Abstract
We present a system capable of providing visual feedback for ergometer training, allowing detailed analysis and gamification. The presented solution can easily upgrade any existing ergometer device. The system consists of a set of pedals with embedded sensors, readout electronics and wireless communication modules and a tablet device for interaction with the users, which can be mounted on any ergometer, transforming it into a full analytical assessment tool with interactive training capabilities. The methods to capture the forces and moments applied to the pedal, as well as the pedal’s angular position, were validated using reference sensors and high-speed video capture systems. The mean-absolute error (MAE) for load is found to be 18.82 N, 25.35 N, 0.153 Nm for , and respectively and the MAE for the pedal angle is 13.2°. A fully gamified experience of ergometer training has been demonstrated with the presented system to enhance the rehabilitation experience with audio visual feedback, based on measured cycling parameters.
Highlights
A growing global population combined with higher life expectancy has increased the number of elderly people in the world to unprecedented levels
Physiotherapy is a major part of these services needed by the elderly population for physical rehabilitation, injury prevention, and well-being
The method consists in a first rough estimation from the accelerometer measurements and feeding this rough estimate to a Kalman filter (KF), in which the gyroscope is integrated
Summary
A growing global population combined with higher life expectancy has increased the number of elderly people in the world to unprecedented levels. Ergometer training is performed by a large number of athletes seeking to maximize their performance Their post-session analyses are often more detailed, including but not limited to, tracking the power output of each leg individually, the applied forces, and the joint angles for each phase of a pedaling cycle. This detailed analysis allows athletes to fine tune their training sessions to work on weaknesses and imbalances for better performance. The system consists of a set of pedals with embedded sensors, readout electronics and a wireless communication module, which can be mounted on any ergometer It will transform the ergometer into a full analytical assessment tool with interactive training capabilities. An implementation of an interactive training program utilizing the pedal system and a game displayed on a tablet device is presented
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