2007 IEEE International Conference on Robotics and Biomimetics (ROBIO) 2007
DOI: 10.1109/robio.2007.4522381
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Electromyography sensor based control for a hand exoskeleton

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Cited by 85 publications
(58 citation statements)
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“…Mean absolute value (MAV) is used to extract the features of the EMG signal due to its Motor Control Figure 8. Structure of the control method with blind source separation [26] effectiveness in real time control compared with other methods such as mean absolute value slope, zero crossing, slope sign changes or wave form length [16,18]. The hierarchical controller consists mainly of three stages: input signal selection stage, posture selection region stage and neuro-fuzzy control stage.…”
Section: Emg Based Neuro-fuzzy Control Methodsmentioning
confidence: 99%
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“…Mean absolute value (MAV) is used to extract the features of the EMG signal due to its Motor Control Figure 8. Structure of the control method with blind source separation [26] effectiveness in real time control compared with other methods such as mean absolute value slope, zero crossing, slope sign changes or wave form length [16,18]. The hierarchical controller consists mainly of three stages: input signal selection stage, posture selection region stage and neuro-fuzzy control stage.…”
Section: Emg Based Neuro-fuzzy Control Methodsmentioning
confidence: 99%
“…The hand exoskeleton robot with EMG control has been developed by researchers from the University of Berlin, Germany [26]. This mainly focuses to use by patients who have limited hand mobility.…”
Section: Emg Based Control Of Hand Exoskeletonmentioning
confidence: 99%
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