TY - GEN
T1 - ActDetector
T2 - 14th IEEE International Conference on Mobile Ad Hoc and Sensor Systems, MASS 2017
AU - Sun, Xiao
AU - Qiu, Li
AU - Wu, Yibo
AU - Cao, Guohong
N1 - Publisher Copyright:
© 2017 IEEE.
PY - 2017/11/14
Y1 - 2017/11/14
N2 - Detecting daily activities is helpful for health care and clinical medicine. In this paper, we present ActDetector, a smartwatch based application which detects 8 common daily activities, including sitting, walking, running, going upstairs, going downstairs, eating, driving and sitting in a vehicle. By leveraging the built-in sensors on smartwatch, a multi-level classification system is proposed which considers both detection accuracy and energy efficiency. ActDetector is designed to work unobtrusively, no matter on which wrist the smartwatch is worn. We have implemented ActDetector on Sony Smartwatch 3 and evaluated its performance in real experiments involving 12 users. Experimental results show that ActDetector is energy efficient and can detect the daily activities with high accuracy.
AB - Detecting daily activities is helpful for health care and clinical medicine. In this paper, we present ActDetector, a smartwatch based application which detects 8 common daily activities, including sitting, walking, running, going upstairs, going downstairs, eating, driving and sitting in a vehicle. By leveraging the built-in sensors on smartwatch, a multi-level classification system is proposed which considers both detection accuracy and energy efficiency. ActDetector is designed to work unobtrusively, no matter on which wrist the smartwatch is worn. We have implemented ActDetector on Sony Smartwatch 3 and evaluated its performance in real experiments involving 12 users. Experimental results show that ActDetector is energy efficient and can detect the daily activities with high accuracy.
UR - http://www.scopus.com/inward/record.url?scp=85040574064&partnerID=8YFLogxK
UR - http://www.scopus.com/inward/citedby.url?scp=85040574064&partnerID=8YFLogxK
U2 - 10.1109/MASS.2017.35
DO - 10.1109/MASS.2017.35
M3 - Conference contribution
AN - SCOPUS:85040574064
T3 - Proceedings - 14th IEEE International Conference on Mobile Ad Hoc and Sensor Systems, MASS 2017
SP - 1
EP - 9
BT - Proceedings - 14th IEEE International Conference on Mobile Ad Hoc and Sensor Systems, MASS 2017
PB - Institute of Electrical and Electronics Engineers Inc.
Y2 - 22 October 2017 through 25 October 2017
ER -
