Authors:
Pedro Macedo
1
;
José A. Afonso
1
;
Luis A. Rocha
1
and
Ricardo Simoes
2
Affiliations:
1
University of Minho, Portugal
;
2
University of Minho and Polytechnic Institute of Cávado and Ave, Portugal
Keyword(s):
Wireless Sensor Networks, Motion Capture, Wearable Sensors, Home-based Rehabilitation.
Related
Ontology
Subjects/Areas/Topics:
Applications
;
Assistive Technologies
;
Biomedical Engineering
;
Biomedical Signal Processing
;
Devices
;
Health Engineering and Technology Applications
;
Health Information Systems
;
Human-Computer Interaction
;
Neural Rehabilitation
;
Neurotechnology, Electronics and Informatics
;
Pattern Recognition
;
Physiological Computing Systems
;
Software Engineering
;
Wearable Sensors and Systems
Abstract:
The constant growth of the elderly population in the world creates new challenges and opportunities in health care systems. New technological solutions have to be found in order to meet the needs and demands of our aging society. The welfare and quality of life of the elderly population must be a priority. Continuous physical activity will play an important role, due to the increase of the retirement age. However, physiotherapy can be expensive, even when the desire movements are autonomous and simple, also requires people to move to rehabilitation centres. Within this context, this paper describes the development and preliminary tests of a wireless sensor network, based on wearable inertial and magnetic sensors, applied to the capture of human motion. This will enable a personalized home-based rehabilitation system for the elderly or people in remote physical locations.