Real-Time Gesture Recognition, Evaluation and Feed-Forward Correction of a Multimodal Tai-Chi Platform

Toward Personalized Vibrotactile Support When Learning Motor Skills

“…In turn, the processing approach is carried out in most systems by the software provided by the motion capture system when used [16,17,20,21]. However, there are two systems that have implemented their own algorithms (a gesture recognition system with probabilistic neural networks and finite state machines in [18] and an empirical algorithm in [19]). Measures specified are either angles and positions [16,17,20] or forces [19].…”

“…Most of the systems focus on a specific part of the body (arm and/or hands) as in [16][17][18]20]. The torso is also considered in [21]; [19] focuses on different parts across the body.…”

“…The systems analyzed in Table 1 have been developed as a general solution (e.g., [16,20]) or to train motor skills in specific contexts, such as karate [17], tai-chi [18], snowboarding [19], and violin playing [21]. Most of the systems focus on a specific part of the body (arm and/or hands) as in [16][17][18]20].…”

“…In any case, for the error diagnosis, systems carry out some movement modelling, with ad hoc algorithms that depend on the domain and kind of movement. User features are never modeled, although in the ideal individual path, [18] considers user's build, the way in which she is holding the violin and even the teacher's pedagogy. The modelling of the context is only considered in [19].…”

“…Regarding the monitoring, in most of the systems, movement was sensed with optical tracking techniques that detect markers placed on users' body, using motion capture systems either with Vicon cameras [16,18] or infrared devices [17,20]. These techniques limit the data collection to the room where the tracking infrastructure is prepared.…”