Real-time EMG based pattern recognition control for hand prostheses: A review on existing methods, challenges and future implementation
Upper limb amputation is a condition that significantly restricts the amputees from performing
their daily activities. The myoelectric prosthesis, using signals from residual stump muscles …
their daily activities. The myoelectric prosthesis, using signals from residual stump muscles …
Real-time hand gesture recognition using surface electromyography and machine learning: A systematic literature review
A Jaramillo-Yánez, ME Benalcázar… - Sensors, 2020 - mdpi.com
Today, daily life is composed of many computing systems, therefore interacting with them in
a natural way makes the communication process more comfortable. Human–Computer …
a natural way makes the communication process more comfortable. Human–Computer …
[HTML][HTML] Intelligent human computer interaction based on non redundant EMG signal
Y Sun, C Xu, G Li, W Xu, J Kong, D Jiang, B Tao… - Alexandria Engineering …, 2020 - Elsevier
Human computer interaction plays an increasingly important role in our life. People need
more intelligent, concise and efficient human-computer interaction. It is of great significance …
more intelligent, concise and efficient human-computer interaction. It is of great significance …
Hand gesture recognition based on convolution neural network
G Li, H Tang, Y Sun, J Kong, G Jiang, D Jiang, B Tao… - Cluster …, 2019 - Springer
Due to the complexity issue of the hand gesture recognition feature extraction, for example
the variation of the light and background. In this paper, the convolution neural network is …
the variation of the light and background. In this paper, the convolution neural network is …
Multi‐Electrode Printed Bioelectronic Patches for Long‐Term Electrophysiological Monitoring
M Reis Carneiro, C Majidi… - Advanced Functional …, 2022 - Wiley Online Library
A novel architecture of materials and fabrication techniques is proposed that serves as a
universal method for implementation of thin‐film biostickers for high resolution …
universal method for implementation of thin‐film biostickers for high resolution …
Robust hand gesture recognition with a double channel surface EMG wearable armband and SVM classifier
M Tavakoli, C Benussi, PA Lopes, LB Osorio… - … Signal Processing and …, 2018 - Elsevier
Integration of surface EMG sensors as an input source for Human Machine Interfaces (HMIs)
is getting an increasing attention due to their application in wearable devices such as …
is getting an increasing attention due to their application in wearable devices such as …
Biosignal-based human–machine interfaces for assistance and rehabilitation: A survey
As a definition, Human–Machine Interface (HMI) enables a person to interact with a device.
Starting from elementary equipment, the recent development of novel techniques and …
Starting from elementary equipment, the recent development of novel techniques and …
Soft bioelectronic stickers: selection and evaluation of skin‐interfacing electrodes
PA Lopes, D Vaz Gomes… - Advanced …, 2019 - Wiley Online Library
Surface biopotentials collected from the human epidermis contain important information
about human physiology, such as muscular, heart, and brain activities. However …
about human physiology, such as muscular, heart, and brain activities. However …
Real-time hand gesture recognition using the Myo armband and muscle activity detection
ME Benalcázar, C Motoche, JA Zea… - 2017 IEEE second …, 2017 - ieeexplore.ieee.org
Hand gesture recognition consists of identifying the class and the instant of occurrence of a
given movement of the hand. The solutions to this problem have many applications in …
given movement of the hand. The solutions to this problem have many applications in …
Fully untethered battery-free biomonitoring electronic tattoo with wireless energy harvesting
Bioelectronics stickers that interface the human epidermis and collect electrophysiological
data will constitute important tools in the future of healthcare. Rapid progress is enabled by …
data will constitute important tools in the future of healthcare. Rapid progress is enabled by …