A framework of energy efficient mobile sensing for automatic user state recognition

MobiSys'09 - Proceedings of the 7th ACM International Conference on Mobile Systems, Applications, and Services

Volumn , Issue , 2009, Pages 179-192

  Wang, Yi ^a   Lin, Jialiu ^b   Annavaram, Murali ^a   Jacobson, Quinn A ^c   Hong, Jason ^b   Krishnamachari, Bhaskar ^a   Sadeh, Norman ^b  

^a University of Southern California ^*  (United States)

^b Carnegie Mellon University   (United States)

^c NOKIA RESEARCH CENTER   (United States)

Author keywords

EEMSS; Energy efficiency; Human state recognition; Mobile sensing

Indexed keywords

BATTERY LIFE; CONTEXTUAL INFORMATION; DAILY ACTIVITY; DUTY CYCLES; END USERS; ENERGY EFFICIENT; HUMAN STATE RECOGNITION; LOCATION-BASED SERVICES; LOW LATENCY; MOBILE APPLICATIONS; MOBILE SENSING; NOVEL DESIGN; REAL TIME; SENSOR MANAGEMENT; SMART PHONES; SOCIAL NETWORKING; STATE RECOGNITION; STATE TRANSITIONS; URBAN SENSING; USER ACTIVITY;

BEHAVIORAL RESEARCH; ENERGY EFFICIENCY; MOBILE DEVICES; SENSORS; STATE ESTIMATION;

WIRELESS NETWORKS;

EID: 70450253226     PISSN: None     EISSN: None     Source Type: Conference Proceeding    
DOI: 10.1145/1555816.1555835     Document Type: Conference Paper

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