Novel walking pole gait pattern improves activity in an older adult with chronic low back pain.

A 65-year-old woman with chronic low back pain participated in a 1-week community walking poles course. Although the participant received instruction in the standard Nordic walking method, she independently adopted a novel, modified, two-point gait pattern. Subsequently, her pain and activity tolerance using walking poles were monitored at 6 and 12 months.

Smart Carpet: Developing a sensor system to detect falls and summon assistance.

Cognitive deficits experienced by older adults with dementia limit use of wearable devices (necklaces or bracelets) that summon assistance after the older adult falls. To use these wearable devices, older adults must choose to wear them, remember how to use them, and be conscious after falling. Devices such as the Smart Carpet substitute pre-programmed or automatic functions for functions requiring deliberation and decision.

Investigation of gait features for stability and risk identification in elders.

Today, eldercare demands a greater degree of versatility in healthcare. Automatic monitoring devices and sensors are under development to help senior citizens achieve greater autonomy, and, as situations arise, alert healthcare providers. In this paper, we study gait patterns based on extracted silhouettes from image sequences.

Tracking Exercise Motions of Older Adults Using Contours.

In this paper we describe the development of a novel markerless motion capture system and explore its use in documenting elder exercise routines in a health club. This system uses image contour tracking and swarm intelligence methods to track the location of the spine and shoulders during three exercises - treadmill, exercise bike, and overhead lateral pull-down. Validation results show that our method has a mean error of approximately 2 degrees when measuring the angle of the spine or shoulders relative to the horizontal.