[HTML][HTML] A systematic review on surface electromyography-based classification system for identifying hand and finger movements
The developments in engineering fields have extended the use of electromyography (EMG)
beyond traditional diagnostic applications to multifarious areas like movement analysis …
beyond traditional diagnostic applications to multifarious areas like movement analysis …
Sign language recognition using the electromyographic signal: a systematic literature review
A Ben Haj Amor, O El Ghoul, M Jemni - Sensors, 2023 - mdpi.com
The analysis and recognition of sign languages are currently active fields of research
focused on sign recognition. Various approaches differ in terms of analysis methods and the …
focused on sign recognition. Various approaches differ in terms of analysis methods and the …
An intelligent neuromarketing system for predicting consumers' future choice from electroencephalography signals
Abstract Neuromarketing utilizes Brain-Computer Interface (BCI) technologies to provide
insight into consumers responses on marketing stimuli. In order to achieve insight …
insight into consumers responses on marketing stimuli. In order to achieve insight …
BCI-based consumers' choice prediction from EEG signals: an intelligent neuromarketing framework
Neuromarketing relies on Brain Computer Interface (BCI) technology to gain insight into how
customers react to marketing stimuli. Marketers spend about $750 billion annually on …
customers react to marketing stimuli. Marketers spend about $750 billion annually on …
A novel methodology for classifying EMG movements based on SVM and genetic algorithms
Electromyography (EMG) processing is a fundamental part of medical research. It offers the
possibility of developing new devices and techniques for the diagnosis, treatment, care, and …
possibility of developing new devices and techniques for the diagnosis, treatment, care, and …
Comparative analysis of SVM and Naive Bayes classifier for the SEMG signal classification
Y Narayan - Materials Today: Proceedings, 2021 - Elsevier
The surface electromyography (sEMG) signals are the human muscle signals which are
employed in various biomedical and engineering applications. Classification of sEMG …
employed in various biomedical and engineering applications. Classification of sEMG …
SEMG signal classification using KNN classifier with FD and TFD features
Y Narayan - Materials Today: Proceedings, 2021 - Elsevier
For developing thebio-engineering inspired human–machine interface, surface
electromyography (SEMG) signals have been widely exploited in the last decade. Movement …
electromyography (SEMG) signals have been widely exploited in the last decade. Movement …
Lightweight neural network for COVID-19 detection from chest X-ray images implemented on an embedded system
At the end of 2019, a severe public health threat named coronavirus disease (COVID-19)
spread rapidly worldwide. After two years, this coronavirus still spreads at a fast rate. Due to …
spread rapidly worldwide. After two years, this coronavirus still spreads at a fast rate. Due to …
SEMG-based upper limb movement classifier: Current scenario and upcoming challenges
Despite achieving accuracies higher than 90% on recognizing upper-limb movements
through sEMG (surface Electromyography) signal with the state of art classifiers in the …
through sEMG (surface Electromyography) signal with the state of art classifiers in the …
A home-based bilateral rehabilitation system with sEMG-based real-time variable stiffness
Bilateral rehabilitation allows patients with hemiparesis to exploit the cooperative
capabilities of both arms to promote the recovery process. Although various approaches …
capabilities of both arms to promote the recovery process. Although various approaches …