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 ‘learning phase’, under supervision of a caregiver.Project “AAL4ALL”, co-financed by the
European Community Fund FEDER through
COMPETE – Programa Operacional Factores de
Competitividade (POFC). This work is funded by
FEDER funds through the COMPETE 2020
Programme and National Funds through FCT -
Portuguese Foundation for Science and Technology
under the projects UID/CTM/50025/2013 and
UID/EEA/04436/2013.info:eu-repo/semantics/publishedVersio