Automated Analysis of Nursing Home Observations
IEEE Pervasive Computing
Detecting social interactions of the elderly in a nursing home environment
ACM Transactions on Multimedia Computing, Communications, and Applications (TOMCCAP)
Extracting spatiotemporal human activity patterns in assisted living using a home sensor network
Proceedings of the 1st international conference on PErvasive Technologies Related to Assistive Environments
Multiview activity recognition in smart homes with spatio-temporal features
Proceedings of the Fourth ACM/IEEE International Conference on Distributed Smart Cameras
Person Reidentification by Kernel PCA Based Appearance Learning
CRV '11 Proceedings of the 2011 Canadian Conference on Computer and Robot Vision
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Social interactions in retirement communities' shared spaces is a key component to preventing social isolation and loneliness among older people. Given the underutilization of these spaces, placing technologies to promote socialization in shared spaces might improve independence and quality of life among older adults. In order to understand socializations in these shared spaces, surveillance systems must be developed to quantify the number and type of interactions in an environment. We hypothesize that social interactions amongst older adults can be detected using multiple cameras and microphones strategically placed in the environment. The purpose of this paper is to describe the development of an automatic behavioral mapping surveillance system designed for monitoring interactions among older adults and technology interventions in retirement communities' shared common areas. Specific emphasis is given to the system designed to monitor the number, length and type of interactions of older adults in the community.