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Muscle fatigue is commonly associated with the musculoskeletal disorder problem. Previously, various techniques were proposed to index the muscle fatigue from electromyography signal. However, quantitative measurement is still difficult to achieve. This study aimed at proposing a method to estimate the degree of muscle fatigue quantitatively. A fatigue model was first constructed using handgrip dynamometer...
Long-time exposure to repetitive or monotonous work is associated with increased risk for musculoskeletal disorders that are due to muscle fatigue. Previously, researchers reported that muscle fatigue can be estimated using a low-frequency band of an SEMG signal. However, these studies were performed exclusively during static contraction tasks. The objective of the present study was to evaluate and...
Surface Electromyography (SEMG) analysis of dynamic contraction is becoming more important to understand the muscle condition in real life activities. The objective of the study is to discover the relationship between the changes of amplitude and frequency at high and low frequency bands. Continuous Wavelet Transform (CWT) is utilized in order to process the SEMG data in both time and frequency domain...
This paper describes a new real-time learning method for the development of a robust motion discriminating method from an EMG signal, to adjust to the change in user's characteristics. This method is done under the assumptions that the input motions are continuous, and the teaching motions are ambiguous in nature, therefore, automatic addition, elimination and selection of learning data are possible...
Nowadays, the man-machine interfaces are becoming more important in our interaction with robotic systems. One particular case is on prosthetic devices, where the need of "biofeedback" is of vital importance to achieve subconscious control of these devices. In order to provide this feedback, so the device can be included into the user's body image, we use electrical stimulation as a substitute...
The purpose of our research is to build a system for mutual adaptation between a user and assistive devices for restoration of motor function. To build such system, it is necessary to know human's motion patterns. In this paper, as the first step, we investigated human motion characteristic on human-machine system like EMG (electromyogram) prosthetic hand and EMG to motion classifier system. In the...
Mutual adaptation between man and machine is necessary for the development of more efficient devices that allows easy adaptation. The interaction with intelligent machines involves adaptation processes from both the user and the machine. The human body has the ability to change its body schema to include external tools in it, using this fact we proposed the design of intelligent machines with biofeedback...
The importance of providing with biofeedback when interacting with man-machine interfaces has to be considered when developing new applications, in particular, with externally powered prosthetic devices. In this study we look to develop a tactile biofeedback system for this purpose using electrical stimulation. In this paper we study the ability of the human body to recognize different patterns of...
The need of biofeedback in man-machine interfaces is of vital importance for the development of subconscious control with external devices. In order to obtain extended proprioception, in other words, to include the external devices into the body schema, we need to provide with more feedback channels to the human body. In this study we look into the use of electrical stimulation as biofeedback and...
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