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...
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...
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...
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...
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...