The DOI matches its Crossref record; 7 of the 7 references it cites were found in a registry or an index.
Activity Recognition and Monitoring Using Multiple Sensors on Different Body Positions
Abstract
The design of an activity recognition and monitoring system based on the eWatch, multi-sensor platform worn on different body positions, is presented in this paper. The system identifies the user's activity in realtime using multiple sensors and records the classification results during a day. We compare multiple time domain feature sets and sampling rates, and analyze the tradeoff between recognition accuracy and computational complexity. The classification accuracy on different body positions used for wearing electronic devices was evaluated
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Cites
Data Mining: Practical Machine Learning Tools and Techniques
(2011) · Elsevier eBooks · doi:10.1016/c2009-0-19715-5 · Cited by 25,437
Activity Recognition from User-Annotated Acceleration Data
Bao, L., & Intille, S. S. (2004) · Lecture Notes in Computer Science · doi:10.1007/978-3-540-24646-6_1 · Cited by 3,147
Supervised and Unsupervised Discretization of Continuous Features
Dougherty, J., Kohavi, R., & Sahami, M. (1995) · Machine Learning Proceedings 1995 · doi:10.1016/b978-1-55860-377-6.50032-3 · Cited by 1,936
Unsupervised, dynamic identification of physiological and activity context in wearable computing
Krause, A., Siewiorek, D. P., Smailagic, A., & Farringdon, J. (2004) · Proceedings · doi:10.1109/iswc.2003.1241398 · Cited by 154
Self-citationeWatch: a wearable sensor and notification platform
Maurer, U., Rowe, A., Smailagic, A., & Siewiorek, D. P. (2006) · Wearable and Implantable Body Sensor Networks · doi:10.1109/bsn.2006.24 · Cited by 146
Self-citationEmpirical Study of Design Choices in Multi-Sensor Context Recognition Systems
Bharatula, N. B., & Stäger, M. (2005) · Cited by 37
Power and Size Optimized Multi-Sensor Context Recognition Platform
Bharatula, N. B., Stäger, M., Lukowicz, P., & Tröster, G. (2005) · Proceedings · doi:10.1109/iswc.2005.42 · Cited by 19
Cited by
Activity recognition using cell phone accelerometers
Kwapisz, J. R., Weiss, G. M., & Moore, S. A. (2011) · ACM SIGKDD Explorations Newsletter · doi:10.1145/1964897.1964918 · Cited by 2,912
A Survey on Human Activity Recognition using Wearable Sensors
Lara, O. D., & Labrador, M. A. (2013) · IEEE Communications Surveys & Tutorials · doi:10.1109/surv.2012.110112.00192 · Cited by 2,662
A tutorial on human activity recognition using body-worn inertial sensors
Bulling, A., Blanke, U., & Schiele, B. (2014) · ACM Computing Surveys · doi:10.1145/2499621 · Cited by 1,668
A survey on ambient-assisted living tools for older adults
Rashidi, P., & Mihailidis, A. (2013) · IEEE Journal of Biomedical and Health Informatics · doi:10.1109/jbhi.2012.2234129 · Cited by 1,128
Ambient intelligence: Technologies, applications, and opportunities
Cook, D. J., Augusto, J. C., & Jakkula, V. R. (2009) · Pervasive and Mobile Computing · doi:10.1016/j.pmcj.2009.04.001 · Cited by 964
Metadata
- Authors
- Maurer, U., Smailagic, A., Siewiorek, D. P., & Deisher, M.
- Venue
- International Workshop on Wearable and Implantable Body Sensor Networks (BSN'06)
- Publisher
- IEEE
- Published
- 2006-04-28
- Pages
- 113-116
- OpenAlex
- W2159613676
- Cited by
- 601
- References
- 7
- FWCI
- 13.57
- Type
- conference paper
- Language
- en
- Open access
- closed
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- Maurer, U., Smailagic, A., Siewiorek, D. P., & Deisher, M. (2006). Activity Recognition and Monitoring Using Multiple Sensors on Different Body Positions. International Workshop on Wearable and Implantable Body Sensor Networks (BSN'06). https://doi.org/10.1109/bsn.2006.6
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