The DOI matches its Crossref record.
The Mobile Sensing Platform: An Embedded Activity Recognition System
Abstract
Activity-aware systems have inspired novel user interfaces and new applications in smart environments, surveillance, emergency response, and military missions. Systems that recognize human activities from body-worn sensors can further open the door to a world of healthcare applications, such as fitness monitoring, eldercare support, long-term preventive and chronic care, and cognitive assistance. Wearable systems have the advantage of being with the user continuously. So, for example, a fitness application could use real-time activity information to encourage users to perform opportunistic activities. Furthermore, the general public is more likely to accept such activity recognition systems because they are usually easy to turn off or remove.
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Citations
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 survey of mobile phone sensing
Lane, N., Miluzzo, E., Lu, H., Peebles, D., Choudhury, T., & Campbell, A. (2010) · IEEE Communications Magazine · doi:10.1109/mcom.2010.5560598 · Cited by 2,292
Self-citationWang, R., Chen, F., Chen, Z., Li, T., Harari, G., Tignor, S., Zhou, X., Ben-Zeev, D., & Campbell, A. T. (2014) · Proceedings of the 2014 ACM International Joint Conference on Pervasive and Ubiquitous Computing · doi:10.1145/2632048.2632054 · Cited by 1,116
Sensor-Based Activity Recognition
Chen, L., Hoey, J., Nugent, C. D., Cook, D. J., & Yu, Z. (2012) · IEEE Transactions on Systems, Man, and Cybernetics, Part C (Applications and Reviews) · doi:10.1109/tsmcc.2012.2198883 · Cited by 1,074
Metadata
- Authors
- Choudhury, T., Borriello, G., Consolvo, S., Haehnel, D., Harrison, B., Hemingway, B., Hightower, J., Klasnja, P. "., Koscher, K., LaMarca, A., Landay, J. A., LeGrand, L., Lester, J., Rahimi, A., Rea, A., & Wyatt, D.
- Venue
- IEEE Pervasive Computing
- Published
- 2008-04
- Volume
- 7
- Issue
- 2
- Pages
- 32-41
- ISSN
- 1536-1268 (ISSN-L)
- 1558-2590
- OpenAlex
- W2103151433
- Cited by
- 598
- References
- 0
- FWCI
- 61.09
- Type
- journal article
- Language
- en
- Open access
- closed
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- The paper
- Choudhury, T., Borriello, G., Consolvo, S., Haehnel, D., Harrison, B., Hemingway, B., Hightower, J., Klasnja, P. "., Koscher, K., LaMarca, A., Landay, J. A., LeGrand, L., Lester, J., Rahimi, A., Rea, A., & Wyatt, D. (2008). The Mobile Sensing Platform: An Embedded Activity Recognition System. IEEE Pervasive Computing. https://doi.org/10.1109/mprv.2008.39
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