SMART WHEELCHAIR USING VOICE, GESTURE AND EYE MOVEMENT RECOGNITION

B.Thanu Sri; G.Devanand; b.Vishnu Vardhan; K.Deepthi Srilekha; P.Prasana Kumari; V.Anil; V.Kiran Babu

SMART WHEELCHAIR USING VOICE, GESTURE AND EYE MOVEMENT RECOGNITION

March 2025

Vol-11, Issue-2

Paper ID: 25971

ISSN: 2395-4396

Downloads: 0

Abstract & Details

Research Area

Power Electronics Engineering

Keywords

Smart Wheelchair Voice Recognition Gesture Recognition Eye Movement Recognition Disability Rehabilitation.

Abstract

This project proposes the development of a smart wheelchair that can be controlled using voice commands, hand gestures, and eye movements. The system aims to provide individuals with severe motor disabilities, such as quadriplegia, amyotrophic lateral sclerosis (ALS), and spinal cord injuries, with a more intuitive and independent way of navigating their surroundings. The smart wheelchair will utilize a multimodal interface, combining voice recognition, computer vision, and electrooculography (EOG) to detect and interpret user inputs. The system will consist of a wheelchair-mounted computer, a voice recognition module, a camera for gesture recognition, and an EOG sensor for eye movement.

License

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Author Information

#	Name	Institute / Affiliation
1	B.Thanu Sri	NRI INSTITUTE OF TECHNOLOGY
2	G.Devanand	NRI INSTITUTE OF TECHNOLOGY
3	b.Vishnu Vardhan	NRI INSTITUTE OF TECHNOLOGY
4	K.Deepthi Srilekha	NRI INSTITUTE OF TECHNOLOGY
5	P.Prasana Kumari	NRI INSTITUTE OF TECHNOLOGY
6	V.Anil	NRI INSTITUTE OF TECHNOLOGY
7	V.Kiran Babu	NRI INSTITUTE OF TECHNOLOGY

How to Cite

Use the following formats to cite this article in your research.

APA Style

Sri, B.Thanu, G.Devanand, Vardhan, b.Vishnu, Srilekha, K.Deepthi, Kumari, P.Prasana, V.Anil, & Babu, V.Kiran (2025). SMART WHEELCHAIR USING VOICE, GESTURE AND EYE MOVEMENT RECOGNITION. International Journal of Advance Research and Innovative Ideas In Education, 11(2), 576-581.

MLA Style

Sri, B.Thanu, et al. "SMART WHEELCHAIR USING VOICE, GESTURE AND EYE MOVEMENT RECOGNITION." International Journal of Advance Research and Innovative Ideas In Education, vol. 11, no. 2, 2025, pp. 576-581.

IEEE Style

B.Thanu Sri, G.Devanand, b.Vishnu Vardhan, K.Deepthi Srilekha, P.Prasana Kumari, V.Anil, and V.Kiran Babu, "SMART WHEELCHAIR USING VOICE, GESTURE AND EYE MOVEMENT RECOGNITION," International Journal of Advance Research and Innovative Ideas In Education, vol. 11, no. 2, pp. 576-581, 2025.

Vancouver Style

Sri B.Thanu, G.Devanand, Vardhan b.Vishnu, Srilekha K.Deepthi, Kumari P.Prasana, V.Anil, et al. SMART WHEELCHAIR USING VOICE, GESTURE AND EYE MOVEMENT RECOGNITION. International Journal of Advance Research and Innovative Ideas In Education. 2025;11(2):576-581.

Harvard Style

Sri, B.Thanu, G.Devanand, Vardhan, b.Vishnu, Srilekha, K.Deepthi, Kumari, P.Prasana, V.Anil, & Babu, V.Kiran (2025) 'SMART WHEELCHAIR USING VOICE, GESTURE AND EYE MOVEMENT RECOGNITION', International Journal of Advance Research and Innovative Ideas In Education, 11(2), pp. 576-581.

Chicago Style

Sri, B.Thanu, et al. "SMART WHEELCHAIR USING VOICE, GESTURE AND EYE MOVEMENT RECOGNITION." International Journal of Advance Research and Innovative Ideas In Education 11, no. 2 (2025): 576-581.

Turabian Style

Sri, B.Thanu, et al. "SMART WHEELCHAIR USING VOICE, GESTURE AND EYE MOVEMENT RECOGNITION." International Journal of Advance Research and Innovative Ideas In Education 11, no. 2 (2025): 576-581.