Real-time error detection for a rowing training system
Leonard Johard*, Alessandro Filippeschi* and Emanuele Ruffaldi*
The use of coaches in training provides several advantages to the skill transfer process. However, their use is limited because of cost reasons. Automatic recognition processes, on the other hand, have a vastly lower cost ratio and can replace or integrate many of the functions otherwise performed by a human. The paper presents an effective design of a real-time error recognition system for rowing in a simulator. It was designed in order to be easy to develop, be computationally efﬁcient and offer an excellent classiﬁcation ability.
© Owned by the authors, published by EDP Sciences, 2011