Ante Panjkota

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The problem of detecting objects and their movements in sensor data is of crucial importance in providing safe navigation through both indoor and outdoor environments for the visually impaired. In our setting we use depth-sensor data obtained from a simulator and use inductive logic programming (ILP), a subfield of machine learning that deals with learning(More)
In this article an outline of a fuzzy qualitative framework for the indoor rowing kinematics analysis have been proposed. Main goal of introducing this fuzzy qualitative framework is to bridge the gap between high level of quantitative details obtained with various present – day sensory or video inputs and symbolic representation used by rowing experts. A(More)
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