Human-machine interaction sensing technology based on hand gesture recognition: A review

L Guo, Z Lu, L Yao - IEEE Transactions on Human-Machine …, 2021 - ieeexplore.ieee.org
Human machine interaction (HMI) is an interactive way of information exchange between
human and machine. By collecting the information that can be conveyed by the person to …

Emerging wearable interfaces and algorithms for hand gesture recognition: A survey

S Jiang, P Kang, X Song, BPL Lo… - IEEE Reviews in …, 2021 - ieeexplore.ieee.org
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 …

[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 …

Surface EMG signal classification using ternary pattern and discrete wavelet transform based feature extraction for hand movement recognition

T Tuncer, S Dogan, A Subasi - Biomedical signal processing and control, 2020 - Elsevier
Hands are two of the most crucial organs and they play major role for human activities.
Therefore, amputee people experience many difficulties in daily life. To overcome these …

A deep transfer learning approach to reducing the effect of electrode shift in EMG pattern recognition-based control

A Ameri, MA Akhaee, E Scheme… - IEEE Transactions on …, 2019 - ieeexplore.ieee.org
An important barrier to commercialization of pattern recognition myoelectric control of
prostheses is the lack of robustness to confounding factors such as electrode shift, skin …

A gesture recognition strategy based on A-mode ultrasound for identifying known and unknown gestures

L Guo, Z Lu, L Yao, S Cai - IEEE Sensors Journal, 2022 - ieeexplore.ieee.org
Human-machine interface (HMI) technology has gradually become a research hotspot with
the continuous development of computer technology and Internet of Things (IOT) …

Wrist-worn hand gesture recognition while walking via transfer learning

P Kang, J Li, B Fan, S Jiang… - IEEE Journal of …, 2021 - ieeexplore.ieee.org
Walking, one of the most common daily activities, causes unwanted movement artifacts
which can significantly deteriorate hand gesture recognition accuracy. However, traditional …

A hybrid multimodal fusion framework for sEMG-ACC-Based hand gesture recognition

S Duan, L Wu, B Xue, A Liu, R Qian… - IEEE Sensors …, 2023 - ieeexplore.ieee.org
Hand gesture recognition (HGR) based on surface electromyogram (sEMG) and
accelerometer (ACC) signals has attracted increasing attention. The design of an effective …

Adaptive calibration of electrode array shifts enables robust myoelectric control

X Zhang, L Wu, B Yu, X Chen… - IEEE transactions on …, 2019 - ieeexplore.ieee.org
Objective: The objective of this work is to develop a novel method for adaptive calibration of
the electrode array shifts toward achieving robust myoelectric pattern-recognition control …

MCMP-Net: MLP combining max pooling network for sEMG gesture recognition

X Mian, Z Bingtao, C Shiqiang, L Song - Biomedical Signal Processing and …, 2024 - Elsevier
Abstract sEMG Gesture Recognition is often used in wearable devices, so balancing model
complexity and classification ability are important when designing models. Presently …