Interaction Human-Computer Systems that use cameras are gaining presence and demand based on more accurate and affordable development of body-language interaction systems.
Using only a camera to detect the motion of a user may be enough when he/she is in its field of view. In that case, the system provides accurate information about the position and motion of the user, but when the interaction takes place in a large space or a large number of users are considered, a single camera system has limitations to detect and track the users. However, if the use of a set of cameras is considered, the system may deal properly with the recognition of the users, proving higher accuracy and capacity.
This paper presents a solution based on a multisensor positioning system using motion capture to overcome the described shortcomings. Currently, this solution is being used to create systems which need information about the position and visual identification of multiple users, such as solutions to support physical rehabilitation activities.
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