Results 221 to 230 of about 39,692 (260)

sEMG pattern classification using hierarchical Bayesian model

2013 35th Annual International Conference of the IEEE Engineering in Medicine and Biology Society (EMBC), 2013
This work addresses surface electromyogram (sEMG)-based muscle pattern classification using a generative model. By using a hierarchical Bayesian model, the proposed approach constructs an overall process model of recorded sEMG signals. By inferring probabilistically latent neural states which governs a collection of training sEMG data, classification ...
Hyonyoung, Han, Sungho, Jo
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
openaire   +1 more source

Surface EMG (SEMG): A Synopsis

Biofeedback, 2019
Surface electromyography is an electrophysiological modality assessing the electrical activity of skeletal musculature. The Sella protocol is a structured assessment protocol, including static muscle assessment and dynamic muscle assessment, utilizing standardized electrode placements, conditions, and movements during assessment.
openaire   +1 more source

Frame-Based SEMG-to-Speech Conversion

2006 49th IEEE International Midwest Symposium on Circuits and Systems, 2006
This paper presents a methodology that uses surface electromyogram (SEMG) signals recorded from the cheek and chin to synthesize speech. A neural network is trained to map the SEMG features (short-time Fourier transform coefficients) into vector-quantized codebook indices of speech features (linear prediction coefficients, pitch, and energy).
Yuet-Ming Lam, Philip Heng-Wai Leong, Man-Wai Mak   +2 more
openaire   +1 more source

Variation of SEMG During Sprint Cycling

Proceedings of the 2004 Intelligent Sensors, Sensor Networks and Information Processing Conference, 2004., 2005
As a non-invasive technique of identifying muscle activity, the SEMG (surface electromyogram) may be very useful. SEMG amplitude and frequency have been investigated as an indicator of muscular fatigue and to estimate muscle force and torque for the purpose of training athletes and for machine control.
null V.P. Singh, null Dinesh Kant Kumar, null D. Djuwari, null Barbara Polus, null S. Fraser, null J. Hawley, null S. Lo Giudice   +6 more
openaire   +1 more source

Head Posture Analysis using sEMG Signal

2018 International Conference on Advanced Computation and Telecommunication (ICACAT), 2018
The purpose of this study was to determine the muscle activity of upper trapezius muscle of different head posture at standing and sitting positions by using surface electromyography (sEMG) signals. This tool may be a non-invasive technique that enables the analysis of muscle activity.
Kavita Kushwah, Rakesh Narvey, Ashish Singhal   +2 more
openaire   +1 more source

HD-sEMG for Human Interfacing Devices

2019 IEEE 10th Annual Information Technology, Electronics and Mobile Communication Conference (IEMCON), 2019
The development of 6th Generation Computing introduced a new renaissance to Science, Technology, Engineering, Art, and Mathematics (STEAM). With tremendous improvements in data processing due to machine learning, there has been a resurgence in computer interface development.
Brendan P. Beauchamp, Nabeeh Kandalaft
openaire   +1 more source

Design of sEMG-detecting circuit for EMG-Bridge

2017 39th Annual International Conference of the IEEE Engineering in Medicine and Biology Society (EMBC), 2017
A surface electromyography (sEMG) signal typically results from the electrical activities of many muscle fibers, and can be utilized as a signal source in prostheses due to its abundance of movement information. This paper proposes an sEMG-detection circuit for the acquisition of the controlling signal in EMG-Bridge (EMGB) systems.
, Xiao-Bin Chen, , Yu-Xuan Zhou, , Hai-Peng Wang, , Xiao-Ying Lu, , Zhi-Gong Wang   +4 more
openaire   +2 more sources

Neuropathology Considerations: Clinical and SEMG/Biofeedback Applications

Applied Psychophysiology and Biofeedback, 2003
SEMG investigation protocols are described within the neurological framework. A neuroanatomic pathway is utilized including muscular disease, neuromuscular junction conditions, peripheral neuropathy, radiculopahy, myleopathy, brainstem disorders, cerebellar disorders, subcortical and cortical disease.
openaire   +2 more sources

Implementation of sEMG-based robotic hand

2014 IEEE 4th International Conference on System Engineering and Technology (ICSET), 2014
This paper describes utilization of surface electromyography (sEMG) identification for driving robotic hand. Therefore, this implementation will give other alternatives to the stroke survivors or paralysis patients in order to help their activities. This system detecs the movement of two fingers (thumb and index finger) by using threshold as pattern ...
Reza Darmakusuma, Ary S. Prihatmanto, Adi Indrayanto, Tati L. Mengko   +3 more
openaire   +1 more source