Hand Gesture Recognition System

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.

Country : India

1 Dr. V.R.Dhawale2 Prof. Rana Afreen Sheikh3 Harish S. Palaspagar4 Rahul Kumar5 Jaywant N. Mhala

  1. Professor, K. K. Wagh Institute of Engineering Education and Research, Nashik, India
  2. Professor, Department of MCA, Vidyabharati Mahavidyalaya, Amravati, India
  3. Student, Department of MCA, Vidyabharati Mahavidyalaya, Amravati, India
  4. Student, Department of MCA, Vidyabharati Mahavidyalaya, Amravati, India
  5. Student, Department of MCA, Vidyabharati Mahavidyalaya, Amravati, India

IRJIET, Volume 6, Issue 10, October 2022 pp. 133-135

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.