Recognition of coupling-paired activities in daily life

Authors:
Hapugahage Thilak Chaminda;Vitaly Klyuev;Keitaro Naruse;Minetada Osano
Affiliations:
The University of Aizu, Aizu-wakamatsu, Fukishima, Japan;The University of Aizu, Aizu-wakamatsu, Fukishima, Japan;The University of Aizu, Aizu-wakamatsu, Fukishima, Japan;The University of Aizu, Aizu-wakamatsu, Fukishima, Japan
Venue:
Proceedings of the 2012 Joint International Conference on Human-Centered Computer Environments
Year:
2012

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Abstract

Recognition of daily activities is one of major focuses in health care systems. But limited number of studies has been done on recognition of complex human activities in daily life. Therefore in this work an attempt has been done to recognize complex human activities in daily life. The activities, which were related with some other activity, were subjected in the study. Further the simultaneous involvement of the both hands of the user to perform the activity was also considered. Therefore subjected activities were called as Coupling-Paired Activities in this paper. An algorithm was designed to monitor the behavior of both hands and recognize the target activities. Designed algorithm was tested and evaluated with several Coupling-Paired Activities in daily life. Proposed approaches could achieve 80% average recognition rate in the experiments.