Active Heterogeneous Sensing for Fall Detection and Fall Risk Assessment

We leverage ongoing research at a unique local eldercare facility (TigerPlace) 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. The project investigates the interplay between fall detection and fall risk assessment.

HCC: Elder-Centered Recognition Technology for the Assessment of Physical Function

Researchers at the University of Missouri-Columbia and the University of Washington have established a multidisciplinary team comprised of researchers in computer science and engineering, nursing, and medical informatics dedicated to developing and evaluating technology to keep older adults functioning at higher levels and living independently. We have leveraged ongoing research at a unique local eldercare facility (TigerPlace) to study vision-based recognition methods for multi-person environments designed to capture continuous and automated assessments of older adults’ physical function.

Technology to Enhance Aging in Place at TigerPlace

The dream of older Americans is to remain as active and independent as possible for as long as possible. They want to age in place, not in institutions like nursing homes. Recently, enabling technology in the form of low cost sensors, computers, and communications systems has become available, which with supportive health care services makes the dream of aging in place a reality.