MIRCHI – A Cogent Tool for Prosthesis and Human Robot Interaction
Sahithi Govindaraju1, Krishna Prasad Satamraju2, Sathish Babu Kaapaarapu3
1Sahithi Govindaraju, M. Tech Student, Department of Electronics and Communication Engineering, Aurora’s Technological and Research Institute, Hyderabad, (Telangana), India.
2Krishna Prasad Satamraju, Asst. Prof., Department of Electronics and Communication Engineering, Vasireddy Venkatadri Institute of Technology, Nambur, Guntur, (A.P), India.
3Sathish Babu Kaapaarapu, Assoc. Prof., Department of Electronics and Communication Engineering, Aurora’s Technological and Research Institute, Hyderabad, (Telangana), India.
Manuscript received on 23 July 2015 | Revised Manuscript received on 30 July 2015 | Manuscript published on 30 July 2015 | PP: 33-36 | Volume-4 Issue-3, July 2015 | Retrieval Number: C1457074315©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: To achieve highly dexterous manoeuvre with many degrees of freedom is of significant importance to perform normal hand-like movements. We present a powerful tool, Myoelectric Interface for Computer and Human Interaction (MIRCHI), which can be used in prosthesis, physiotherapy and Gaming technology. MIRCHI is useful for people undergoing upper limb prosthesis. Unlike most of the exiting prosthesis tools which are dynamic subject- or task-specific, the proposed system takes input from the muscle of the subject using surface electromyography sensors and generates corresponding movements with the aid of some predefined mapping functions. We have tested different movements from various subjects. Results show that the subject is able to make custom movements with lot of ease. The entire system is developed in Ubuntu 12.04 LTS and OpenGL is used for GUI.
Keyword: Degree-of-Freedom (DoF), Human Computer Interaction, OpenGL, Prosthesis, Ubuntu 12.04 LTS.
Scope of the Article: Computer Vision