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Human-robot interaction in rehabilitation and assistance: a review
Abstract Purpose of Review Research in assistive and rehabilitation robotics is a growing,
promising, and challenging field emerged due to various social and medical needs such as …
promising, and challenging field emerged due to various social and medical needs such as …
Intelligent EMG pattern recognition control method for upper-limb multifunctional prostheses: advances, current challenges, and future prospects
Upper-limb amputation imposes significant burden on amputees thereby restricting them
from fully exploring their environments during activities of daily living. The use of intelligent …
from fully exploring their environments during activities of daily living. The use of intelligent …
Convolutional neural networks based fire detection in surveillance videos
The recent advances in embedded processing have enabled the vision based systems to
detect fire during surveillance using convolutional neural networks (CNNs). However, such …
detect fire during surveillance using convolutional neural networks (CNNs). However, such …
Feature extraction and selection for myoelectric control based on wearable EMG sensors
Specialized myoelectric sensors have been used in prosthetics for decades, but, with recent
advancements in wearable sensors, wireless communication and embedded technologies …
advancements in wearable sensors, wireless communication and embedded technologies …
Content-based image retrieval using color, shape and texture descriptors and features
Due to the recent technology development, the multimedia complexity is noticeably
increased and new research areas are opened relying on similar multimedia content …
increased and new research areas are opened relying on similar multimedia content …
[HTML][HTML] EMG-centered multisensory based technologies for pattern recognition in rehabilitation: state of the art and challenges
In the field of rehabilitation, the electromyography (EMG) signal plays an important role in
interpreting patients' intentions and physical conditions. Nevertheless, utilizing merely the …
interpreting patients' intentions and physical conditions. Nevertheless, utilizing merely the …
Application of min-max normalization on subject-invariant EMG pattern recognition
Surface electromyography (EMG) is one of the promising signals for the recognition of the
intended hand movement of an amputee. Nevertheless, there are several barriers to its …
intended hand movement of an amputee. Nevertheless, there are several barriers to its …
[PDF][PDF] Classification of hand movements based on discrete wavelet transform and enhanced feature extraction
Extraction of potential electromyography (EMG) features has become one of the important
roles in EMG pattern recognition. In this paper, two EMG features, namely, enhanced …
roles in EMG pattern recognition. In this paper, two EMG features, namely, enhanced …
Alcoholism detection by data augmentation and convolutional neural network with stochastic pooling
Alcohol use disorder (AUD) is an important brain disease. It alters the brain structure.
Recently, scholars tend to use computer vision based techniques to detect AUD. We …
Recently, scholars tend to use computer vision based techniques to detect AUD. We …
K-Means clustering and neural network for object detecting and identifying abnormality of brain tumor
Brain tumor diagnosis is a challenging and difficult process in view of the assortment of
conceivable shapes, regions, and image intensities. The pathological detection and …
conceivable shapes, regions, and image intensities. The pathological detection and …