Multiple density maps information fusion for effectively assessing intensity pattern of lifelogging physical activity

Author:

Qi Jun,Yang Po,Hanneghan Martin,Tang Stephen

Funder

MHA

European Commission FP 7 Programme

Publisher

Elsevier BV

Subject

Artificial Intelligence,Cognitive Neuroscience,Computer Science Applications

Reference41 articles.

1. MHA, [Online], Available: 〈http://www.myhealthavatar.eu/〉, (accessed 10.10.14).

2. Physical activity, exercise, and physical fitness: definitions and distinctions for health-related research;Caspersen;Public Health Rep.,1985

3. Position statement on physical activity and exercise intensity terminology;Norton;J. Sci. Med. Sport,2010

4. A. Vahdatpour, N. Amini, M. Sarrafzadeh, Toward unsupervised activity discovery using multi-dimensional motif detection in time series, in: IJCAI: Proceedings of International Jont Conference on Artifical, 2009, pp. 1261–1266.

5. J. Yang, Toward physical activity diary: motion recognition using simple acceleration features with mobile phones, in: Proceedings of the 1st International Workshop on Interactive Multimedia for Consumer Electronics, 2009, 1–9.

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