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| 001 | 1033656 | ||
| 005 | 20250203103355.0 | ||
| 037 | _ | _ | |a FZJ-2024-06528 |
| 041 | _ | _ | |a English |
| 100 | 1 | _ | |a Neftci, Emre |0 P:(DE-Juel1)188273 |b 0 |u fzj |
| 111 | 2 | _ | |a Artificial Intelligence BioMedical Circuits And Systems For Health |g Biocas IEEE |c Toronto |d 2023-10-19 - 2023-10-21 |w Canada |
| 245 | _ | _ | |a Online Transformers with Spiking Neurons for Fast Prosthetic Hand Control |
| 260 | _ | _ | |c 2023 |
| 336 | 7 | _ | |a Conference Paper |0 33 |2 EndNote |
| 336 | 7 | _ | |a INPROCEEDINGS |2 BibTeX |
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| 500 | _ | _ | |a Also published in 2023 IEEE Biomedical Circuits and Systems Conference (BioCAS), Electronic ISBN:979-8-3503-0026-0Print on Demand(PoD) ISBN:979-8-3503-0027-7 |
| 520 | _ | _ | |a Fast and accurate online processing is essential for smooth prosthetic hand control with Surface Electromyography signals (sEMG). Although transformers are state-of-the-art deep learning models in signal processing, the self-attention mechanism at the core of their operations requires accumulating data for large time-windows. They are therefore not suited for online signal processing. In this paper, we use an attention mechanism with sliding windows that allows a transformer to process sequences element-by-element. Moreover, we increase the sparsity of the network using spiking neurons. We test the model on the NinaproDB8 finger position regression dataset. Our model sets its new state-of-the-art in terms of accuracy on NinaproDB8, while requiring only very short time windows of 3.5 ms at each inference step, and reducing the number of synaptic operations up to a factor of ×5.3 thanks to the spiking neurons. Our results hold great promises for wearable online sEMG processing systems for prosthetic hand control. |
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| 700 | 1 | _ | |a Finkbeiner, Jan Robert |0 P:(DE-Juel1)190112 |b 1 |u fzj |
| 700 | 1 | _ | |a Leroux, Nathan |0 P:(DE-Juel1)194421 |b 2 |u fzj |
| 856 | 4 | _ | |u https://ieeexplore.ieee.org/document/10388996 |
| 856 | 4 | _ | |u https://juser.fz-juelich.de/record/1033656/files/Online_Transformers_with_Spiking_Neurons_for_Fast_Prosthetic_Hand_Control.pdf |y Restricted |
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| 914 | 1 | _ | |y 2024 |
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