Cited By
View all- Edgcomb AVahid FLuo GLiu JYang C(2012)MNFLProceedings of the 2nd ACM SIGHIT International Health Informatics Symposium10.1145/2110363.2110387(191-200)Online publication date: 28-Jan-2012
Assistive monitoring analyzes data from sensors and cameras to detect situations of interest, and notifies appropriate persons in response. Customization of assistive technology by end-users is necessary for technology adoption and retention. We ...
A privacy-enhanced video obscures the appearance of a person in the video. We consider four privacy enhancements: person blurred, person silhouetted, person covered with a bounding-oval, and person covered by a bounding-box. We demonstrate that privacy-...
Automated monitoring algorithms operating on live video streamed from a home can effectively aid in several assistive monitoring goals, such as detecting falls or estimating daily energy expenditure. Use of video raises obvious privacy concerns. Several ...
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