Human movement activity classification approaches that use wearable sensors and mobile devices

Proceedings of SPIE - The International Society for Optical Engineering

Volumn 8667, Issue , 2013, Pages

  Kaghyan, Sahak ^a   Sarukhanyan, Hakob ^b   Akopian, David ^c  

^a RUSSIAN ARMENIAN UNIVERSITY   (Armenia)

^b Institute for Informatics and Automation Problems of NAS of Armenia   (United States)

^c UNIVERSITY OF TEXAS AT SAN ANTONIO   (United States)

Author keywords

Human activity classification; Mobile devices; Wearable sensors

Indexed keywords

ACTIVITY CLASSIFICATIONS; ADVANCED APPLICATIONS; DATA MINING APPLICATIONS; HEALTH CARE APPLICATION; HUMAN ACTIVITIES; HUMAN ACTIVITY RECOGNITION; MOBILE PHONE TECHNOLOGY; WEARABLE SENSORS;

CELLULAR TELEPHONES; HEALTH CARE; MOBILE DEVICES; MOBILE PHONES;

SENSORS;

EID: 84878320924     PISSN: 0277786X     EISSN: None     Source Type: Conference Proceeding    
DOI: 10.1117/12.2007868     Document Type: Conference Paper

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