A Modern Technique Enabling Social Interactions for Paralyzed People with Talk Back System
G. Valarmathi1, K. Gayathri2, B. Sai Kruti3, A. Tabitha Jerusha4
1G. Valarmathi, Department of Electronics and Communication Engineering, Sri Sairam Institute of Technology, Chennai (Tamil Nadu), India.
2K. Gayathri, Department of Electronics and Communication Engineering, Sri Sairam Institute of Technology, Chennai (Tamil Nadu), India.
3B. Sai Kruti, Department of Electronics and Communication Engineering, Sri Sairam Institute of Technology, Chennai (Tamil Nadu), India.
4A. Tabitha Jerusha, Department of Electronics and Communication Engineering, Sri Sairam Institute of Technology, Chennai, Tamil Nadu.
Manuscript received on 23 April 2019 | Revised Manuscript received on 02 May 2019 | Manuscript Published on 08 May 2019 | PP: 187-190 | Volume-7 Issue-5S3 February 2019 | Retrieval Number: E11350275S19/19©BEIESP
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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: It is known that the technological advancements are increasing at a faster pace. But the utilization of these technologies in various sectors is very low. Communications between paralyzed and a standard person have invariably been a difficult task. The project aims to facilitate individuals by means of a human activities based communication interpreter system. For every specific gesture produces a proportional amendment in resistance and measures the orientation of hand. This will be useful for person who had leg paralyzed. Eyeball and head movements are also monitored. The process of those human movements finished in controller. This section is useful for fully paralyzed persons.
Keywords: Paralysis, Sign Language, Eyeball Movement.
Scope of the Article: Social Networks