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Sign language recognition (SLR) could help the deaf better communicate with individuals who do not understand sign language, which could also be used in human-computer interaction (HCI). In this paper, surface Electromyography (sEMG) signals and accelerometer (ACC) signals are acquired from the right forearm, wrist and the back of the hand for 18 isolated Chinese Sign Language (CSL) signs. A new position...
Myoelectric control with surface EMG signal has achieved great success in clinics, but only limited to the control of 2-Degrees-of-freedom prosthesis. With the appearance of multiple-channel and high-density EMG system and the advances of pattern recognition technology, it becomes possible to control a multi-degree smart prosthesis using EMG signals. However, it requires high performance EMG systems...
Electromyography is gaining prominence in wearable electronic devices with improved design of surface electrodes and increased demand in various fields such as health monitoring, prosthetic control and assistive technology. Surface electromyogram signals have been analyzed using conventional time-domain, frequency-domain, and time-frequency domain features as well as high-order spectral analysis since...
In this paper, we propose a muscle gesture-computer interface (MGCI) system for a five-fingered robotic hand control employing a commercial wearable MYO gesture armband. Eight channels of surface EMG (sEMG) signals were acquired and segmented. Then four levels of Daubechies 5 Wavelet family were performed to analyze the EMG signal. Totally 72 features were extracted from the EMG raw data for 16 hand...
In order to early diagnosis and treatment of knee abnormalities, in this study an automated diagnosis system using wearable EMG and goniometer sensors is proposed. Eight different classification techniques are investigated with a set of time-domain features. The experiments are conducted with 22 subjects' data and the best accuracy of 97.17% is achieved based on the Bagged Decision Trees classifier...
Fatigue is a phenomena associated with reduction of maximum force in muscles while performing functional activities. Assessment of fatigue is important in the field of clinical conditions, rehabilitation and sports. In this work, an attempt has been made to discriminate fatigue and non-fatigue conditions using cyclostationary analysis. The surface electromyography (sEMG) signals are recorded from...
In this work, an attempt has been made to analyze surface electromyography signals (sEMG) by estimating maximum singular value. sEMG signals are recorded from biceps brachii muscles of 50 healthy volunteers during repetitive elbow flexion and extension exercise. Maximum singular values are estimated from the signals. The results show a decrease in MSV at the point of first muscle discomfort experienced...
To propose a multi-domain feature extraction method of surface EMG signals is of great significance to EMG-based human-computer interface (HCI). In this paper, nonnegative Tucker decomposition (NTD)-one model of nonnegative tensor factorization (NTF)-is used to extract multidomain features of sEMG signals for classification. In the first step the sEMG data are transformed into multidimensional information...
Recognition of the singularity such as the peculiarity or the inexpertness of the unskilled operator is necessary for safe operation. In this paper, based on the surface EMG signals, we propose a gesture recognition method and a novel distinction method of the singularity in operation. In order to evaluate the proposed gesture recognition and singularity distinction methods, experiments were carried...
It is necessary to take the apparent movement recognition quantitatively, objectively and simply and definitely to design the tactile display of touch sensor which used the apparent movement. In previous paper, we reported the possibility that the characteristic movement of a body site was produced when we presented the apparent movement to the subjects who were in the experiment environment, keeping...
The paper proposed a locomotion simulation method of the lower limb EMG-prosthesis based on OpenGL. Firstly, the raw surface EMG and real knee angle are stored, and the features of surface EMG are extracted after preprocessed and transformed with Wavelet Packet. Secondly, the model of EMG is built with Support Vector Machine, and the knee angles of prosthesis are forecasted during the whole gait cycle...
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