Layered representations for learning and inferring office activity from multiple sensory channels
Integrity signals
Registry
Cites
Statistics
Claims the paper makes
Cited by
Sorted by citations
Social signal processing: Survey of an emerging domain
Vinciarelli, A., Pantic, M., & Bourlard, H. (2009) · Image and Vision Computing · doi:10.1016/j.imavis.2008.11.007 · Cited by 842 · 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
de Lusignan, S., Kumarapeli, P., Chan, T., Pflug, B., van Vlymen, J., Jones, B., & Freeman, G. K. (2008) · Journal of Medical Internet Research · doi:10.2196/jmir.1080 · Cited by 24 · see citing works
- Authors
- Oliver, N., Garg, A., & Horvitz, E.
- Affiliations
- Microsoft (United States) (US)
- University of Illinois Urbana-Champaign (US)
- Corresponding author
- Oliver, Nuria
- Venue
- Computer Vision and Image Understanding
- Publisher
- Elsevier BV
- Published
- 2004-11
- Volume
- 96
- Issue
- 2
- Pages
- 163-180
- ISSN
- 1077-3142 (ISSN-L)
- OpenAlex
- W2146136606
- Cited by
- 316
- References
- 0
- Citations by year
- 2026: 2 · 2024: 2 · 2023: 3 · 2022: 2 · 2021: 8 · 2020: 10 · 2019: 6 · 2018: 6 · 2017: 18 · 2016: 15 · 2015: 11 · 2014: 18 · 2013: 10 · 2012: 23
- FWCI
- 22.27
- Type
- journal article
- Language
- en
- Open access
- closed
- Locations
- Computer Vision and Image Understanding (publishedVersion)
- Topics
- Physical Sciences › Computer Science › Computer Vision and Pattern Recognition › Context-Aware Activity Recognition Systems
- Physical Sciences › Computer Science › Computer Vision and Pattern Recognition › Human Pose and Action Recognition
- Physical Sciences › Computer Science › Computer Vision and Pattern Recognition › Video Surveillance and Tracking Methods
- Keywords
- multi-sensor fusion, misclassification cost, real-time sensing, temporal granularity, human activity modeling
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 ›
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