Hand Gesture Recognition Based Omnidirectional Wheelchair Control Using IMU and EMG Sensors
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The combination of IMU and EMG with SVM achieves 94.0% accuracy with 3% optimization.
“| IMU and EMG | SVM | 94.0% | 3% | 274 |”
From Recent advances in intelligent wearable systems: from multiscale biomechanical features towards human motion intent prediction (2026) · cites this paper as [274]
Cites
Myoelectric control systems—A survey
Asghari Oskoei, M., & Hu, H. (2007) · Biomedical Signal Processing and Control · doi:10.1016/j.bspc.2007.07.009 · Cited by 1,244 · see citing works
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A survey on wearable sensor modality centred human activity recognition in health care
Wang, Y., Cang, S., & Yu, H. (2019) · Expert Systems with Applications · doi:10.1016/j.eswa.2019.04.057 · Cited by 409 · see citing works
Real-Time Surface EMG Pattern Recognition for Hand Gestures Based on an Artificial Neural Network
Zhang, Z., Yang, K., Qian, J., & Zhang, L. (2019) · Sensors · doi:10.3390/s19143170 · Cited by 165 · see citing works
Machine Learning Methods in Smart Lighting Toward Achieving User Comfort: A Survey
Putrada, A. G., Abdurohman, M., Perdana, D., & Nuha, H. H. (2022) · IEEE Access · doi:10.1109/access.2022.3169765 · Cited by 101 · see citing works
“An inertia measurement unit (IMU) sensor is applicable because it has the function of an accelerometer and a gyroscope [284].”
BackgroundHand Gesture Recognition Using EMG-IMU Signals and Deep Q-Networks
Vásconez, J. P., Barona López, L. I., Valdivieso Caraguay, Á. L., & Benalcázar, M. E. (2022) · Sensors · doi:10.3390/s22249613 · Cited by 55 · see citing works
Chen, S., Peng, C., Yang, B., Lin, J., Zhou, L., Jiang, Z., Liu, Z., Liu, Y., & Tang, L. (2026) · npj Artificial Intelligence · doi:10.1038/s44387-026-00083-5 · Cited by 9 · see citing works
- Authors
- Kundu, A. S., Mazumder, O., Lenka, P. K., & Bhaumik, S.
- Affiliations
- Indian Institute of Engineering Science and Technology, Shibpur (IN)
- Corresponding author
- Kundu, Ananda Sankar
- ORCID
- Mazumder, Oishee
- Venue
- Journal of Intelligent & Robotic Systems
- Published
- 2017-10-14
- Volume
- 91
- Issue
- 3-4
- Pages
- 529-541
- ISSN
- 0921-0296 (ISSN-L)
- 1573-0409
- OpenAlex
- W2763560488
- Cited by
- 152
- References
- 1
- Citations by year
- 2026: 8 · 2025: 16 · 2024: 19 · 2023: 25 · 2022: 20 · 2021: 22 · 2020: 22 · 2019: 16 · 2018: 4
- FWCI
- 14.20
- Type
- journal article
- Language
- en
- Open access
- closed
- Locations
- Journal of Intelligent & Robotic Systems (publishedVersion)
- Topics
- Physical Sciences › Computer Science › Human-Computer Interaction › Hand Gesture Recognition Systems
- Physical Sciences › Engineering › Biomedical Engineering › Muscle activation and electromyography studies
- Physical Sciences › Computer Science › Computer Vision and Pattern Recognition › Context-Aware Activity Recognition Systems
- Keywords
- hand gesture recognition, omnidirectional wheelchair, wheelchair control, inertial measurement unit, myoelectric sensors, electromyography, extensor carpi radialis, flexor carpi radialis, assistive mobility
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