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Gesture-Controlled Automated Wheelchair Using Arduino
Authors
1 Assistant Professor, Department of ECE, BGS institute of Technology, Adichunchanagiri University, B G Nagar, Karnataka, India. 2 3 4 5 Students, Department of ECE, BGS institute of Technology, Adichunchanagiri University, B G Nagar. Karnataka, India.
Article Information
- DOI
- No Doi
- Published In
- Year 2025 · Volume 2 · Issue 2
- Published Online
- May-August 2025
- Pages
- 21-25
- Article Type
- Original Article
- Check for updates
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References
[1] S. Agarwal and A. Singh, “Design and implementation of hand gesture-controlled wheelchair,” International Journal of Engineering and
Advanced Technology (IJEAT), vol. 7, no. 6,pp. 75–78, 2018.
[2] S. Patil and V. Tatiya, “Smart wheelchair using gesture and voice recognition,” International Journal of Research in Engineering, Science
and Management, vol. 2, no. 5, pp. 156– 159, 2019.
[3] H. Borkar and A. Patil, “Arduino based gesture-controlled wheelchair,” International Research Journal of Engineering and Technology
(IRJET), vol. 7, no. 4, pp. 437–440, 2020.
[4] S. Rana and M. Bera, “Gesture based wheelchair control system using accelerometer and Arduino,” International Journal of Computer
Applications, vol. 162, no. 3, pp. 1–5, 2017.
[5] S. Sharma and R. Yadav, “Design of smart wheelchair using gesture control,” International Journal of Scientific & Engineering Research,
vol. 7, no. 5, pp. 229–233, 2016.
[6] M. Tiwari and A. Dubey, “Gesture controlled robotic arm using Arduino,” International Journal of Engineering Development and Research
(IJEDR), vol. 7, no. 2, pp. 891– 895, 2019.
[7] A. Joshi and R. Sharma, “Wireless hand gesture-controlled wheelchair for physically disabled,” International Journal of Innovative
Research in Computer and Communication Engineering (IJIRCCE), vol. 6, no. 4, pp. 7229–7233, 2018.
[8] M. Singh and R. Kumar, “Flex sensor-based hand gesture-controlled robot using Arduino,” International Journal of Recent Technology
and Engineering (IJRTE), vol. 8, no. 1, pp. 505–509, 2019.
[9] A. Verma and S. Gupta, “Sensor-based human-computer interaction for wheelchair navigation,” in Proc. Int. Conf. Intelligent Computing
and Control Systems (ICICCS), pp. 1135–1140, 2021.
[10] R. Jain and K. Patel, “Real-time gesture recognition for assistive technology using Arduino and flex sensors,” International Journal of
Science and Research (IJSR), vol. 9, no. 3, pp. 1457–1460, 2020.
[11] S. Kumar and P. Singh, “Accelerometer-based gesture control wheelchair with Arduino Uno,” Journal of Electrical and Electronics
Engineering, vol. 14, no. 3, pp. 55–60, 2019.
[12] M. A. Khan and S. M. Rizvi, “Gesture controlled wheelchair using accelerometer and Bluetooth module,” International Journal of Computer
Applications, vol. 163, no. 2, pp. 25–29,2017.
Advanced Technology (IJEAT), vol. 7, no. 6,pp. 75–78, 2018.
[2] S. Patil and V. Tatiya, “Smart wheelchair using gesture and voice recognition,” International Journal of Research in Engineering, Science
and Management, vol. 2, no. 5, pp. 156– 159, 2019.
[3] H. Borkar and A. Patil, “Arduino based gesture-controlled wheelchair,” International Research Journal of Engineering and Technology
(IRJET), vol. 7, no. 4, pp. 437–440, 2020.
[4] S. Rana and M. Bera, “Gesture based wheelchair control system using accelerometer and Arduino,” International Journal of Computer
Applications, vol. 162, no. 3, pp. 1–5, 2017.
[5] S. Sharma and R. Yadav, “Design of smart wheelchair using gesture control,” International Journal of Scientific & Engineering Research,
vol. 7, no. 5, pp. 229–233, 2016.
[6] M. Tiwari and A. Dubey, “Gesture controlled robotic arm using Arduino,” International Journal of Engineering Development and Research
(IJEDR), vol. 7, no. 2, pp. 891– 895, 2019.
[7] A. Joshi and R. Sharma, “Wireless hand gesture-controlled wheelchair for physically disabled,” International Journal of Innovative
Research in Computer and Communication Engineering (IJIRCCE), vol. 6, no. 4, pp. 7229–7233, 2018.
[8] M. Singh and R. Kumar, “Flex sensor-based hand gesture-controlled robot using Arduino,” International Journal of Recent Technology
and Engineering (IJRTE), vol. 8, no. 1, pp. 505–509, 2019.
[9] A. Verma and S. Gupta, “Sensor-based human-computer interaction for wheelchair navigation,” in Proc. Int. Conf. Intelligent Computing
and Control Systems (ICICCS), pp. 1135–1140, 2021.
[10] R. Jain and K. Patel, “Real-time gesture recognition for assistive technology using Arduino and flex sensors,” International Journal of
Science and Research (IJSR), vol. 9, no. 3, pp. 1457–1460, 2020.
[11] S. Kumar and P. Singh, “Accelerometer-based gesture control wheelchair with Arduino Uno,” Journal of Electrical and Electronics
Engineering, vol. 14, no. 3, pp. 55–60, 2019.
[12] M. A. Khan and S. M. Rizvi, “Gesture controlled wheelchair using accelerometer and Bluetooth module,” International Journal of Computer
Applications, vol. 163, no. 2, pp. 25–29,2017.
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