| Making sense of accelerometer measurements in pervasive physical activity applications |
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Conference on Human Factors in Computing Systems
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Proceedings of the 27th international conference extended abstracts on Human factors in computing systems
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Boston, MA, USA
SESSION: Student research competition
table of contents
Pages 3425-3430
Year of Publication: 2009
ISBN:978-1-60558-247-4
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Downloads (6 Weeks): 37, Downloads (12 Months): 160, Citation Count: 0
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ABSTRACT
In the last few years, accelerometer-based entertainment and health applications have been receiving increased attention in the research and commercial worlds. The effect of accelerometer placement on different parts of the body, despite its apparent significance, received little consideration. This paper documents through experimentation the different characteristics of accelerometer output on the waist, arm, wrist, thigh, and ankle in the context of translational body motion (walk). Furthermore, it offers experimental formulas that transform peripheral body measurements to more reliable, center body (i.e., waist) measurements, and these in turn to caloric measurements, which are the standard physical activity units. The importance of these results on the design of ubiquitous health applications and the ensuing user experiences cannot be underestimated. The paper's methodology can be used in further studies in other physical activity contexts, where more elaborate body motion patterns are involved.
REFERENCES
Note: OCR errors may be found in this Reference List extracted from the full text article. ACM has opted to expose the complete List rather than only correct and linked references.
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Antonnson, E.K., Mann, R.W. The frequency content of gait. Journal of biomechanics, 18(1985), 39-47.
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Bouten, C.V., Koekkoek, K.T.M., Verduin, M., Kodde, R., Janssen, J.D. A triaxial accelerometer and portable data processing unit for the assessment of daily physical activity. IEEE Transactions on Biomedical Engineering 44, 3 (1997), 136--147.
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Sunny Consolvo , David W. McDonald , Tammy Toscos , Mike Y. Chen , Jon Froehlich , Beverly Harrison , Predrag Klasnja , Anthony LaMarca , Louis LeGrand , Ryan Libby , Ian Smith , James A. Landay, Activity sensing in the wild: a field trial of ubifit garden, Proceeding of the twenty-sixth annual SIGCHI conference on Human factors in computing systems, April 05-10, 2008, Florence, Italy
[doi> 10.1145/1357054.1357335]
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Yuichi Fujiki , Konstantinos Kazakos , Colin Puri , Ioannis Pavlidis , Justin Starren , James Levine, NEAT-o-games: ubiquitous activity-based gaming, CHI '07 extended abstracts on Human factors in computing systems, April 28-May 03, 2007, San Jose, CA, USA
[doi> 10.1145/1240866.1241009]
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Jequier, E., Acheson, K., Schutz, Y. Assessment of energy expenditure and fuel utilization in man. Annual Review of Nutrition 7 (1987), 187--208.
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Lester J., Choudhury T., Borriello G., A practical approach to recognizing physical activities. Lecture Notes in Computer Science, 3968 (2006) 1--16, Springer-Verlag 2006.
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Nawyn, J., Intille,S.S., Larson, K. Embedding behavior modification strategies into a consumer electronics device: a case study. In Proc. UbiComp 2006 , Springer-Verlag, 2006.
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