Design of Hand Movement based Smart Automation System
B. Ponkarthika1, E. Kaliappan2, V. Vijeesh3, G Vignesh4
1B. Ponkarthika, Department of EEE, Easwari Engineering College, Chennai (Tamil Nadu), India.
2Dr. E. Kaliappan, Department of EEE, Easwari Engineering College, Chennai (Tamil Nadu), India.
3V. Vijeesh, Department of EEE, Easwari Engineering College, Chennai (Tamil Nadu), India.
4G. Vignesh, Department of EEE, Easwari Engineering College, Chennai (Tamil Nadu), India.
Manuscript received on 28 September 2019 | Revised Manuscript received on 10 November 2019 | Manuscript Published on 22 November 2019 | PP: 1402-1405 | Volume-8 Issue-6S3 September 2019 | Retrieval Number: F12490986S319/19©BEIESP | DOI: 10.35940/ijeat.F1249.0986S319
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© The Authors. Blue Eyes Intelligence Engineering and Sciences Publication (BEIESP). This is an open access article under the CC-BY-NC-ND license (http://creativecommons.org/licenses/by-nc-nd/4.0/)

Abstract: There are millions deaf people in the world and around many people in India who are affected by ALS and paralysis, they face difficulty in communicating with others. Therefore in this paper we propose a system that converts simple gesture to speech and also use these gesture to control the home appliances he project will be in the form of glove which makes it handy and reliable. It uses flex sensors for gesture recognition and TTS module for the gesture to speech feature which makes it slender and much viable.
Keywords: Automation, Flex Sensors, Gesture Recognition, Gesture To Speech.
Scope of the Article: Software Test Automation and Tools