[go: up one dir, main page]

Colon et al., 2014 - Google Patents

Human fall detection with smartphones

Colon et al., 2014

Document ID
5361991987313914137
Author
Colon L
DeLaHoz Y
Labrador M
Publication year
Publication venue
2014 IEEE Latin-America Conference on Communications (LATINCOM)

External Links

Snippet

According to the CDC (Centers for Disease Control and Prevention), one in three people over the age of 65 are likely to experience a fall. Twenty to thirty percent of these people sustain injuries such as fractures, loss of independence, and even death [1]. Fall detection is …
Continue reading at ieeexplore.ieee.org (other versions)

Classifications

    • A—HUMAN NECESSITIES
    • A61—MEDICAL OR VETERINARY SCIENCE; HYGIENE
    • A61B—DIAGNOSIS; SURGERY; IDENTIFICATION
    • A61B5/00—Detecting, measuring or recording for diagnostic purposes; Identification of persons
    • A61B5/103—Detecting, measuring or recording devices for testing the shape, pattern, colour, size or movement of the body or parts thereof, for diagnostic purposes
    • A61B5/11—Measuring movement of the entire body or parts thereof, e.g. head or hand tremor, mobility of a limb
    • A61B5/1112—Global tracking of patients, e.g. by using GPS
    • G—PHYSICS
    • G08—SIGNALLING
    • G08B—SIGNALLING OR CALLING SYSTEMS; ORDER TELEGRAPHS; ALARM SYSTEMS
    • G08B21/00—Alarms responsive to a single specified undesired or abnormal operating condition and not elsewhere provided for
    • G08B21/02—Alarms for ensuring the safety of persons
    • G08B21/04—Alarms for ensuring the safety of persons responsive to non-activity, e.g. of elderly persons
    • G08B21/0438—Sensor means for detecting
    • A—HUMAN NECESSITIES
    • A61—MEDICAL OR VETERINARY SCIENCE; HYGIENE
    • A61B—DIAGNOSIS; SURGERY; IDENTIFICATION
    • A61B5/00—Detecting, measuring or recording for diagnostic purposes; Identification of persons
    • A61B5/103—Detecting, measuring or recording devices for testing the shape, pattern, colour, size or movement of the body or parts thereof, for diagnostic purposes
    • A61B5/11—Measuring movement of the entire body or parts thereof, e.g. head or hand tremor, mobility of a limb
    • A61B5/1121—Determining geometric values, e.g. centre of rotation or angular range of movement
    • A—HUMAN NECESSITIES
    • A61—MEDICAL OR VETERINARY SCIENCE; HYGIENE
    • A61B—DIAGNOSIS; SURGERY; IDENTIFICATION
    • A61B5/00—Detecting, measuring or recording for diagnostic purposes; Identification of persons
    • A61B5/103—Detecting, measuring or recording devices for testing the shape, pattern, colour, size or movement of the body or parts thereof, for diagnostic purposes
    • A61B5/11—Measuring movement of the entire body or parts thereof, e.g. head or hand tremor, mobility of a limb
    • A61B5/1116—Determining posture transitions
    • G—PHYSICS
    • G06—COMPUTING; CALCULATING; COUNTING
    • G06F—ELECTRICAL DIGITAL DATA PROCESSING
    • G06F3/00—Input arrangements for transferring data to be processed into a form capable of being handled by the computer; Output arrangements for transferring data from processing unit to output unit, e.g. interface arrangements
    • G06F3/01—Input arrangements or combined input and output arrangements for interaction between user and computer
    • G06F3/011—Arrangements for interaction with the human body, e.g. for user immersion in virtual reality
    • G—PHYSICS
    • G06—COMPUTING; CALCULATING; COUNTING
    • G06F—ELECTRICAL DIGITAL DATA PROCESSING
    • G06F3/00—Input arrangements for transferring data to be processed into a form capable of being handled by the computer; Output arrangements for transferring data from processing unit to output unit, e.g. interface arrangements
    • G06F3/01—Input arrangements or combined input and output arrangements for interaction between user and computer
    • G06F3/017—Gesture based interaction, e.g. based on a set of recognized hand gestures

Similar Documents

Publication Publication Date Title
Colon et al. Human fall detection with smartphones
Wang et al. An enhanced fall detection system for elderly person monitoring using consumer home networks
CN105336102B (en) Tumble detection positioning method and device
US9959732B2 (en) Method and system for fall detection
Ojetola et al. Fall detection with wearable sensors--safe (Smart Fall Detection)
Cao et al. E-FallD: A fall detection system using android-based smartphone
Hsieh et al. A wrist-worn fall detection system using accelerometers and gyroscopes
Shi et al. Fall Detection Algorithm Based on Triaxial Accelerometer and Magnetometer.
Gjoreski et al. RAReFall—Real-time activity recognition and fall detection system
Islam Automatic fall detection system of unsupervised elderly people using smartphone
CN111183460A (en) Fall detector and improvement of fall detection
CN106650300B (en) An elderly monitoring system and method based on extreme learning machine
Windau et al. Situation awareness via sensor-equipped eyeglasses
Bai et al. Recognition of direction of fall by smartphone
Lee et al. Using a smartwatch to detect stereotyped movements in children with developmental disabilities
Ge et al. Detecting Falls Using Accelerometers by Adaptive Thresholds in Mobile Devices.
Nemati et al. Gait velocity estimation for a smartwatch platform using Kalman filter peak recovery
Uslu et al. Human activity monitoring with wearable sensors and hybrid classifiers
Ojetola Detection of human falls using wearable sensors
Ye et al. Research of fall detection and alarm applications for the elderly
Rungnapakan et al. Fall detection using accelerometer, gyroscope & impact force calculation on android smartphones
Singh et al. Implementation of safety alert system for elderly people using multi-sensors
CN114098719A (en) Action detection method and device and wearable device
Al-Risi et al. Automated fall detection for disabled individuals using mobile phone sensors and machine learning: a survey
Park et al. IMU Sensor-Based Worker Behavior Recognition and Construction of a Cyber–Physical System Environment