Lifestyle applications from sleep research
Journal of Ambient Intelligence and Humanized Computing, ISSN: 1868-5145, Vol: 5, Issue: 6, Page: 829-842
2014
- 1Citations
- 8Captures
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Example: if you select the 1-year option for an article published in 2019 and a metric category shows 90%, that means that the article or review is performing better than 90% of the other articles/reviews published in that journal in 2019. If you select the 3-year option for the same article published in 2019 and the metric category shows 90%, that means that the article or review is performing better than 90% of the other articles/reviews published in that journal in 2019, 2018 and 2017.
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Example: if you select the 1-year option for an article published in 2019 and a metric category shows 90%, that means that the article or review is performing better than 90% of the other articles/reviews published in that journal in 2019. If you select the 3-year option for the same article published in 2019 and the metric category shows 90%, that means that the article or review is performing better than 90% of the other articles/reviews published in that journal in 2019, 2018 and 2017.
Citation Benchmarking is provided by Scopus and SciVal and is different from the metrics context provided by PlumX Metrics.
Metrics Details
- Citations1
- Patent Family Citations1
- Patent Families1
- Captures8
- Readers8
Article Description
Most of the research performed in the area of movement analysis of sleeping subjects has been targeted at sleep stage classification or monitoring of sleep disorders. In this paper, we present an innovative approach and show how movement analysis of sleeping subjects can be used to enable new lifestyle related applications. The first application we propose shows how a sleeping subject’s movement pattern can be used to build an intelligent wake-up light system. The second application targets an intelligent baby monitor that informs parents about changes of their baby’s pose in its sleep. For the two proposed systems, we present design considerations and initial results showing the potential of camera-based movement analysis in sleep related applications outside the common interest.
Bibliographic Details
http://www.scopus.com/inward/record.url?partnerID=HzOxMe3b&scp=84926681555&origin=inward; http://dx.doi.org/10.1007/s12652-014-0233-z; http://link.springer.com/10.1007/s12652-014-0233-z; http://link.springer.com/content/pdf/10.1007/s12652-014-0233-z; http://link.springer.com/content/pdf/10.1007/s12652-014-0233-z.pdf; http://link.springer.com/article/10.1007/s12652-014-0233-z/fulltext.html; https://dx.doi.org/10.1007/s12652-014-0233-z; https://link.springer.com/article/10.1007/s12652-014-0233-z
Springer Science and Business Media LLC
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