Gesture recognition using surface electromyography and deep learning for prostheses hand: state-of-the-art, challenges, and future

W Li, P Shi, H Yu - Frontiers in neuroscience, 2021 - frontiersin.org
Amputation of the upper limb brings heavy burden to amputees, reduces their quality of life,
and limits their performance in activities of daily life. The realization of natural control for …

[HTML][HTML] Gesture interaction in virtual reality

LI Yang, J Huang, T Feng, W Hong-An… - Virtual Reality & …, 2019 - Elsevier
With the development of virtual reality (VR) and human-computer interaction technology,
how to use natural and efficient interaction methods in the virtual environment has become a …

Gesture recognition by instantaneous surface EMG images

W Geng, Y Du, W **, W Wei, Y Hu, J Li - Scientific reports, 2016 - nature.com
Gesture recognition in non-intrusive muscle-computer interfaces is usually based on
windowed descriptive and discriminatory surface electromyography (sEMG) features …

Surface EMG-based inter-session gesture recognition enhanced by deep domain adaptation

Y Du, W **, W Wei, Y Hu, W Geng - Sensors, 2017 - mdpi.com
High-density surface electromyography (HD-sEMG) is to record muscles' electrical activity
from a restricted area of the skin by using two dimensional arrays of closely spaced …

Tomo: Wearable, low-cost electrical impedance tomography for hand gesture recognition

Y Zhang, C Harrison - Proceedings of the 28th Annual ACM Symposium …, 2015 - dl.acm.org
We present Tomo, a wearable, low-cost system using Electrical Impedance Tomography
(EIT) to recover the interior impedance geometry of a user's arm. This is achieved by …

Viband: High-fidelity bio-acoustic sensing using commodity smartwatch accelerometers

G Laput, R **ao, C Harrison - … of the 29th Annual Symposium on User …, 2016 - dl.acm.org
Smartwatches and wearables are unique in that they reside on the body, presenting great
potential for always-available input and interaction. Their position on the wrist makes them …

[HTML][HTML] Current state of digital signal processing in myoelectric interfaces and related applications

M Hakonen, H Piitulainen, A Visala - Biomedical Signal Processing and …, 2015 - Elsevier
This review discusses the critical issues and recommended practices from the perspective of
myoelectric interfaces. The major benefits and challenges of myoelectric interfaces are …

A framework for hand gesture recognition based on accelerometer and EMG sensors

X Zhang, X Chen, Y Li, V Lantz… - IEEE Transactions on …, 2011 - ieeexplore.ieee.org
This paper presents a framework for hand gesture recognition based on the information
fusion of a three-axis accelerometer (ACC) and multichannel electromyography (EMG) …

Enabling hand gesture customization on wrist-worn devices

X Xu, J Gong, C Brum, L Liang, B Suh… - Proceedings of the …, 2022 - dl.acm.org
We present a framework for gesture customization requiring minimal examples from users,
all without degrading the performance of existing gesture sets. To achieve this, we first …

Skinput: appropriating the body as an input surface

C Harrison, D Tan, D Morris - Proceedings of the SIGCHI conference on …, 2010 - dl.acm.org
We present Skinput, a technology that appropriates the human body for acoustic
transmission, allowing the skin to be used as an input surface. In particular, we resolve the …