Hand Gesture Recognition for Automation Applications

Authors

  • K. R. Nimisha  Electronics and Communication Engineering, Sri Eshwar College of Engineering, Kinathukadavu, Tamil Nadu, India
  • S. Saranya  Electronics and Communication Engineering, Sri Eshwar College of Engineering, Kinathukadavu, Tamil Nadu, India
  • R. Suganya  Electronics and Communication Engineering, Sri Eshwar College of Engineering, Kinathukadavu, Tamil Nadu, India
  • Venisha John  Electronics and Communication Engineering, Sri Eshwar College of Engineering, Kinathukadavu, Tamil Nadu, India
  • D. Suganya  Electronics and Communication Engineering, Sri Eshwar College of Engineering, Kinathukadavu, Tamil Nadu, India

Keywords:

Lab VIEW, PIC, ADC, RAM, EEPROM, CCP, ICSP, PORT, UART, DCE, DTE

Abstract

Gesture is a kind of non-verbal communication where actions are communicated using objects instead of speech or vocal sounds. It was the very first mode of communication before the development of civilization and languages. Gesture recognition based communication is used in various automation applications. Hand gesture is the most commonly used mode of gesture automation which will be very helpful for physically challenged people and in the places where the man power requirements is to be reduced. Diversified applications of gesture automation include switching home appliances, avionics, industrial automations etc. Gesture based on bare hand has some disadvantages in angle detection and setting threshold for gesture recognition. In this paper hand gesture recognition based on color identification approach is actually proposed. Considering the essential factors such as background color, skin tone etc., bright color coatings are given to the glove which is worn on the hand for proper recognition. The steps associated with hand gesture identification are data acquisition, color comparison in lab VIEW and further proceedings based on the color identified in the preprogrammed manner.

References

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Published

2017-04-30

Issue

Section

Research Articles

How to Cite

[1]
K. R. Nimisha, S. Saranya, R. Suganya, Venisha John, D. Suganya, " Hand Gesture Recognition for Automation Applications, International Journal of Scientific Research in Science, Engineering and Technology(IJSRSET), Print ISSN : 2395-1990, Online ISSN : 2394-4099, Volume 3, Issue 2, pp.171-174, March-April-2017.