mSelf: Using Mobile Sensors to Self-monitor and Improve Health, Wellness, and Performance
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Abstract
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References
[1]
E. Ertin, et. al. "AutoSense: Unobtrusively Wearable Sensor Suite for Inferencing of Onset, Causality, and Consequences of Stress in the Field," ACM SenSys, pp. 274--287, 2011.
[2]
MD2K Center of Excellence: https://md2k.org/.
[3]
N. Saleheen, et. al., "mSieve: Differential Behavioral Privacy in Time Series of Mobile Sensor Data," ACM UbiComp, pp. 706--717, 2016.
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Association for Computing Machinery
New York, NY, United States
Publication History
Published: 19 June 2017
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- Invited-talk
Funding Sources
- National Institute on Drug Abuse
- National Institute on Dental and Craniofacial Research
- National Institute on Minority Health and Health Disparities
- National Science Foundation
- National Institute of Biomedical Imaging and Bioengineering
- NIDA Clinical Trials Network
- National Cancer Institute
Conference
MobiSys'17
Sponsor:
MobiSys'17: The 15th Annual International Conference on Mobile Systems, Applications, and Services
June 19, 2017
New York, Niagara Falls, USA
Acceptance Rates
WearSys '17 Paper Acceptance Rate 9 of 9 submissions, 100%;
Overall Acceptance Rate 28 of 36 submissions, 78%
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