Abstract
As our society is increasingly aging, it is urgent to develop computer aided techniques to improve the quality-of-care (QoC) and quality-of-life (QoL) of geriatric patients. In this paper, we focus on automatic human activities analysis in video surveillance recorded in complicated environments at a nursing home. This will enable the automatic exploration of the statistical patterns between patients’ daily activities and their clinical diagnosis. We also discuss potential future research directions in this area. Experiment demonstrate the proposed approach is effective for human activity analysis.
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Acknowledgements
This material is based upon the work supported in part by the National Institutes of Health (NIH) Grant No. 1RC1MH090021-0110, and in part by the National Science Foundation under Grants IIS-0812465 and CNS-0751185. Any opinions, findings, and conclusions or recommendations expressed in this material are those of the author(s) and do not necessarily reflect the views of the National Institutes of Health and National Science Foundation.
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Chen, MY., Hauptmann, A., Bharucha, A., Wactlar, H., Yang, Y. (2013). Human Activity Analysis for Geriatric Care in Nursing Homes. In: The Era of Interactive Media. Springer, New York, NY. https://doi.org/10.1007/978-1-4614-3501-3_5
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DOI: https://doi.org/10.1007/978-1-4614-3501-3_5
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