Activity Recognition in the Home Using Simple and Ubiquitous Sensors
Integrity signals
Registry
Cites
Statistics
Claims the paper makes
Cites
Assessment of Older People: Self-Maintaining and Instrumental Activities of Daily Living
Lawton, M. P., & Brody, E. M. (1969) · The Gerontologist · doi:10.1093/geront/9.3_part_1.179 · Cited by 18,540 · see citing works
Functional limitations to daily living tasks in the aged: a focus group analysis
Rogers, W. A., Meyer, B., Walker, N., & Fisk, A. D. (1998) · Human Factors The Journal of the Human Factors and Ergonomics Society · doi:10.1518/001872098779480613 · Cited by 223 · see citing works
Flagged first, then by citations
Cited by
Sorted by citations
Nahum-Shani, I., Smith, S. N., Spring, B. J., Collins, L. M., Witkiewitz, K., Tewari, A., & Murphy, S. A. (2018) · Annals of Behavioral Medicine · doi:10.1007/s12160-016-9830-8 · Cited by 2,171 · see citing works
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 · see citing works
A review of smart homes—Present state and future challenges
Chan, M., Estève, D., Escriba, C., & Campo, E. (2008) · Computer Methods and Programs in Biomedicine · doi:10.1016/j.cmpb.2008.02.001 · Cited by 1,007 · see citing works
A survey of intrusion detection techniques for cyber-physical systems
Mitchell, R., & Chen, I.-R. (2014) · ACM Computing Surveys · doi:10.1145/2542049 · Cited by 768 · see citing works
Transition-Aware Human Activity Recognition Using Smartphones
Reyes-Ortiz, J.-L., Oneto, L., Samà, A., Parra, X., & Anguita, D. (2016) · Neurocomputing · doi:10.1016/j.neucom.2015.07.085 · Cited by 740 · see citing works
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 · see citing works
Fine-Grained Activity Recognition by Aggregating Abstract Object Usage
Patterson, D. J., Fox, D., Kautz, H., & Philipose, M. (2005) · Ninth IEEE International Symposium on Wearable Computers (ISWC'05) · doi:10.1109/iswc.2005.22 · Cited by 452 · see citing works
Keeping the Resident in the Loop: Adapting the Smart Home to the User
Rashidi, P., & Cook, D. J. (2009) · IEEE Transactions on Systems, Man, and Cybernetics - Part A: Systems and Humans · doi:10.1109/tsmca.2009.2025137 · Cited by 443 · see citing works
A Comparative Study on Human Activity Recognition Using Inertial Sensors in a Smartphone
Wang, A., Chen, G., Yang, J., Zhao, S., & Chang, C.-Y. (2016) · IEEE Sensors Journal · doi:10.1109/jsen.2016.2545708 · Cited by 324 · see citing works
Hardware Design of Smart Home Energy Management System With Dynamic Price Response
Hu, Q., & Li, F. (2013) · IEEE Transactions on Smart Grid · doi:10.1109/tsg.2013.2258181 · Cited by 261 · see citing works
Investigating health management practices of individuals with diabetes
Mamykina, L., Mynatt, E. D., & Kaufman, D. R. (2006) · Proceedings of the SIGCHI Conference on Human Factors in Computing Systems · doi:10.1145/1124772.1124910 · Cited by 175 · see citing works
Toolkit to support intelligibility in context-aware applications
Lim, B. Y., & Dey, A. K. (2010) · Proceedings of the 12th ACM international conference on Ubiquitous computing · doi:10.1145/1864349.1864353 · Cited by 143 · see citing works
Activity recognition using semi-Markov models on real world smart home datasets
van Kasteren, T. L. M., Englebienne, G., & Kröse, B. J. A. (2010) · Journal of Ambient Intelligence and Smart Environments · doi:10.3233/ais-2010-0070 · Cited by 131 · see citing works
Recognizing Human Activity in Free-Living Using Multiple Body-Worn Accelerometers
Fullerton, E., Heller, B., & Munoz-Organero, M. (2017) · IEEE Sensors Journal · doi:10.1109/jsen.2017.2722105 · Cited by 81 · see citing works
Explainable Activity Recognition for Smart Home Systems
Das, D., Nishimura, Y., Vivek, R. P., Takeda, N., Fish, S. T., Plötz, T., & Chernova, S. (2023) · ACM Transactions on Interactive Intelligent Systems · doi:10.1145/3561533 · Cited by 70 · see citing works
Interactive activity recognition and prompting to assist people with cognitive disabilities
Chu, Y., Chol Song, Y., Levinson, R., & Kautz, H. (2012) · Journal of Ambient Intelligence and Smart Environments · doi:10.3233/ais-2012-0168 · Cited by 47 · see citing works
Activity-Aware Energy-Efficient Automation of Smart Buildings
Thomas, B., & Cook, D. (2016) · Energies · doi:10.3390/en9080624 · Cited by 42 · see citing works
Learning models for activity recognition in smart homes
Fahad, L. G., Ali, A., & Rajarajan, M. (2015) · Lecture Notes in Electrical Engineering · doi:10.1007/978-3-662-46578-3_97 · Cited by 16 · see citing works
- Authors
- Tapia, E. M., Intille, S. S., & Larson, K.
- Affiliations
- Massachusetts Institute of Technology (US)
- Venue
- Lecture Notes in Computer Science
- Publisher
- Springer Berlin Heidelberg
- Published
- 2004
- Pages
- 158-175
- ISSN
- 0302-9743 (ISSN-L)
- 1611-3349
- OpenAlex
- W1497385253
- Cited by
- 1,323
- References
- 2
- Citations by year
- 2026: 7 · 2025: 15 · 2024: 18 · 2023: 27 · 2022: 59 · 2021: 40 · 2020: 55 · 2019: 65 · 2018: 82 · 2017: 118 · 2016: 72 · 2015: 104 · 2014: 94 · 2013: 108 · 2012: 91
- FWCI
- 21.68
- Type
- conference paper
- Language
- en
- Open access
- closed
- Locations
- Lecture notes in computer science (publishedVersion)
- Topics
- Physical Sciences › Computer Science › Computer Vision and Pattern Recognition › Context-Aware Activity Recognition Systems
- Physical Sciences › Engineering › Electrical and Electronic Engineering › IoT-based Smart Home Systems
- Physical Sciences › Computer Science › Computer Networks and Communications › Wireless Sensor Networks for Data Analysis
- Keywords
- activity recognition, home monitoring, ubiquitous sensing, non-invasive sensing, elderly care
About these checks
Registry, retraction, Cites and statistics results are computed, not judged, with one exception: a printed reference that no index lists is read once by a model before it counts as a citation error. Claims are extracted by a model and kept only when their quote appears verbatim in the text; each cited source is then checked, with a model’s help, for whether it says what the claim relies on. Those verdicts can be wrong — read the claim’s quote and the cited source before relying on one.
Statistics and arithmetic are recomputed, not judged.
Confidence bands are shown only for fields calibrated on our annotated test set. None is calibrated yet, so no band is shown.
What counts as a claim ›How we measure confidence ›How we check this ›
Are you an author, or do you see a problem with this page? Request a review