Innovative Head-Mounted System Based on Inertial Sensors and Magnetometer for Detecting Falling Movements

This work presents a fall detection system that is worn on the head, where the acceleration and posture are stable such that everyday movement can be identified without disturbing the wearer. Falling movements are recognized by comparing the acceleration and orientation of a wearer's head using...

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Published inSensors (Basel, Switzerland) Vol. 20; no. 20; p. 5774
Main Authors Lin, Chih-Lung, Chiu, Wen-Ching, Chu, Ting-Ching, Ho, Yuan-Hao, Chen, Fu-Hsing, Hsu, Chih-Cheng, Hsieh, Ping-Hsiao, Chen, Chien-Hsu, Lin, Chou-Ching K, Sung, Pi-Shan, Chen, Peng-Ting
Format Journal Article
LanguageEnglish
Published Switzerland MDPI AG 12.10.2020
MDPI
Subjects
Acceleration
Accelerometers
Accidental Falls
Activities of Daily Living
Algorithms
Calibration
Fall detection
Humans
Magnetic fields
Microelectromechanical systems
Movement
Older people
orientation filter
Sensors
signal detecting and processing
Smartphones
triaxial accelerometer
triaxial gyroscope
triaxial magnetometer
Universal Serial Bus
Velocity
Wearable computers
Wearable Electronic Devices
Wireless networks
United States > US
fall detection
head-mounted devices
triaxial magnetometer
triaxial gyroscope
signal detecting and processing
triaxial accelerometer
orientation filter
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Summary:This work presents a fall detection system that is worn on the head, where the acceleration and posture are stable such that everyday movement can be identified without disturbing the wearer. Falling movements are recognized by comparing the acceleration and orientation of a wearer's head using prespecified thresholds. The proposed system consists of a triaxial accelerometer, gyroscope, and magnetometer; as such, a Madgwick's filter is adopted to improve the accuracy of the estimation of orientation. Moreover, with its integrated Wi-Fi module, the proposed system can notify an emergency contact in a timely manner to provide help for the falling person. Based on experimental results concerning falling movements and activities of daily living, the proposed system achieved a sensitivity of 96.67% in fall detection, with a specificity of 98.27%, and, therefore, is suitable for detecting falling movements in daily life.
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ISSN:1424-8220
1424-8220
DOI:10.3390/s20205774