Robust human activity and sensor location corecognition via sparse signal representation

IEEE Transactions on Biomedical Engineering

Volumn 59, Issue 12 PART2, 2012, Pages 3169-3176

  Xu, Wenyao ^a   Zhang, Mi ^b   Sawchuk, Alexander A ^b   Sarrafzadeh, Majid ^a  

^a UNIVERSITY OF CALIFORNIA   (United States)

^b UNIVERSITY OF SOUTHERN CALIFORNIA   (United States)

Author keywords

Body sensor networks; human activity recognition; inertial sensor; sensor localization; sparse representation

Indexed keywords

ACTIVITY RECOGNITION; CLASSIFICATION ACCURACY; CLASSIFICATION METHODS; HUMAN ACTIVITIES; HUMAN ACTIVITY RECOGNITION; HUMAN BODIES; INDUSTRIAL COMMUNITIES; INERTIAL SENSOR; LOCATION INFORMATION; MOBILE HEALTH MONITORING; ON-BODY; PILOT STUDIES; PRECISION AND RECALL; PRIORI INFORMATION; SENSOR LOCALIZATION; SENSOR LOCATION; SENSOR SIGNALS; SPARSE REPRESENTATION; SPARSE SIGNAL REPRESENTATION; WEARABLE SENSORS; WEARABLE TECHNOLOGY;

BODY SENSOR NETWORKS; INDUSTRIAL RESEARCH;

SENSORS;

ACCURACY; ARTICLE; BEHAVIOR; BODY POSITION; DAILY LIFE ACTIVITY; HUMAN; PILOT STUDY; RECOGNITION; SENSOR; SENSOR LOCATION CORECOGNITION; SIGNAL TRANSDUCTION; TASK PERFORMANCE;

ACCELEROMETRY; ADULT; CLOTHING; HUMAN ACTIVITIES; HUMANS; MALE; MOVEMENT; REMOTE SENSING TECHNOLOGY; SIGNAL PROCESSING, COMPUTER-ASSISTED;

EID: 84868105857     PISSN: 00189294     EISSN: 15582531     Source Type: Journal    
DOI: 10.1109/TBME.2012.2211355     Document Type: Article

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