GeSmart: A gestural activity recognition model for predicting behavioral health

Proceedings of 2014 International Conference on Smart Computing, SMARTCOMP 2014

Volumn , Issue , 2014, Pages 193-200

  Alam, Mohammad Arif Ul ^a   Roy, Nirmalya ^a  

^a Baltimore County   (United States)

Author keywords

behavioral health; change point detection; cognitive computing; energy efficiency; smart jewelry

Indexed keywords

ACCELEROMETERS; GASES; GESTURE RECOGNITION; PATTERN RECOGNITION; SPEECH RECOGNITION; WEARABLE SENSORS; WEARABLE TECHNOLOGY;

ACTIVITIES OF DAILY LIVING; ACTIVITIES OF DAILY LIVING (ADLS); BEHAVIORAL HEALTH; CHANGE POINT DETECTION; CLASSIFICATION ALGORITHM; COGNITIVE COMPUTING; ENERGY EFFICIENT OPERATIONS; SMART JEWELRY;

ENERGY EFFICIENCY;

EID: 84946530979     PISSN: None     EISSN: None     Source Type: Conference Proceeding    
DOI: 10.1109/SMARTCOMP.2014.7043858     Document Type: Conference Paper

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