Hand Gesture Recognition System

Dr. V.R.DhawaleProfessor, K. K. Wagh Institute of Engineering Education and Research, Nashik, IndiaProf. Rana Afreen SheikhProfessor, Department of MCA, Vidyabharati Mahavidyalaya, Amravati, IndiaHarish S. PalaspagarStudent, Department of MCA, Vidyabharati Mahavidyalaya, Amravati, IndiaRahul KumarStudent, Department of MCA, Vidyabharati Mahavidyalaya, Amravati, IndiaJaywant N. MhalaStudent, Department of MCA, Vidyabharati Mahavidyalaya, Amravati, India

Vol 6 No 10 (2022): Volume 6, Issue 10, October 2022 | Pages: 133-135

International Research Journal of Innovations in Engineering and Technology

OPEN ACCESS | Research Article | Published Date: 18-11-2022

doi Logo doi.org/10.47001/IRJIET/2022.610025

Abstract

Hand gesture recognition system received great attention in the recent few years because of its manifoldness applications and the ability to interact with machine efficiently through human computer interaction. Recognition of Gestures helps and enables the humans to interact and communicate with computers and IT devices in a natural way. Hand Gesture can be termed as interactive process of interaction without physical connectivity. Gesture recognition helps in the environment known to be HMI (humans communication with the machine and interact) and that does not include touch of mechanical devices. Techniques such as Image process are at prime and sometimes use of hard ware devices become redundant as moving towards hand gesture recognition.

Keywords

Hand Posture, Hand Gesture, Human Computer Interaction (HCI), Segmentation, Feature Extraction


Citation of this Article

Dr. V.R.Dhawale, Prof. Rana Afreen Sheikh, Harish S. Palaspagar, Rahul Kumar, Jaywant N. Mhala, “Hand Gesture Recognition System” Published in International Research Journal of Innovations in Engineering and Technology - IRJIET, Volume 6, Issue 10, pp 133-135, October 2022. Article DOI https://doi.org/10.47001/IRJIET/2022.610025

References
  1. Aditya Ramamoorthy et al. “Recognition of dynamic hand gestures “, page 1-13. Department of Electrical Engineering IIT New Delhi-110016, India.
  2. https://en.wikipedia.org/wiki/Gesture_recognition
  3. http://homepages.inf.ed.ac.uk/rbf/CVonline/LOCAL_COPIES/COHE N/gesture_overview.html
  4. http://www.edgefxkits.com/blog/what-is-gesture-recognition-technolog y-glimpse-of-the-future/
  5. Freeman, W. T., Weissman, C. D. (1995). “Television Control by Hand Gestures”. IEEE International Workshop on Automatic Face and Gesture Recognition.
  6. V. S. Kulkarni, S.D.Lokhande, (2010). “Appearance Based Recognition of American Sign Language Using Gesture Segmentation”, International Journal on Computer Science and Engineering (IJCSE), Vol. 2(3), pp. 560-565.