Artificial intelligence based on fuzzy logic for the analysis of human movement in healthy people: a systematic review
Technological advances that involve computing and artificial intelligence (AI) have led to
advances in analysis methods. Fuzzy logic (FL) serves as a qualitative interpretation tool for …
advances in analysis methods. Fuzzy logic (FL) serves as a qualitative interpretation tool for …
Evaluation of windowing techniques for intramuscular EMG-based diagnostic, rehabilitative and assistive devices
Objective. Intramuscular electromyography (iEMG) signals, invasively recorded, directly from
the muscles are used to diagnose various neuromuscular disorders/diseases and to control …
the muscles are used to diagnose various neuromuscular disorders/diseases and to control …
Intramuscular EMG decomposition basing on motor unit action potentials detection and superposition resolution
X Ren, C Zhang, X Li, G Yang, T Potter… - Frontiers in …, 2018 - frontiersin.org
A novel electromyography (EMG) signal decomposition framework is presented for the
thorough and precise analysis of intramuscular EMG signals. This framework first detects all …
thorough and precise analysis of intramuscular EMG signals. This framework first detects all …
Classification of muscle fatigue using surface electromyography signals and multifractals
K Marri, R Swaminathan - 2015 12th International Conference …, 2015 - ieeexplore.ieee.org
Muscle fatigue is commonly experienced in both normal and subjects with neuromuscular
disorders. Surface electromyography (sEMG) signals are useful technique for analyzing …
disorders. Surface electromyography (sEMG) signals are useful technique for analyzing …
Enhancing the classification accuracy in recognizing human activity using logistic regression compared with random forest
GY Reddy, P Kumar - AIP Conference Proceedings, 2024 - pubs.aip.org
Instead of using the Random Forest technique, the main objective is to use the Novel
Logistic Regression approach to detect human behaviours in the TRAIN dataset. Methods …
Logistic Regression approach to detect human behaviours in the TRAIN dataset. Methods …
An optimized scheme of mel frequency cepstral coefficient for multi-sensor sign language recognition
N Wang, Z Ma, Y Tang, Y Liu, Y Li, J Niu - Smart Computing and …, 2017 - Springer
This paper proposes an optimized scheme of Mel Frequency Cepstral Coefficient (MFCC)
and Deep-learning for sign language recognition using gyroscopes, accelerometers and …
and Deep-learning for sign language recognition using gyroscopes, accelerometers and …
Paramétrisation des potentiels d'action d'une unité motrice détectés non-invasivement
K Mebarkia - 2018 - dspace.univ-setif.dz
L'objectif de ce travail est la reconnaissance du potentiel d'action de l'unité motrice (PAUM)
détecté non-invasivement par la technique spatiale à haute résolution (HSR) en se basant …
détecté non-invasivement par la technique spatiale à haute résolution (HSR) en se basant …
Utilizing a Novel Convolutional Neural Network (CNN) Algorithm instead of a Genetic Algorithm (GA) based CNN Algorithm to Improve Accuracy, a Smart System to …
VA Razzaq, KV Kanimozhi - Journal of Survey in Fisheries …, 2023 - sifisheriessciences.com
Aim: The major purpose of the research is to recognize human actions using the
Convolutional Neural Network algorithm (CNNT) in comparison with Genetic algorithm (GT) …
Convolutional Neural Network algorithm (CNNT) in comparison with Genetic algorithm (GT) …