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Capturing Dynamic Finger Gesturing with High-resolution Surface Electromyography and Computer Vision

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Developing a real-time hand-gesture recognition technique for wheelchair control.

Md Rafiul Huda¹, Md Liakot Ali¹, Muhammad Sheikh Sadi¹

¹Institute of Information and Communication Technology (IICT), Bangladesh University of Engineering and Technology (BUET), Dhaka, Bangladesh.

|April 24, 2025

Summary

This study introduces a novel mathematical model for smart wheelchair control using hand gestures. The efficient, real-time system enhances mobility for users with motor disabilities, improving safety and independence.

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Area of Science:

Biomedical Engineering
Human-Computer Interaction
Robotics

Background:

Motor disabilities necessitate wheelchair use, but conventional systems present challenges in safe navigation and independent mobility.
Existing smart wheelchair control methods often require complex gestures or have limitations in real-world application.
There is a need for intuitive, efficient, and low-cost control solutions for wheelchair users.

Purpose of the Study:

To present a new mathematical model for real-time hand gesture recognition for smart wheelchair control.
To develop a user-friendly system that requires minimal hand movement for wheelchair operation.
To enhance independent mobility and safety for individuals with motor disabilities.

Main Methods:

A mathematical model was developed based on the positions and distances of significant hand landmarks.
Critical thresholds were determined using a substantial dataset of hand samples.
The system was designed for efficient and real-time processing of hand gestures.

Main Results:

The proposed hand gesture recognition model demonstrated high success rates and performance metrics.
The system proved effective for hands of various sizes and in diverse environmental conditions (indoor/outdoor, sunlight).
The method requires less hand movement, offering increased user flexibility compared to existing techniques.

Conclusions:

The developed mathematical model offers an efficient and robust solution for smart wheelchair control via hand gestures.
This technology has the potential to significantly improve the quality of life for wheelchair users by enhancing their mobility and independence.
The system's performance indicates a promising advancement in assistive technology for individuals with motor disabilities.