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Real-Time Hand Gesture Recognition Using Temporal Muscle Activation Maps of Multi-Channel Semg Signals.

, , , , , and . ICASSP, page 1299-1303. IEEE, (2020)

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Study of impedance spectra for dry and wet EarEEG electrodes., and . EMBC, page 3161-3164. IEEE, (2015)Developing an online steady-state visual evoked potential-based brain-computer interface system using EarEEG., , , , , , , and . EMBC, page 2271-2274. IEEE, (2015)Characterization of Dry-Contact EEG Electrodes and an Empirical Comparison of Ag/AgCl and IrO2 Electrodes., and . EMBC, page 3127-3130. IEEE, (2022)Decoding of Hand Gestures from Electrocorticography with LSTM Based Deep Neural Network., , , , , and . EMBC, page 420-423. IEEE, (2021)Low-cost Active Dry-Contact Surface EMG Sensor for Bionic Arms., , , , , and . SMC, page 3327-3332. IEEE, (2020)High-density ear-EEG., and . EMBC, page 2394-2397. IEEE, (2017)Real-Life Dry-Contact Ear-EEG., and . EMBC, page 5470-5474. IEEE, (2018)Discrimination of Sleep Spindles in Ear-EEG., , , , and . EMBC, page 6697-6700. IEEE, (2019)A Knowledge Distillation Framework for Enhancing Ear-EEG Based Sleep Staging with Scalp-EEG Data., , , , and . SMC, page 514-519. IEEE, (2023)A wearable ear-EEG recording system based on dry-contact active electrodes., , , , , and . VLSI Circuits, page 1-2. IEEE, (2016)