Smart devices are different: Assessing and mitigating mobile sensing heterogeneities for activity recognition

SenSys 2015 - Proceedings of the 13th ACM Conference on Embedded Networked Sensor Systems

Volumn , Issue , 2015, Pages 127-140

  Stisen, Allan ^a   Blunck, Henrik ^a   Bhattacharya, Sourav ^b   Prentow, Thor Siiger ^a   Kjærgaard, Mikkel Baun ^a   Dey, Anind ^c   Sonne, Tobias ^a   Jensen, Mads Møller ^a  

^a AARHUS UNIVERSITY   (Denmark)

^b LUCENT TECHNOLOGIES   (United States)

^c CARNEGIE MELLON UNIVERSITY   (United States)

Author keywords

Activity recognition; Mobile sensing

Indexed keywords

EMBEDDED SYSTEMS; MOBILE DEVICES; MOBILE TELECOMMUNICATION SYSTEMS;

ACTIVITY RECOGNITION; CLASSIFICATION TECHNIQUE; FEATURE REPRESENTATION; HUMAN ACTIVITY RECOGNITION; LARGE-SCALE DEPLOYMENT; MOBILE SENSING; PERSONAL MOBILE DEVICES; SYSTEM CHARACTERISTICS;

PATTERN RECOGNITION;

EID: 84962920836     PISSN: None     EISSN: None     Source Type: Conference Proceeding    
DOI: 10.1145/2809695.2809718     Document Type: Conference Paper

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