Sensing from the basement: A feasibility study of unobtrusive and low-cost home activity recognition

UIST: Proceedings of the Annual ACM Symposium on User Interface Softaware and Technology

Volumn , Issue , 2006, Pages 91-100

  Fogarty, James ^a   Au, Carolyn ^b,c   Hudson, Scott E ^b  

^a UNIVERSITY OF WASHINGTON   (United States)

^b Carnegie Mellon University   (United States)

^c GOOGLE INC   (United States)

Author keywords

Activity recognition; Sensing in the home; Sensor based models

Indexed keywords

ACTIVITY RECOGNITION; LOW-COST SENSORS; SENSOR-BASED MODELS;

COMPUTER SCIENCE; INFORMATION TECHNOLOGY; MATHEMATICAL MODELS; MICROPHONES; PATTERN RECOGNITION;

SENSOR NETWORKS;

EID: 34547363673     PISSN: None     EISSN: None     Source Type: Conference Proceeding    
DOI: 10.1145/1166253.1166269     Document Type: Conference Paper

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