Preliminary results of evaluating a prediction-based algorithm for movement pattern recognition and classification

In this paper a new, easy-to-use algorithm is presented to support telerehabilitation of people with movement disabilities. This algorithm can adapt to the needs of the patients as it combines the cognitive property of intelligent decision-making systems with the human-computer interaction-based mov...

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Bibliographic Details
Published in2020 11th IEEE International Conference on Cognitive Infocommunications (CogInfoCom) pp. 000039 - 000044
Main Authors Guzsvinecz, Tibor, Szucs, Veronika, Magyar, Attila
Format Conference Proceeding
LanguageEnglish
Published IEEE 23.09.2020
Subjects
Classification algorithms
cognitive infocommunications
Gesture recognition
Kinect
Medical treatment
Motion detection
Position measurement
Prediction algorithms
real-time gesture recognition and classification
rehabilitation exercises
telerehabilitation
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DOI10.1109/CogInfoCom50765.2020.9237843

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Summary:In this paper a new, easy-to-use algorithm is presented to support telerehabilitation of people with movement disabilities. This algorithm can adapt to the needs of the patients as it combines the cognitive property of intelligent decision-making systems with the human-computer interaction-based movement therapy. This algorithm is built upon the earlier work of the authors and it uses six various mean techniques to classify gesture descriptors. The preliminary results and a plan of evaluating the algorithm are presented in this paper.
DOI:10.1109/CogInfoCom50765.2020.9237843