Abstract-- Automatic recognition of activities using time series data collected from exercise can facilitate development of applications that motivate people to exercise more frequ...
Pekka Siirtola, Perttu Laurinen, Eija Haapalainen,...
This paper explores the potential for use of an unaugmented commodity technology—the mobile phone— as a health promotion tool. We describe a prototype application that tracks t...
Ian Anderson, Julie Maitland, Scott Sherwood, Loui...
In this paper, we propose a method for detecting physical shock by a mobile phone and its applications in security and emergency scenarios. We use acceleration signal provided by ...
: Each mobile phone with a built-in CMOS sensor can inherently be seen as sophisticated optical sensor being able to analyze its environment in terms of visual events and its own m...
In this paper, we introduce a compact system for fusing location data with data from simple, low-cost, non-location sensors to infer a user’s place and situational context. Speci...
Evan Welbourne, Jonathan Lester, Anthony LaMarca, ...