, so you can easily use it before meals, not only at home but also when you go out. be able to.
１０ 携帯電話機
１１ 操作ボタン
１２ ディスプレイ
１３ 近赤外光源
１４ 近赤外カメラ
１５ 画像処理回路
１６ 処理手段
２０ 携帯電話機能
２１ ネットワーク（ＮＷ）インターフェース部
４０ 通信ネットワーク（インターネット）
５０ センタサーバ
１００ 食品トレイ
DESCRIPTION OF SYMBOLS 10 Mobile telephone 11 Operation button 12 Display 13 Near-infrared light source 14 Near-infrared camera 15 Image processing circuit 16 Processing means 20 Cell-phone function 21 Network (NW) interface part 40 Communication network (Internet)
50 Center server 100 Food tray
Claims (9)
近赤外カメラ、および、
前記近赤外カメラにより前記近赤外光源による照明下で食品また食事メニューを撮像し、取得した近赤外画像データを画像処理・積算処理して食品または食事メニューの総カロリー量を算出する処理手段を携帯電話機または携帯情報端末に具備したことを特徴とする食品総カロリーチェッカー。 Near-infrared light source,
Near-infrared camera, and
A process for imaging a food or meal menu under illumination by the near-infrared light source by the near-infrared camera, and calculating the total calorie content of the food or meal menu by performing image processing / integration processing on the acquired near-infrared image data A food total calorie checker characterized in that the means is provided in a mobile phone or a portable information terminal.
該撮影した画素単位の近赤外画像データと、該近赤外カメラと食品までの距離と前記赤外線カメラの仕様とから食品の実際の面積を求め、
実際の面積と所定の比重から食品の総重量を求め、
近赤外画像データから各画素毎にタンパク質の吸光度α、脂肪質の吸光度β、糖質の吸光度γを求め、
各画素毎に、各吸光度α、β、γに対応するエネルギー換算係数を掛けてカロリー値を算出し、
該カロリー値と、総重量とを掛けて総カロリーを算出することを特徴とする食品総カロリーチェック方法。 Take a picture with a near-infrared camera on a mobile phone or personal digital assistant,
From the captured near-infrared image data in pixel units, the distance from the near-infrared camera to the food and the specifications of the infrared camera, the actual area of the food is determined,
Find the total weight of the food from the actual area and the specified specific gravity,
Obtain the protein absorbance α, the fat absorbance β, and the carbohydrate absorbance γ for each pixel from the near-infrared image data,
For each pixel, calculate the calorie value by multiplying the energy conversion coefficient corresponding to each absorbance α, β, γ,
A method for checking the total calories of food, wherein the total calories are calculated by multiplying the calorie value and the total weight.
9. The food total calorie check method according to claim 8, wherein a constant threshold value is determined based on protein absorbance α, fat absorbance β, and carbohydrate absorbance γ for each pixel obtained from the near-infrared image data. A total food calorie check method that excludes the following pixels of absorbance as non-food items.
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