ETRI-Knowledge Sharing Plaform



논문 검색
구분 SCI
연도 ~ 키워드


학술대회 An Efficient Method for Activity Recognition of the Elderly Using Tilt Signals of Tri-axial Acceleration Sensor
Cited 13 time in scopus Download 0 time Share share facebook twitter linkedin kakaostory
송사광, 장재원, 박수준
International Conference on Smart Homes and Health Telematics (ICOST) 2008 (LNCS 5120), v.5120, pp.99-104
08MC2500, 유비쿼터스 건강관리용 모듈 시스템, 박선희
We propose an activity recognition system for the elderly using a wearable sensor module embedding a tri-axial accelerometer, considering maximization of battery life. The sensor module embedding both a tri-axial acceleration sensor and an RF transmission module is worn at the right side of one's waistband. It connects and transfers sensing data to subject's PDA phone. Then, an algorithm on the PDA phone accumulates the data and classifies them as an activity. We utilize 3 tilts in addition to 3 acceleration values, compared to previous works. However, we reduce the sampling rate of the sensing data for saving battery life. As an activity classifier, the SVM (Support Vector Machine) algorithm is used, and we have achieved 96% of accuracy in detecting an activity out of 9. It shows the proposed method can save the battery life without losing the recognition accuracy compared to related works. © 2008 Springer-Verlag Berlin Heidelberg.
KSP 제안 키워드
Acceleration Sensor, Activity Recognition, RF transmission, Recognition Accuracy, Recognition System, Sampling rate, Sensing data, Sensor module, Support VectorMachine(SVM), Tri-axial acceleration, Triaxial accelerometer