Loading...
| Name: | Description: | Size: | Format: | |
|---|---|---|---|---|
| 524.48 KB | Adobe PDF |
Advisor(s)
Abstract(s)
Sedentarism has a negative impact on health, life expectancy
and quality of life, especially in older adults. The assessment
of functional fitness helps evaluating the effects of ageing and
sedentarism, and this assessment is typically done through
validated battery tests such as the Senior Fitness Test (SFT).
In this paper we present a computer-based system for
assisting and automating SFT administration and scoring in
the elderly population. Our system assesses lower body
strength, agility and dynamic balance, and aerobic endurance
making use of a depth sensor for body tracking and multiple
gesture detectors for the evaluation of movement execution.
The system was developed and trained with optimal data
collected in laboratory conditions and its performance was
evaluated in a real environment with 22 elderly end-users, and
compared to traditional SFT administered by an expert.
Results show a high accuracy of our system in identifying
movement patterns (>95%) and consistency with the
traditional fitness assessment method. Our results suggest that
this technology is a viable low cost option to assist in the
fitness assessment of elderly that could be deployed for at
home use in the context of fitness programs.
Description
Keywords
Senior fitness test Older adults Assistive technology Gesture detection Kinect . Faculdade de Ciências Exatas e da Engenharia
Citation
Gonçalves, A. R., Gouveia, E. R., Cameirão, M. S., & Bermúdez i Badia, S. (2015, November). Automating senior fitness testing through gesture detection with depth sensors. In IET International Conference on Technologies for Active and Assisted Living (TechAAL) (pp. 1-6). IET.
Publisher
IET