Hand Gesture Control Wheelchair for Disabled People

Abstract: A new assistive technology, called the Hand Gesture Control Wheelchair (HGCW) system, is designed to help individuals with mobility impairments increase their independence and mobility. Thesystem consists of a wearable device with sensors that detect hand movements and Arduino microcontrollers for real-time data processing andwheelchair control.The HGCW system usesgesture recognition algorithms to translate hand gestures into corresponding wheelchair movements, such as forward, backward, left, and right turns, and communicates wirelessly with the wheelchair's control unit. The system is costeffective, customizable, and intuitive, making it accessible to a wide range of users. The HGCW system has the potential to revolutionize the way disabled individuals navigate their environment, empowering them to lead more independent and fulfilling lives. Through the adjustment of the head motion, the information goes wirelessly tothe microcontroller dependentmotor driving circuit to control the rotation of the WheelChairin five differentmodes, including FRONT, BACK, RIGHT, LEFT anda special STAND lockingdevice. The proposed system is assembled using components obtained from the local market and checked in the laboratory for efficient performance, the test results are included in this article.

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Publication Details

Journal
International Journal for Research in Applied Science and Engineering Technology
Published
2025-04-18
DOI
https://doi.org/10.22214/ijraset.2025.68925
Primary Topic
Gaze Tracking and Assistive Technology
Type
article
Field-Weighted Citation Impact
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article

Hand Gesture Control Wheelchair for Disabled People

Shrikant Wagh, Sweta Biranje, Dipali Ahire, Samadhan Desale et al.
International Journal for Research in Applied Science and Engineering Technology
Gaze Tracking and Assistive Technology
article

Hand Gesture Control Wheelchair for Disabled People

Shrikant Wagh, Sweta Biranje, Dipali Ahire, Samadhan Desale, Shubham Tayde
article en

Abstract

Abstract: A new assistive technology, called the Hand Gesture Control Wheelchair (HGCW) system, is designed to help individuals with mobility impairments increase their independence and mobility. Thesystem consists of a wearable device with sensors that detect hand movements and Arduino microcontrollers for real-time data processing andwheelchair control.The HGCW system usesgesture recognition algorithms to translate hand gestures into corresponding wheelchair movements, such as forward, backward, left, and right turns, and communicates wirelessly with the wheelchair's control unit. The system is costeffective, customizable, and intuitive, making it accessible to a wide range of users. The HGCW system has the potential to revolutionize the way disabled individuals navigate their environment, empowering them to lead more independent and fulfilling lives. Through the adjustment of the head motion, the information goes wirelessly tothe microcontroller dependentmotor driving circuit to control the rotation of the WheelChairin five differentmodes, including FRONT, BACK, RIGHT, LEFT anda special STAND lockingdevice. The proposed system is assembled using components obtained from the local market and checked in the laboratory for efficient performance, the test results are included in this article.

International Journal for Research in Applied Science and Engineering TechnologyVol. 13(4)
University of Mumbai (IN)
Openalex Percentile: Top 94%
Gaze Tracking and Assistive Technology
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Hand Gesture Control Wheelchair for Disabled People — Shrikant Wagh, Sweta Biranje, et al. · International Journal for Research in Applied Science and Engineering Technology (2025) | TGRS Research Map | TGRS