USING HEURISTIC PATHFINDING METHODS HUMAN-COMPUTER INTERACTION APPLICATIONS BASED ON EMG SIGNALS FOR REHABILITATION OF INJURIES AND DISORDERS

  • Dogu Sirt Computer Engineering Department, Istanbul Technical University
  • Evren Daglarli Computer Engineering Department, Istanbul Technical University
  • Erke Aribas Computer Engineering Department, Istanbul Technical University

Abstract

Electromyography (EMG) signals have widespread usage in artificial intelligence and human-computer interaction applications. Real-time imaging of muscle activation which is a result of arm movements can be used to help injuries and disorders. It is an important challenge for injured people and disorders to find their paths while walking in daily life. While investigating and evaluating real-time activity of muscles, it is intended to present a novel approach by using heuristic pathfinding methods like A*and D* Lite. By this way, for people who are in need are provided a possibility to find their path from A to B. When defining the route of people, muscle activation signals on a new wearable device are used.

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Published
2017-09-16
How to Cite
SIRT, Dogu; DAGLARLI, Evren; ARIBAS, Erke. USING HEURISTIC PATHFINDING METHODS HUMAN-COMPUTER INTERACTION APPLICATIONS BASED ON EMG SIGNALS FOR REHABILITATION OF INJURIES AND DISORDERS. International Journal of Scientific Research in Information Systems and Engineering (IJSRISE), [S.l.], v. 3, n. 2, p. 25-30, sep. 2017. ISSN 2380-5579. Available at: <http://ijsrise.com/index.php/IJSRISE/article/view/85>. Date accessed: 21 nov. 2017.

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