An EMG-Based Control for an Upper-Limb Power-Assist Exoskeleton Robot

By Kazuo Kiguchi, Yoshiaki Hayashi. IEEE Transactions on Systems Man and Cybernetics Part B (Cybernetics), 2012

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Deep Learning for EMG-based Human-Machine Interaction: A Review (2021, methodology): “sEMG has been widely used for hand gesture classification [2], [3], silent speech recognition [4], [5], stroke rehabilitation [6], [7], robot control [8], [9], and other applications, mainly because it is cheap and easy to collect and it provides a method for more natural human-machine collaboration”
A Review of Intent Detection, Arbitration, and Communication Aspects of Shared Control for Physical Human-Robot Interaction (2018, methodology): “Finally, we consider the example of a human wearing a seven degrees-of-freedom (DoF) upper-limb exoskeleton in work done by Kiguchi and Hayashi [30].”
Adaptive Impedance Control for an Upper Limb Robotic Exoskeleton Using Biological Signals (2017, background): “Therefore, many efforts should be made into employing variable impedance property into exoskeletons, orthoses, or prostheses such that naturally human-like mechanics can be produced [12], [13].”