Results 161 to 170 of about 9,497 (203)

A Novel Method of sEMG Signal Segmentation

2013 IEEE 9th International Conference on Mobile Ad-hoc and Sensor Networks, 2013
In our lower limb rehabilitation system, the surface electromyography (sEMG) signal is adopted as the signal of human-machine interface. In order to be able to control rehabilitation robot in real time, the paper proposes a new and real-time sEMG signal segmentation method P&WND that is accomplished by way of the analysis of peak information and adding
Lei Shi, Zhen Liu, Qiang Wang
openaire   +2 more sources

Speech recognition using facial sEMG

2017 IEEE International Conference on Signal and Image Processing Applications (ICSIPA), 2017
This paper presents a study of speech recognition based on electromyographic biosignals captured from the articulatory muscles in the face using surface electrodes. This paper compares the speech recognition system for spoken English and Malay words by a group of Malay native speakers.
Mok Win Soon, Muhammad Ikmal Hanafi Anuar, Mohamad Hafizat Zainal Abidin, Ahmad Syukri Azaman, Norliza Mohd. Noor   +4 more
openaire   +2 more sources

sEMG-based lip shapes recognition

2019 IEEE International Conference on Computational Intelligence and Virtual Environments for Measurement Systems and Applications (CIVEMSA), 2019
With the development of intelligent technology, the need for more effective and practical human-computer interaction becomes more and more urgent. The objective of this paper is to use the facial surface electromyography (sEMG) for lip shapes recognition.
Mingfeng Tang, Jianhai Zhang, Li Zhu 0005   +2 more
openaire   +2 more sources

Towards High Density sEMG (HD-sEMG) Acquisition Approach for Biometrics Applications

2019
This is the third chapter of this book dedicated to EMG biometrics modality. The purpose is to highlight a Multi-Channel technique based on a High Density sEMG (HD-sEMG) acquisition. In fact, HD-sEMG recording systems can be used to overcome the limitation of classical bipolar and monopolar sEMG recording systems.
Al Harrach, Mariam, Boudaoud, Sofiane, Nait-Ali, Amine   +2 more
openaire   +3 more sources

Pattern Mining of Multichannel sEMG for Tremor Classification

IEEE Transactions on Biomedical Engineering, 2010
Tremor is defined as the involuntary rhythmic or quasi-rhythmic oscillation of a body part, resulting from alternating or simultaneous contractions of antagonistic muscle groups. While tremor may be physiological, those who have disabling pathological tremors find that performing typical activities for daily living to be physically challenging and ...
Paulito Palmes, Wei Tech Ang, Ferdinan Widjaja, Louis C. S. Tan, Wing Lok Au   +4 more
openaire   +3 more sources

Analyzing an sEMG signal using wavelets

2009
Electromyography (EMG) is an experimental technique developed with the purpose of detecting muscle movement. The technique generates a signal that is formed by impulses of muscle fibers during the movement of muscles. The generated signal is very sensitive and can therefore be influenced by several external factors altering its shape and ...
Bastiaensen, Y., Schaeps, T., Baeyens, Jean-Pierre   +2 more
openaire   +2 more sources

Electrode distance and magnitude of SEMG

Proceedings of the Second Joint 24th Annual Conference and the Annual Fall Meeting of the Biomedical Engineering Society] [Engineering in Medicine and Biology, 2002
This paper reports experimental research undertaken to study the effect of variation of inter-electrode distance on the Surface Electromyogram (SEMG). The experiments were conducted on ten healthy subjects and they performed isometric contraction of their biceps of the right arm at 20, 50 and 80% of their maximal voluntary contraction (MVC).
D.K. Kumar, A. Melaku
openaire   +1 more source

Design of SEMG Recognition System

Advanced Materials Research, 2011
Surface electromyography (sEMG) is recorded from the surface of skeleton muscle by electrodes, it is the bioelectricity discharged by neuromuscular activities. This paper designed a data acquisition platform of sEMG, which contains hardware module and software module. The hardware contains electrodes, microcomputer, power and filters.
Jing Jin Xie, Lei Zuo
openaire   +1 more source

Study on Online Gesture sEMG Recognition

2007
We have realized an online gesture recognition platform for hand gestures using 2-channel surface EMG signals acquired from the forearm. Several features, such as AMV, AMV ratio and fourth-order AR model coefficients are extracted from the sEMG signal and the gesture segments are recognized with a Weighted Euclidean Distance Classifier.
Zhangyan Zhao, Xiang Chen 0004, Xu Zhang 0002, Jihai Yang, Youqiang Tu, Vuokko Lantz, Kongqiao Wang   +6 more
openaire   +1 more source

An improved method for sEMG segmentation

2012 24th Chinese Control and Decision Conference (CCDC), 2012
An improved method of continuous action's sEMG automatic segmentation is presented in this paper. The maximum value and the integral value of local area are regarded as the distinguishing standard for start or stop action area, and search area adjusted dynamicly can speed up the sEMG segmentation. The experiment results show that, the methods which are
null Li Lin, null Wang Jianhui, null Dong Liang   +2 more
openaire   +1 more source