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Event-based Low-Power and Low-Latency Regression Method for Hand Kinematics from Surface EMG.

, , , and . IWASI, page 293-298. IEEE, (2023)

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Prediction of Thermal Hazards in a Real Datacenter Room Using Temporal Convolutional Networks., , , , , , and . DATE, page 1256-1259. IEEE, (2021)An Adaptive Dynamic Mixing Model for sEMG Real-Time ICA on an Ultra-Low Power Processor., , , , , , and . BioCAS, page 1-5. IEEE, (2023)Event-based Low-Power and Low-Latency Regression Method for Hand Kinematics from Surface EMG., , , and . IWASI, page 293-298. IEEE, (2023)Motor-Unit Ordering of Blindly-Separated Surface-EMG Signals for Gesture Recognition., , , , , and . SYSINT, volume 546 of Lecture Notes in Networks and Systems, page 518-529. Springer, (2022)A Microcontroller is All You Need: Enabling Transformer Execution on Low-Power IoT Endnodes., , , , and . COINS, page 1-6. IEEE, (2021)sEMG Neural Spikes Reconstruction for Gesture Recognition on a Low-Power Multicore Processor., , , , , , and . BioCAS, page 704-708. IEEE, (2022)Online Unsupervised Arm Posture Adaptation for sEMG-based Gesture Recognition on a Parallel Ultra-Low-Power Microcontroller., , , , , and . BioCAS, page 1-5. IEEE, (2023)Temporal Variability Analysis in sEMG Hand Grasp Recognition using Temporal Convolutional Networks., , , , and . AICAS, page 228-232. IEEE, (2020)sEMG-based Regression of Hand Kinematics with Temporal Convolutional Networks on a Low-Power Edge Microcontroller., , , , , , , and . COINS, page 1-6. IEEE, (2021)TCN Mapping Optimization for Ultra-Low Power Time-Series Edge Inference., , , , , , , and . ISLPED, page 1-6. IEEE, (2021)