The DOI matches its Crossref record; 27 of the 27 references it cites were found in a registry or an index.
A framework of energy efficient mobile sensing for automatic user state recognition
Abstract
Urban sensing, participatory sensing, and user activity recognition can provide rich contextual information for mobile applications such as social networking and location-based services. However, continuously capturing this contextual information on mobile devices consumes huge amount of energy. In this paper, we present a novel design framework for an Energy Efficient Mobile Sensing System (EEMSS). EEMSS uses hierarchical sensor management strategy to recognize user states as well as to detect state transitions. By powering only a minimum set of sensors and using appropriate sensor duty cycles EEMSS significantly improves device battery life. We present the design, implementation, and evaluation of EEMSS that automatically recognizes a set of users' daily activities in real time using sensors on an off-the-shelf high-end smart phone. Evaluation of EEMSS with 10 users over one week shows that our approach increases the device battery life by more than 75% while maintaining both high accuracy and low latency in identifying transitions between end-user activities.
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Cites
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Cited by
A survey of mobile phone sensing
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Harnessing context sensing to develop a mobile intervention for depression
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The Smartphone Psychology Manifesto
Miller, G. (2012) · Perspectives on Psychological Science · doi:10.1177/1745691612441215 · Cited by 624
The Jigsaw continuous sensing engine for mobile phone applications
Lu, H., Yang, J., Liu, Z., Lane, N. D., Choudhury, T., & Campbell, A. T. (2010) · Proceedings of the 8th ACM Conference on Embedded Networked Sensor Systems · doi:10.1145/1869983.1869992 · Cited by 560
A Private and Efficient Mechanism for Data Uploading in Smart Cyber-Physical Systems
Cai, Z., & Zheng, X. (2020) · IEEE Transactions on Network Science and Engineering · doi:10.1109/tnse.2018.2830307 · Cited by 553
Metadata
- Authors
- Wang, Y., Lin, J., Annavaram, M., Jacobson, Q. A., Hong, J., Krishnamachari, B., & Sadeh, N.
- Venue
- Proceedings of the 7th international conference on Mobile systems, applications, and services
- Publisher
- ACM
- Published
- 2009-06-22
- Pages
- 179-192
- OpenAlex
- W2170265372
- Cited by
- 434
- References
- 27
- FWCI
- 35.98
- Type
- conference paper
- Language
- en
- Open access
- closed
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- Wang, Y., Lin, J., Annavaram, M., Jacobson, Q. A., Hong, J., Krishnamachari, B., & Sadeh, N. (2009). A framework of energy efficient mobile sensing for automatic user state recognition. Proceedings of the 7th international conference on Mobile systems, applications, and services. https://doi.org/10.1145/1555816.1555835
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