The DOI matches its Crossref record; 13 of the 13 references it cites were found in a registry or an index.
Assessing the Quality of Activities in a Smart Environment
Open accessAbstract
Summary: Objectives: Pervasive computing technology can provide valuable health monitoring and assistance technology to help individuals live independent lives in their own homes. As a critical part of this technology, our objective is to design software algorithms that recognize and assess the consistency of activities of daily living that individuals perform in their own homes. Methods: We have designed algorithms that automatically learn Markov models for each class of activity. These models are used to recognize activities that are performed in a smart home and to identify errors and inconsistencies in the performed activity. Results: We validate our approach using data collected from 60 volunteers who performed a series of activities in our smart apartment testbed. The results indicate that the algorithms correctly label the activities and successfully assess the completeness and consistency of the performed task. Conclusions: Our results indicate that activity recognition and assessment can be automated using machine learning algorithms and smart home technology. These algorithms will be useful for automating remote health monitoring and interventions.
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Cites
What's In A Name? Malay Seals As Onomastic Sources
Library, T. B., & Gallop, A. T. (2018) · Malay Literature · doi:10.37052/ml.31(1)no1 · Cited by 1,483
Inferring Activities from Interactions with Objects
Philipose, M., Fishkin, K. P., Perkowitz, M., Patterson, D. J., Fox, D., Kautz, H., & Hahnel, D. (2004) · IEEE Pervasive Computing · doi:10.1109/mprv.2004.7 · Cited by 875
Activity Recognition and Monitoring Using Multiple Sensors on Different Body Positions
Maurer, U., Smailagic, A., Siewiorek, D. P., & Deisher, M. (2006) · International Workshop on Wearable and Implantable Body Sensor Networks (BSN'06) · doi:10.1109/bsn.2006.6 · Cited by 601
Smart Environments: Technology, Protocols and Applications
(2004) · Cited by 472
Location-based activity recognition using relational Markov networks
Liao, L., Fox, D., & Kautz, H. (2005) · Cited by 310
Doctor, F., Hagras, H., & Callaghan, V. (2005) · IEEE Transactions on Systems, Man, and Cybernetics - Part A: Systems and Humans · doi:10.1109/tsmca.2004.838488 · Cited by 274
Schmitter-Edgecombe, M., Woo, E., & Greeley, D. R. (2009) · Neuropsychology · doi:10.1037/a0014186 · Cited by 237
Self-citationActivity Recognition for the Smart Hospital
Sanchez, D., Tentori, M., & Favela, J. (2008) · IEEE Intelligent Systems · doi:10.1109/mis.2008.18 · Cited by 217
Wadley, V. G., Okonkwo, O., Crowe, M., & Ross-Meadows, L. A. (2008) · The American Journal of Geriatric Psychiatry · doi:10.1097/01.jgp.0000310780.04465.13 · Cited by 187
The Alzheimer's Disease Activities of Daily Living International Scale (ADL-ISY)
Reisberg, ., Finkel, S. I., Overall, J. E., Schmidt-Gollas, N., Kanowski, S., Lehfeld, H., HULLA, F. W., Sclan, S. G., Wilms, H.-U., Heininger, K., et al. (2001) · International Psychogeriatrics · doi:10.1017/s1041610201007566 · Cited by 155
Cited by
A Survey of Deep Active Learning
Ren, P., Xiao, Y., Chang, X., Huang, P.-Y., Li, Z., Gupta, B. B., Chen, X., & Wang, X. (2022) · ACM Computing Surveys · doi:10.1145/3472291 · Cited by 1,169
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
Self-citationAmbient 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
Self-citationThe smart thermostat: using occupancy sensors to save energy in homes
Lu, J., Sookoor, T., Srinivasan, V., Gao, G., Holben, B., Stankovic, J., Field, E., & Whitehouse, K. (2010) · Proceedings of the 8th ACM Conference on Embedded Networked Sensor Systems · doi:10.1145/1869983.1870005 · Cited by 502
Discovering Activities to Recognize and Track in a Smart Environment
Rashidi, P., Cook, D. J., Holder, L. B., & Schmitter-Edgecombe, M. (2011) · IEEE Transactions on Knowledge and Data Engineering · doi:10.1109/tkde.2010.148 · Cited by 462
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Metadata
- Authors
- Schmitter-Edgecombe, M., & Cook, D. J.
- Venue
- Methods of Information in Medicine
- Publisher
- Georg Thieme Verlag KG
- Published
- 2009
- Volume
- 48
- Issue
- 05
- Pages
- 480-485
- ISSN
- 0026-1270 (ISSN-L)
- 2511-705X
- OpenAlex
- W1989804777
- Cited by
- 403
- References
- 13
- FWCI
- 19.06
- Type
- journal article
- Language
- en
- Open access
- green
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