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

Kiguchi, Kazuo; Hayashi, Yoshiaki

doi:10.1109/tsmcb.2012.2185843

Cited by 480 publications

(244 citation statements)

References 32 publications

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“…Several solutions have been proposed to provide adaptive control between users: adjusting impedance (Kiguchi & Hayashi, 2012), myoprocessors with optimization ("gene" modelling) (Calvallaro et al, 2006), adaptive gain (Kang & Wang, 2013), and neuro fuzzy modifiers (single) ).…”

Section: Variability Between Personsmentioning

confidence: 99%

Current Work in the Human-Machine Interface for Ergonomic Intervention with Exoskeletons

Schnieders

Stone

2017

International Journal of Robotics Applications and Technologies

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This literature review of exoskeleton design provides a brief history of exoskeleton development, discusses current research of exoskeletons with respect to the innate human-machine interface, and the incorporation of exoskeletons for ergonomic intervention, and offers a review of needed future work. Development of assistive exoskeletons began in the 1960's but older designs lacked design for human factors and ergonomics and had low power energy density and power to weight ratios. Advancements in technology have spurred a broad spectrum of research aimed at enhancing human performance and assisting in rehabilitation. The review underwent a holistic and extensive search and provides a reflective snapshot of the state of the art in exoskeleton design as it pertains to the incorporation of exoskeletons for ergonomic intervention. Some of the remaining challenges include improving the energy density of exoskeleton power supplies, improving the power to weight ratio of actuation devices, improving the mechanical human-machine interface, and dealing with variability between users. Disciplines Industrial Engineering | Systems Engineering CommentsThis article is published as Schnieders, Thomas Michael, and Richard T. ABSTRACTThis literature review of exoskeleton design provides a brief history of exoskeleton development, discusses current research of exoskeletons with respect to the innate human-machine interface, and the incorporation of exoskeletons for ergonomic intervention, and offers a review of needed future work. Development of assistive exoskeletons began in the 1960's but older designs lacked design for human factors and ergonomics and had low power energy density and power to weight ratios. Advancements in technology have spurred a broad spectrum of research aimed at enhancing human performance and assisting in rehabilitation. The review underwent a holistic and extensive search and provides a reflective snapshot of the state of the art in exoskeleton design as it pertains to the incorporation of exoskeletons for ergonomic intervention. Some of the remaining challenges include improving the energy density of exoskeleton power supplies, improving the power to weight ratio of actuation devices, improving the mechanical human-machine interface, and dealing with variability between users.

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Section: Variability Between Personsmentioning

confidence: 99%

Current Work in the Human-Machine Interface for Ergonomic Intervention with Exoskeletons

Schnieders

Stone

2017

International Journal of Robotics Applications and Technologies

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“…At the beginning of the 1990s, to eliminate these problems, the use sEMG signals was suggested because an electromyographic signal from the striated muscles of a healthy human depends only on the intentions of the person themselves and directly reflects the level of muscular activity in reviews real-time, allowing the possibility to predict the desired movement-intention before the muscle actually starts to contract (thus the biocontrol signal delay is eliminated) [85,86]. In recent years, with the development of modern technology, this method has been widely used for exoskeleton biocontrol [79, [87][88][89][90][91]. A computer records the first signs of electromyographic activity before the actual movement begins and transfers these signals to the device drives; as a result, the exoskeleton drives operate synchronously with the muscles that must take part in the planned movement, intensifying their action [10].…”

Section: The Use Of Superficial Electromyogram Signals For Exoskeletomentioning

confidence: 99%

“…The technologies of exoskeleton myocontrol are constantly being improved. For instance, a method of sEMG control has been proposed based on impedance change, as this allows not only the features of the electromyographic signal to be taken into account, but also the properties of the human body [87]. The authors proved that this method is simple enough to adjust for any user and helps effectively to operate the robotic device when the user makes targeted movements.…”

Section: The Use Of Superficial Electromyogram Signals For Exoskeletomentioning

confidence: 99%

Surface Electromyography: Its Role and Potential in the Development of Exoskeleton (Review)

Rukina¹,

Кузнецов²,

Борзиков³

et al. 2016

Sovrem Tehnol Med

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This study evaluates the effectiveness of superficial electromyography (sEMG) in the development of biocontrolled exoskeletons, through an analysis based on the findings of foreign and domestic literature on the subject. A brief historical background is provided. The features reviewed include the registration, processing and analysis of the signals from superficial electromyograms in respect of biocontrol. It is demonstrated that testing exoskeleton devices in association with sEMG provides an informative analytical tool for assisting in the optimization of exoskeleton design in order to reduce the metabolic "cost" of locomotion. The use of signals from superficial myograms during the operation of an exoskeleton have also been reviewed. The role of myography in studies of the fundamental physical processes involved while adapting to an exoskeleton is described. We conclude that the potential for the use of sEMG in respect of biocontrol is related to the new technical and mathematical possibilities available for the registration, transformation and classification of bioelectrical signals from the muscles, and the isolation of their patterns of muscular activity.

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“…Previously, sEMG signals have been successfully used in several fields such as robot [13] and wheelchair [14] controlling, medicine [15], development of prosthesis [16,17], fatigue detection [18,19,20], force prediction [21], etc. Researchers also have used EMG to develop a new kind of human computer interface, known as Muscle Computer Interface (muCI) [22,12,23] for recognition of hand gestures [24,25], body languages [26] and facial expressions [11].…”

Section: Introductionmentioning

confidence: 99%

Recognition of sketching from surface electromyography

Chen

Zhong

Gong

et al. 2017

Neural Comput & Applic

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The main objective of this study is to recognize sketching precisely and effectively in human computer interaction. A surface electromyography (sEMG) based sketching recognition method is proposed. We conducted an experiment in which we recorded the sEMG signals from the forearm muscles of two participants who were instructed to sketch seven basic one-stroke shapes. Subsequently, seven features of the sEMG time domain were extracted. After reducing data dimensionality using principal component analysis, these features were used as input vectors to a sketching recognition model based on Support Vector Machines (SVM). The performance of this model was compared to two other recognition models based on Multilayer perceptron (MLP) neural networks and Self Organization Feature Map (SOFM) neural networks. The average recognition rates for the seven basic one-stroke shapes of two participants achieved by the SVM-based and MLP-based models were both 98.5% in the test set, which were slightly superior to the performance of the SOFM classifier. Our results demonstrate the feasibility of converting forearm sEMG signals into sketching patterns.

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

Cited by 480 publications

References 32 publications

Current Work in the Human-Machine Interface for Ergonomic Intervention with Exoskeletons

Current Work in the Human-Machine Interface for Ergonomic Intervention with Exoskeletons

Surface Electromyography: Its Role and Potential in the Development of Exoskeleton (Review)

Recognition of sketching from surface electromyography

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