Adult webcams through kinect

Identifying and assessing problems while they are still small can provide a window of opportunity for interventions that will alleviate the problem areas before they become catastrophic.

Researchers at the University of Missouri have established an interdisciplinary team dedicated to developing and evaluating technology to keep older adults functioning at high levels and living independently.

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We leverage ongoing research at a unique local eldercare facility (Tiger Place) to study active sensing and fusion using vision and acoustic sensors for the continuous assessment of a resident’s risk of falling as well as the reliable detection of falls in the home environment. v=TFB7YOUm Hho Banerjee T, Keller JM, Popescu M & Skubic M, “Recognizing Complex Instrumental Activities of Daily Living Using Scene Information and Fuzzy Logic,” Computer Vision and Image Understanding, 2015, 1-82.

The project investigates the interplay between fall detection and fall risk assessment. Stone E & Skubic M, “Fall Detection in Homes of Older Adults Using the Microsoft Kinect,” IEEE Journal of Biomedical and Health Informatics, 2015, 19(1):290-301.

The idea is that we have a very robust & safe robot that will operate 24/7 in all weather conditions (except Scandinavian winter).

It has a safety system (collision, lift and the loop around your area) and it will automatically return to the charging station when charging is needed.

Physical exercise is any bodily activity that enhances or maintains physical fitness and overall health and wellness.

It is performed for various reasons including strengthening muscles and the cardiovascular system, honing athletic skills, weight loss or maintenance, as well as for the purpose of enjoyment.

Frequent and regular physical exercise boosts the immune system, and helps prevent the "diseases of affluence" such as heart disease, cardiovascular disease, Type 2 diabetes and obesity.

Kinect is a motion sensing input device by Microsoft for the Xbox 360 video game console and Windows PCs.

Stone E, Skubic M, Rantz M, Abbott C & Miller S, “Average In-Home Gait Speed: Investigation of a New Metric for Mobility and Fall Risk Assessment of Elders,” Gait and Posture, 2015, -62.

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