Hand Gesture Recognition System For Human Computer Interaction(HCI)

Authors

  • Nirali A. Patel  M.E(I.T) Student, I.T Department, L.D College of Engineering, Ahmedabad, Gujarat, India
  • Swati J. Patel  Assistant Prof., I.T Department, L.D College of Engineering, Ahmedabad, Gujarat, India

Keywords:

Blind, dactylology, gesture-based interaction, hand/wrist posture, human–computer interface (HCI), reduced shape signature, rule based classifier

Abstract

Movement of Human Hands interpreted mathematically by gesture recognition system. In our Modern life, gestural medium plays an important role for interaction. For ultra-modern, pure and friendly interaction with devices, hand gestures are more reliable. Most favoured approaches of hand gesture recognition are Robotics, American Sign Language (ASL), Games, and Human Computer Interaction (HCI) etc. Even though a large amount of work has been performed in the gesture based human–computer interface, blind users still feel it is tough to interact with computers. The major obstacle is the lack of knowledge about blind user’s preferences toward hand gestures. To get knowledge about blind user’s preferred gesture, a user judgement study is carried out and most favorable gesture set is obtained. The performance and preference measure analysis mainly considered in selection of most favorable gesture. Learning, easiness, naturalness, and reproducibility, these four criteria involve in performance measure rating. These most favorable and easy gestures are used in developing dactylology which is used by blind users for easy cooperation with computer.

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Published

2018-04-30

Issue

Section

Research Articles

How to Cite

[1]
Nirali A. Patel, Swati J. Patel, " Hand Gesture Recognition System For Human Computer Interaction(HCI), International Journal of Scientific Research in Science, Engineering and Technology(IJSRSET), Print ISSN : 2395-1990, Online ISSN : 2394-4099, Volume 4, Issue 4, pp.1066-1069, March-April-2018.