Authors:
Pedro Macedo
1
;
José Afonso
1
and
Ricardo Simões
2
Affiliations:
1
University of Minho, Portugal
;
2
University of Minho and Polytechnic Institute of Cávado and Ave, Portugal
Keyword(s):
Motion Capture, Physiotherapy, Wireless Sensor Networks, Wearable Sensors.
Related
Ontology
Subjects/Areas/Topics:
Application Domains
;
Applications and Uses
;
Biomedical Engineering
;
Health Information Systems
;
Healthcare
;
Home Monitoring and Assisted Living Applications
;
Sensor Networks
;
Simulation and Modeling
;
Well-Being and Well-Working
Abstract:
We live in an aging society, an issue that will be exacerbated in the coming decades, due to low birth rates
and increasing life expectancy. With the decline in physical and cognitive functions with age, it is of the
utmost importance to maintain regular physical activity, in order to preserve an individual’s mobility, motor
capabilities and coordination. Within this context, this paper describes the development of a wireless sensor
network and its application in a human motion capture system based on wearable inertial and magnetic
sensors. The goal is to enable, through continuous real-time monitoring, the creation of a personalized
home-based rehabilitation system for the elderly population and/or injured people. Within this system, the
user can benefit from an assisted mode, in which their movements can be compared to a reference motion
model of the same movements, resulting in visual feedback alerts given by the application. This motion
model can be created previously, in a ‘lear
ning phase’, under supervision of a caregiver.
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