A Real Time LabVIEW based Low Cost Virtual Control Personal Assistive System for Disabled using Motion Intention and Speech
K. Karthik1, K. Abhyudhay2, M. Sai Prasad3, Shaik Shafi4

1Karthik K*, ECE, B V Raju Institute of Technology, Narsapur, India.
2Abhyudhay K, ECE, B V Raju Institute of Technology, Narsapur, India. Email:
3Sai Prasad M, ECE, B V Raju Institute of Technology, Narsapur, India.
4Shaik Shafi, ECE, B V Raju Institute of Technology, Narsapur, India.
Manuscript received on April 20, 2020. | Revised Manuscript received on May 02, 2020. | Manuscript published on May 10, 2020. | PP: 1247-1250 | Volume-9 Issue-7, May 2020. | Retrieval Number: G5859059720/2020©BEIESP | DOI: 10.35940/ijitee.G5859.059720
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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: In the recent past, due to the rapid spread of robotic technology, there is an increase in heed towards the design of self rehabilitation devices for physically challenged persons. Thus, in this paper, we develop “A Real Time LabVIEW based low cost virtual control personal assistive system for disabled using motion intention and Speech”. Towards this, at the beginning the motion intention is estimated through the user muscle activities in real-time using Electromyogram (EMG) electrodes. Thus, the EMG electrodes control the system in proportion with users’ motion intention. However, sometimes there is a problem in the estimation of motion intention due to poor muscle activity in weak persons and surrounding environment. In that case, to modify the user’s motion and to avoid accidents, speech recognition technology is introduced as an alternative. Therefore, this system helps the disabled people to input their data by mapping both EMG signals and Voice commands using LabVIEW. The proposed virtual control personal system is tested using a Robot model and developed on Arduino platform. The possible enhancements of developed control system may also be discussed for potential applications in medical, home and industrial environments. 
Keywords: Arduino Uno, Disabled people, Electromyography (EMG), LabVIEW
Scope of the Article: Virtual Reality