A myosignal-based powered exoskeleton system

By J. Rosen, M. Brand, M. Fuchs, M. Arcan. IEEE Trans. Syst. Man Cybern. Part A, 2001

463 citations recorded by the source corpus.

How researchers see this paper

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A Human--Exoskeleton Interface Utilizing Electromyography (2008, methodology): “The parameters of the Hill-based state equation have been solved in [9] for a single extensor and flexor muscle of the human upper arm.”
A critical review of interfaces with the peripheral nervous system for the control of neuroprostheses and hybrid bionic systems (2005, methodology): “Rosen et al. (2001) developed a ‘myoprocessor’ based on the Hill model of muscular activation to extract force/torque information from muscle information.”
Upper-Limb Powered Exoskeleton Design (2007, background): “Although much less complex from both mechanical and control standpoints , they convincingly demonstrated that a novel method of higher level control using surface electromyographic (sEMG) signals as the primary command signal was viable [12], [13].”
Rehabilitation Robotics: Performance-Based Progressive Robot-Assisted Therapy (2003, background): “EMG signals were also proposed in exoskeletal devices to augment the human strength (Kazerooni, 1990; Rosen et al., 2001 ) and as pattern classification (Graupe, 1983; Fukuda et al., 1998; 2003; Peckham, 1980; Triolo, 1985).”
A Review of Classification Techniques of EMG Signals during Isotonic and Isometric Contractions (2016, methodology): “In 2001, Rosen and his colleagues presented a method to control a powered exoskeleton arm system using the model [15].”