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Upper limb soft robotic wearable devices: a systematic review
E Bardi, M Gandolla, F Braghin, F Resta… - Journal of …, 2022 - Springer
Introduction Soft robotic wearable devices, referred to as exosuits, can be a valid alternative
to rigid exoskeletons when it comes to daily upper limb support. Indeed, their inherent …
to rigid exoskeletons when it comes to daily upper limb support. Indeed, their inherent …
A review of hand gesture recognition systems based on noninvasive wearable sensors
R Tchantchane, H Zhou, S Zhang… - Advanced intelligent …, 2023 - Wiley Online Library
Hand gesture, one of the essential ways for a human to convey information and express
intuitive intention, has a significant degree of differentiation, substantial flexibility, and high …
intuitive intention, has a significant degree of differentiation, substantial flexibility, and high …
Emerging wearable interfaces and algorithms for hand gesture recognition: A survey
Hands are vital in a wide range of fundamental daily activities, and neurological diseases
that impede hand function can significantly affect quality of life. Wearable hand gesture …
that impede hand function can significantly affect quality of life. Wearable hand gesture …
EMG hand gesture classification using handcrafted and deep features
JM Fajardo, O Gomez, F Prieto - Biomedical Signal Processing and Control, 2021 - Elsevier
Currently, electromyographic (EMG) signal gesture recognition is performed with devices of
many channels. Each channel gives a signal that must be filtered and processed, which …
many channels. Each channel gives a signal that must be filtered and processed, which …
[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 …
Transfer learning in hand movement intention detection based on surface electromyography signals
Over the past several years, electromyography (EMG) signals have been used as a natural
interface to interact with computers and machines. Recently, deep learning algorithms such …
interface to interact with computers and machines. Recently, deep learning algorithms such …
Feasibility and safety of shared EEG/EOG and vision-guided autonomous whole-arm exoskeleton control to perform activities of daily living
Arm and finger paralysis, eg due to brain stem stroke, often results in the inability to perform
activities of daily living (ADLs) such as eating and drinking. Recently, it was shown that a …
activities of daily living (ADLs) such as eating and drinking. Recently, it was shown that a …
The classification of movement intention through machine learning models: the identification of significant time-domain EMG features
Electromyography (EMG) signal is one of the extensively utilised biological signals for
predicting human motor intention, which is an essential element in human-robot …
predicting human motor intention, which is an essential element in human-robot …
Empowering hand rehabilitation with ai-powered gesture recognition: A study of an semg-based system
Stroke is one of the most prevalent health issues that people face today, causing long-term
complications such as paresis, hemiparesis, and aphasia. These conditions significantly …
complications such as paresis, hemiparesis, and aphasia. These conditions significantly …
Force myography controlled multifunctional hand prosthesis for upper-limb amputees
Existing myoelectric prostheses can provide solutions to amputees for performing activities
of daily livings. However, there are several issues with these prostheses (1) performance are …
of daily livings. However, there are several issues with these prostheses (1) performance are …