A review of classification techniques of EMG signals during isotonic and isometric contractions
In recent years, there has been major interest in the exposure to physical therapy during
rehabilitation. Several publications have demonstrated its usefulness in clinical/medical and …
rehabilitation. Several publications have demonstrated its usefulness in clinical/medical and …
Robust facial expression recognition for MuCI: a comprehensive neuromuscular signal analysis
This paper presents a comprehensive study on the analysis of neuromuscular signal
activities to recognize 11 facial expressions for muscle computer interfacing applications. A …
activities to recognize 11 facial expressions for muscle computer interfacing applications. A …
Facial expression recognition with sEMG method
Facial expression recognition has broad application prospects in the fields of psychological
study, nursing care, Human Computer Interaction as well as affective computing. The …
study, nursing care, Human Computer Interaction as well as affective computing. The …
Evaluating performance of machine learning models for diabetic sensorimotor polyneuropathy severity classification using biomechanical signals during gait
Diabetic sensorimotor polyneuropathy (DSPN) is one of the prevalent forms of neuropathy
affected by diabetic patients that involves alterations in biomechanical changes in human …
affected by diabetic patients that involves alterations in biomechanical changes in human …
EIS: A wearable device for epidermal American sign language recognition
American Sign Language (ASL) is widely used among hearing impaired individuals in
English-speaking countries. Various technologies have been developed to perform ASL …
English-speaking countries. Various technologies have been developed to perform ASL …
[PDF][PDF] A survey on bio-signal analysis for human-robot interaction
The use of bio-signals analysis in human-robot interaction is rapidly increasing. There is an
urgent demand for it in various applications, including health care, rehabilitation, research …
urgent demand for it in various applications, including health care, rehabilitation, research …
[PDF][PDF] Diagnosing knee osteoarthritis using artificial neural networks and deep learning
Among various medical diagnostic tests performed to identify osteoarthritis in the knee, most
of them are invasive and expensive. Therefore, in this study, another methodology for …
of them are invasive and expensive. Therefore, in this study, another methodology for …
Time-frequency facial gestures EMG analysis using bilinear distribution
Electromyogram (EMG)-based facial gesture recognition has recently drawn the
researchers' attention as a potential medium in different areas, particularly in assistive …
researchers' attention as a potential medium in different areas, particularly in assistive …
Facial neuromuscular signal classification by means of least square support vector machine for MuCI
M Hamedi, SH Salleh, AM Noor - Applied Soft Computing, 2015 - Elsevier
Facial neuromuscular signal has recently drawn the researchers' attention to its outstanding
potential as an efficient medium for Muscle Computer Interface (MuCI) applications. The …
potential as an efficient medium for Muscle Computer Interface (MuCI) applications. The …
Low-cost assistive device for hand gesture recognition using sEMG (Erratum)
O Kainz, A Mak, D Cymbalák, S Kardoš… - First International …, 2016 - spiedigitallibrary.org
Publisher's Note: This paper, originally published on 7/11/16, was replaced with a
corrected/revised version on 10/17/18. If you downloaded the original PDF but are unable to …
corrected/revised version on 10/17/18. If you downloaded the original PDF but are unable to …