GIST Scholar
College of Life Sciences and Medical Engineering
Department of Biomedical Science and Engineering
1. Journal Articles
AdaptiveEdge: Adaptive Model Update for Motor-Intent Decoding With Knowledge Distillation and Efficient EMG Sensor System
- Type
- Article
- Citation
- IEEE Transactions on Neural Systems and Rehabilitation Engineering, v.33, pp.4137 - 4146
- Issued Date
- 2025-10
- Abstract
- Recent advancements in electromyogram (EMG)-based gesture decoding have enabled the development of active rehabilitation devices and enhanced human-machine interaction capabilities. While production-grade EMG sensors offer improved signal-to-noise ratios, their technical complexity necessitate innovative solutions to address inherent limitations. Additionally, EMG-based motor-intent decoders are prone to performance degradation due to factors such as fatigue, electrode shifts, and varying acquisition conditions. To address these challenges, we propose a low-cost EMG sensor grid alongside an advanced decoding strategy named AdaptiveEdge. This adaptive model update strategy integrates offline training with real-time on-device parameter updates, facilitating seamless adaptation to diverse EMG disturbance scenarios. Our comprehensive experiments demonstrated significant accuracy improvements: AdaptiveEdge yielded 10.18% higher accuracy (88.66%) when both offline and on-device update were utilized compared to 78.48% without offline training. Furthermore, AdaptiveEdge not only enhances decoding accuracy but also optimizes memory usage and energy consumption, making it particularly suitable for on-device applications such as neuroprosthetics. These advancements collectively pave the way for more effective and practical EMG-based devices, thereby improving human-machine interaction capabilities. The code associated with this study can be accessed here: https://github.com/deremustapha/AdpativeEdge © 2025 Elsevier B.V., All rights reserved.
- Publisher
- Institute of Electrical and Electronics Engineers Inc.
- ISSN
- 1558-0210
- Appears in Collections:
- Department of Biomedical Science and Engineering > 1. Journal Articles
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