Activity Recognition and Monitoring Using Multiple Sensors on Different Body Positions
BSN '06 Proceedings of the International Workshop on Wearable and Implantable Body Sensor Networks
NEAT-o-games: ubiquitous activity-based gaming
CHI '07 Extended Abstracts on Human Factors in Computing Systems
Activity sensing in the wild: a field trial of ubifit garden
Proceedings of the SIGCHI Conference on Human Factors in Computing Systems
NEAT-o-Games: blending physical activity and fun in the daily routine
Computers in Entertainment (CIE) - Theoretical and Practical Computer Applications in Entertainment
A practical approach to recognizing physical activities
PERVASIVE'06 Proceedings of the 4th international conference on Pervasive Computing
Embedding behavior modification strategies into a consumer electronic device: a case study
UbiComp'06 Proceedings of the 8th international conference on Ubiquitous Computing
iPhone as a physical activity measurement platform
CHI '10 Extended Abstracts on Human Factors in Computing Systems
A novel way to conduct human studies and do some good
CHI '10 Extended Abstracts on Human Factors in Computing Systems
Keep on moving! activity monitoring and stimulation using wireless sensor networks
EuroSSC'09 Proceedings of the 4th European conference on Smart sensing and context
| Hi-index | 0.00 |
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.