QUT ePrints

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.

View at publisher

Abstract

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.

Impact and interest:

1 citations in Scopus
Search Google Scholar™

Citation countsare sourced monthly from Scopus and Web of Science® citation databases.

These databases contain citations from different subsets of available publications and different time periods and thus the citation count from each is usually different. Some works are not in either database and no count is displayed. Scopus includes citations from articles published in 1996 onwards, and Web of Science® generally from 1980 onwards.

Citations counts from the Google Scholar™ indexing service can be viewed at the linked Google Scholar™ search.

ID Code: 46737
Item Type: Conference Paper
Keywords: activity classification, accelerometer, mobile computing, ubiquitous computing, context aware
DOI: 10.1145/1738826.1738911
ISBN: 978-1-60558-854-4
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

Export: EndNote | Dublin Core | BibTeX

Repository Staff Only: item control page