In-home monitoring using sensors has the potential to improve the life of elderly and chronically ill persons, assist their family and friends in supervising their status, and provide early warning signs to the person’s clinicians. The Get Up and Go test is a clinical test used to assess the balance and gait of a patient. We propose a way to automatically apply an abbreviated version of this test to patients in their residence using video data without body-worn sensors or markers. 1
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