EMIVR Based Smart Computer

Authors

  • Thombare Mayuri  BE Computer Engineering, SPPU, Loni, Maharashtra, India
  • Dhawale Poonam  BE Computer Engineering, SPPU, Loni, Maharashtra, India
  • Amale Rohini  BE Computer Engineering, SPPU, Loni, Maharashtra, India
  • Londhe Aishwarya   BE Computer Engineering, SPPU, Loni, Maharashtra, India

DOI:

https://doi.org//10.32628/IJSRST207380

Keywords:

FiveSenses, EyeTracking, Communication, Speechrecognization, Handicappedpeople, Accuracy, pointof gaze, Accent, Visuals, Psychology assistive.

Abstract

Man has five senses representing natural windows of communication between him and outside world. Talking and Eye Tracking is the best means of communication existing. Speech recognition and eyeball position can be applied in computer devices to control the useful software to facilitate people in their life. Handicapped people suffer the difficulty of using computers themselves and to spend some basic needs and necessities, usually need another person to help them in that. This assistance is achieved through the design of special system for controlling computer using voice commands and eye ball tracking. Voice recognition allows you to rapidly write text just by speaking to your computer. Accuracy varies depending on your accent, how fast you speak, surrounding noise levels and subject nature. Eye tracking is a technique to measure either the point of gaze (where someone is gazing) or the motion of an eye relative to the head. Eye tracking technology has applications in industry and research in visual systems psychology assistive technologies marketing as an input device for human computer interaction and in product and website design.

References

  1. Development of a voice-controlled home automation system for the differently-abledKaran Pande, Ashirbad Pradhan, Suraj Kumar Nayak,Pratyush Kumar Patnaik, Biswajeet Champaty, Arfat Anis and Kunal Pal.1Department of Biotechnology and Medical Engineering, National Institute of Technology, Rourkela, India, 2Department of Chemical Engineering, King Saud University, Riyadh, Saudi Arabia.
  2. Voice Activated Smart Home Design and Implementation Chan Zhen Yue School of Electrical and Electronics Engineering Nanyang Technological University Singaporee-mail: zchan012@e.ntu.edu.sg Shum PingDirector, Centre for Optical Fibre Technology Nanyang Technological University
  3. Scheduler and Voice Recognition on Home Automation Control System Syarif Hidayat Department of Informatics Universitas Islam Indonesia Yogyakarta, Indonesia syarif@uii.ac.id Syahrial Farid Firmanda Department of Informatics Universitas Islam Indonesia Yogyakarta, Indonesia
  4. VOICE COMMAND RECOGNITION SYSTEM BASED ON MFCC AND DTW ANJALI BALA* Kurukshetra University, Department of Instrumentation & Control Engineering., H.E.C* Jagadhri, Haryana, 135003, India
  5. ABHIJEET KUMAR Mullana University, Department of Electronics and Comm. Engineering., M.M.E.C Mullana, Haryana, 133203
  6. NIDHIKA BIRLA Kurukshetra University, Department of Electronics Engineering., H.E.C Jagadhri, Haryana, 135003, India

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Published

2020-06-30

Issue

Section

Research Articles

How to Cite

[1]
Thombare Mayuri, Dhawale Poonam, Amale Rohini, Londhe Aishwarya , " EMIVR Based Smart Computer, International Journal of Scientific Research in Science and Technology(IJSRST), Online ISSN : 2395-602X, Print ISSN : 2395-6011, Volume 7, Issue 3, pp.397-400, May-June-2020. Available at doi : https://doi.org/10.32628/IJSRST207380