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» Goal-directed human activity computing
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CHI
2009
ACM
16 years 4 months ago
Tactile motion instructions for physical activities
While learning new motor skills, we often rely on feedback from a trainer. Auditive feedback and demonstrations are used most frequently, but in many domains they are inappropriat...
Daniel Spelmezan, Mareike Jacobs, Anke Hilgers, Ja...
HUC
2010
Springer
15 years 4 months ago
WATTR: a method for self-powered wireless sensing of water activity in the home
We present WATTR, a novel self-powered water activity sensor that utilizes residential water pressure impulses as both a powering and sensing source. Consisting of a power harvest...
Tim Campbell, Eric Larson, Gabe Cohn, Ramses Alcai...
CHI
2007
ACM
16 years 4 months ago
Recent shortcuts: using recent interactions to support shared activities
We present an empirical study of teams that revealed the amount of extraneous individual work needed to enable collaboration: finding references to other people, finding files to ...
John C. Tang, James Lin, Jeffrey Pierce, Steve Whi...
144
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PERCOM
2007
ACM
16 years 3 months ago
Structural Learning of Activities from Sparse Datasets
Abstract. A major challenge in pervasive computing is to learn activity patterns, such as bathing and cleaning from sensor data. Typical sensor deployments generate sparse datasets...
Fahd Albinali, Nigel Davies, Adrian Friday
RTCSA
2007
IEEE
15 years 10 months ago
Activity Recognition Based on Semi-supervised Learning
Activity recognition is a hot topic in context-aware computing. In activity recognition, machine learning techniques have been widely applied to learn the activity models from lab...
Donghai Guan, Weiwei Yuan, Young-Koo Lee, Andrey G...