Simple classification of walking activities using commodity smart phones
Fitz-Walter, Zachary & Tjondronegoro, Dian W. (2010) Simple classification of walking activities using commodity smart phones. In OZCHI '09 Proceedings of the 21st Annual Conference of the Australian Computer-Human Interaction Special Interest Group: Design: Open 24/7, ACM, The University of Melbourne, Melbourne, pp. 409-412.
People interact with mobile computing devices everywhere, while sitting, walking, running or even driving. Adapting the interface to suit these contexts is important, thus this paper proposes a simple human activity classification system. Our approach uses a vector magnitude recognition technique to detect and classify when a person is stationary (or not walking), casually walking, or jogging, without any prior training. The user study has confirmed the accuracy.
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|Item Type:||Conference Paper|
|Keywords:||activity classification, accelerometer, mobile computing, ubiquitous computing, context aware|
|Subjects:||Australian and New Zealand Standard Research Classification > INFORMATION AND COMPUTING SCIENCES (080000) > INFORMATION SYSTEMS (080600)|
Australian and New Zealand Standard Research Classification > INFORMATION AND COMPUTING SCIENCES (080000) > INFORMATION SYSTEMS (080600) > Computer-Human Interaction (080602)
|Divisions:||Past > QUT Faculties & Divisions > Faculty of Science and Technology|
Past > Schools > Information Systems
|Copyright Owner:||Copyright ACM 2010|
|Deposited On:||01 Nov 2011 13:29|
|Last Modified:||01 Nov 2011 14:20|
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