K-Nearest Neighbours and Ensemble Based Real-Time Hand Gesture Recognition for Powered Wheelchair

Iqbal, Hassam; Zheng, Jinchuan; Chai, Rifai; Chandrasekaran, Sivachandran

doi:10.1109/icamechs59878.2023.10272954

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Cited by 2 publications

References 15 publications

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Cooperative User Interface for AGV – Proof of Concept

Zyzak,

Smołka,

Gaj

et al. 2024

Communications in Computer and Information Science

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Cooperative User Interface for AGV – Proof of Concept

Zyzak,

Smołka,

Gaj

et al. 2024

Communications in Computer and Information Science

View full text Add to dashboard Cite

Electric powered wheelchair control using user-independent classification methods based on surface electromyography signals

Iqbal,

Zheng,

Chai

et al. 2023

Med Biol Eng Comput

Self Cite

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Wheelchairs are one of the most popular assistive technology (AT) among individuals with motor impairments due to their comfort and mobility. People with finger problems may find it difficult to operate wheelchairs using the conventional joystick control method. Therefore, in this research study, a hand gesture-based control method is developed for operating an electric-powered wheelchair (EPW). This study selected a comfort-based hand position to determine the stop maneuver. An additional exploration was undertaken to investigate four gesture recognition methods: linear regression (LR), regularized linear regression (RLR), decision tree (DT), and multi-class support vector machine (MC-SVM). The first two methods, LR and RLR, have promising accuracy values of 94.85% and 95.88%, respectively, but each new user must be trained. To overcome this limitation, this study explored two user-independent classification methods: MC-SVM and DT. These methods effectively addressed the finger dependency issue and demonstrated remarkable success in recognizing gestures across different users. MC-SVM has about 99.05% of both precision and accuracy, and the DT has about 97.77% accuracy and precision. All six participants were successful in controlling the EPW without any collisions. According to the experimental results, the proposed approach has high accuracy and can address finger dependency issues.

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K-Nearest Neighbours and Ensemble Based Real-Time Hand Gesture Recognition for Powered Wheelchair

Cited by 2 publications

References 15 publications

Cooperative User Interface for AGV – Proof of Concept

Cooperative User Interface for AGV – Proof of Concept

Electric powered wheelchair control using user-independent classification methods based on surface electromyography signals

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