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In recent years, the human-computer interaction (HCI) systems (especially the exoskeletal rehabilitation systems) based on surface electromyography (sEMG) signals have been an important research direction. As previous researches indicated, some disabled individuals are unable to contract their muscles by themselves, but their sEMG signals do exist. If we can develop a follow-up control system based...
To date, surface electromyography (sEMG) signals have already been widely and effectively used for the detection and recognition of human limb movements, and applied as control signals in human-computer interaction (HCI) systems. Current trends indicate that taking natural human motion mode as input signals to control peripheral equipments, such as a robot or a mechanical arm, is one of the major...
Surface electromyography (sEMG) signals could represent the contractions of muscle activity which contains approximately accurate information about joint movements and motor torque. In this study, a new gait cadence detection method was presented by using the sEMG signals of lower limb muscles. To detect the gait cadence, sEMG signals were collected from Tibialis Anterior (TA) and Gastronomies Lateral...
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