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This research paper explores the possibility of using Electromyogram (EMG) signals for classifying point to point upper limb movements during dynamic muscle contraction in the context of human-robot interactions. Previous studies have mostly focused on classifiers for gesture recognition using steady state EMG. Only few studies have used non-steady-state EMG classifier when gross upper arm muscles...
In this work we propose a novel method based on sEMG signals, easy and fast to perform, administered with a robotic device to maximize repeatability and objectivity. Muscle fatigue, which is frequently experienced by healthy subjects, can be a highly debilitating symptom in case of neuromuscular disorders. Its assessment provides crucial information on the progression of the disability itself, on...
Forging is one of the foundational techniques for manufacturing mechanical components of mechanisms and machines. Forging factories produce essential elements which are being used in every part of the mechanical industry. But working environment of forging factories has noise, vibration, dust, etc. Because of these poor working conditions, accidents occur frequently. Moreover, the tasks in hot forging...
It may be difficult task for physically weak elderly, disabled and injured individuals to perform the day to day activities in their life. Therefore, many assistive devices have been developed in order to improve the quality of life of those people. Especially upper-limb power-assist exoskeletons have been developed since the upper limb motions are vital for the daily activities. Electromyography...
The multi-finger robot hand (IRA-Hand I) is specially designed for massage applications. Surface electromyographic (SEMG) evaluation of therapeutic massage effects using multi-finger robot hand are presented in this paper. After an isometric 50% MVC (maximum voluntary contraction) of human back muscles is performed for 90 seconds, SEMG signals of the subject show a muscular fatigue. A grasp-kneading...
Human-robot control interfaces have received increased attention during the last decades. With the introduction of robots in every-day life, especially in developing services for people with special needs (i.e. elderly or impaired persons), there is a strong necessity of simple and natural control interfaces. In this paper, electromyographic (EMG) signals from muscles of the human upper limb are used...
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