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Inferring Activities from Interactions with Objects
Abstract
A key aspect of pervasive computing is using computers and sensor networks to effectively and unobtrusively infer users' behavior in their environment. This includes inferring which activity users are performing, how they're performing it, and its current stage. Recognizing and recording activities of daily living is a significant problem in elder care. A new paradigm for ADL inferencing leverages radio-frequency-identification technology, data mining, and a probabilistic inference engine to recognize ADLs, based on the objects people use. We propose an approach that addresses these challenges and shows promise in automating some types of ADL monitoring. Our key observation is that the sequence of objects a person uses while performing an ADL robustly characterizes both the ADL's identity and the quality of its execution. So, we have developed Proactive Activity Toolkit (PROACT).
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Cited by
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
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
Design of an RFID-Based Battery-Free Programmable Sensing Platform
Sample, A. P., Yeager, D. J., Powledge, P. S., Mamishev, A. V., & Smith, J. R. (2008) · IEEE Transactions on Instrumentation and Measurement · doi:10.1109/tim.2008.925019 · Cited by 894
Activity recognition on streaming sensor data
Krishnan, N. C., & Cook, D. J. (2014) · Pervasive and Mobile Computing · doi:10.1016/j.pmcj.2012.07.003 · Cited by 488
Metadata
- Authors
- Philipose, M., Fishkin, K. P., Perkowitz, M., Patterson, D. J., Fox, D., Kautz, H., & Hahnel, D.
- Venue
- IEEE Pervasive Computing
- Published
- 2004-10
- Volume
- 3
- Issue
- 4
- Pages
- 50-57
- ISSN
- 1536-1268 (ISSN-L)
- OpenAlex
- W2003637680
- Cited by
- 875
- References
- 0
- FWCI
- 39.40
- Type
- journal article
- Language
- en
- Open access
- closed
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- Philipose, M., Fishkin, K. P., Perkowitz, M., Patterson, D. J., Fox, D., Kautz, H., & Hahnel, D. (2004). Inferring Activities from Interactions with Objects. IEEE Pervasive Computing. https://doi.org/10.1109/mprv.2004.7
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