SEMG APPROACH FOR SPEECH RECOGNITION
International Journal of Advanced Research in Computer Science, 2023 Speech is the most familiar and habitual way of communication used by most of us. Due to speech disabilities, many people find it difficult to properly voice their views and thus are at a disadvantage. The research tackles the issue of lack of speech from a speech impaired user by recognizing it with the use of ML models such as Gaussian Mixture Model -
Siddesh Shisode +6 more
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sEMG dataset of routine activities
Data in Brief, 2020 In this paper, we present the data set of surface electromyography (sEMG) and an Inertial Measurement Unit (IMU) against human muscle activity during routine activities. The Myo Thalamic Armband is used to acquire the signals from muscles below the elbow.
Asad Mansoor Khan +3 more
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EOG-sEMG Human Interface for Communication [PDF]
Computational Intelligence and Neuroscience, 2016 The aim of this study is to present electrooculogram (EOG) and surface electromyogram (sEMG) signals that can be used as a human-computer interface. Establishing an efficient alternative channel for communication without overt speech and hand movements is important for increasing the quality of life for patients suffering from amyotrophic lateral ...
Tamura, Hiroki +3 more
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Bayesian sequential experimental design for binary response data with application to electromyographic experiments [PDF]
, 2014 We develop a sequential Monte Carlo approach for Bayesian analysis of the experimental design for binary response data. Our work is motivated by surface electromyographic (SEMG) experiments, which can be used to provide information about the ...
Azadi, Nammam Ali +3 more
core +7 more sources
Surface electromyographic control of a novel phonemic interface for speech synthesis [PDF]
, 2016 Many individuals with minimal movement capabilities use AAC to communicate. These individuals require both an interface with which to construct a message (e.g., a grid of letters) and an input modality with which to select targets.
Cler, Meredith J. +4 more
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Detection of intention level in response to task difficulty from EEG signals [PDF]
, 2013 We present an approach that enables detecting intention levels of subjects in response to task difficulty utilizing an electroencephalogram (EEG) based brain-computer interface (BCI).
Cetin, Mujdat +7 more
core +1 more source
Voiceless Bangla vowel recognition using sEMG signal [PDF]
SpringerPlus, 2016 Some people cannot produce sound although their facial muscles work properly due to having problem in their vocal cords. Therefore, recognition of alphabets as well as sentences uttered by these voiceless people is a complex task. This paper proposes a novel method to solve this problem using non-invasive surface Electromyogram (sEMG).
Mostafa, S. S. +3 more
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Fatiguing Effects of Indirect Vibration Stimulation in Upper Limb Muscles- pre, post and during Isometric Contractions Superimposed on Upper Limb Vibration [PDF]
, 2019 © 2019 The Authors. Published by the Royal Society under the terms of the Creative Commons Attribution License http://creativecommons.org/licenses/by/4.0/ , which permits unrestricted use, provided the original author and source are credited.Whole-body ...
Cardinale, Marco +2 more
core +3 more sources
Estimation of muscular forces from SSA smoothed sEMG signals calibrated by inverse dynamics-based physiological static optimization [PDF]
, 2016 The estimation of muscular forces is useful in several areas such as biomedical or rehabilitation engineering. As muscular forces cannot be measured in vivo non-invasively they must be estimated by using indirect measurements such as surface ...
Alonso Sánchez, Francisco Javier +4 more
core +1 more source
Simultaneously encoding movement and sEMG-based stiffness for robotic skill learning [PDF]
, 2021 Transferring human stiffness regulation strategies to robots enables them to effectively and efficiently acquire adaptive impedance control policies to deal with uncertainties during the accomplishment of physical contact tasks in an unstructured ...
Cheng, Hong +4 more
core +1 more source