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SIGKDD
2010
259views more  SIGKDD 2010»
13 years 10 days ago
Activity recognition using cell phone accelerometers
Mobile devices are becoming increasingly sophisticated and the latest generation of smart cell phones now incorporates many diverse and powerful sensors. These sensors include GPS...
Jennifer R. Kwapisz, Gary M. Weiss, Samuel Moore
CVPR
2005
IEEE
14 years 7 months ago
Activity Recognition and Abnormality Detection with the Switching Hidden Semi-Markov Model
This paper addresses the problem of learning and recognizing human activities of daily living (ADL), which is an important research issue in building a pervasive and smart environ...
Thi V. Duong, Hung Hai Bui, Dinh Q. Phung, Svetha ...
DEBU
2006
163views more  DEBU 2006»
13 years 5 months ago
Towards Activity Databases: Using Sensors and Statistical Models to Summarize People's Lives
Automated reasoning about human behavior is a central goal of artificial intelligence. In order to engage and intervene in a meaningful way, an intelligent system must be able to ...
Tanzeem Choudhury, Matthai Philipose, Danny Wyatt,...
RTAS
2011
IEEE
12 years 9 months ago
ARCH: Practical Channel Hopping for Reliable Home-Area Sensor Networks
Abstract—Home area networks (HANs) promise to enable sophisticated home automation applications such as smart energy usage and assisted living. However, recent empirical study of...
Mo Sha, Gregory Hackmann, Chenyang Lu
DAGSTUHL
2007
13 years 7 months ago
Integrated Human Behavior Modeling
In order to prevent emergencies or critical situations where humans are the origin, a timely provision of information thus obtained for the coordinating services and the on-site st...
Michael Berger, Dagmar Beyer, Stephan Prueckner