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» Activity recognition using cell phone accelerometers
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CIDM
2009
IEEE
13 years 9 months ago
Clustering-based activity classification with a wrist-worn accelerometer using basic features
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,...
MONET
2007
106views more  MONET 2007»
13 years 4 months ago
Shakra: Tracking and Sharing Daily Activity Levels with Unaugmented Mobile Phones
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...
MHCI
2009
Springer
13 years 12 months ago
Detecting physical shock by a mobile phone and its applications in security and emergency
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 ...
Hamed Ketabdar
GI
2009
Springer
13 years 10 months ago
Activity Recognition using Optical Sensors on Mobile Phones
: 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...
Michael Wittke, Uwe Jänen, Aret Duraslan, Emr...
LOCA
2005
Springer
13 years 10 months ago
Mobile Context Inference Using Low-Cost Sensors
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, ...