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] 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 …

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 …

Enabling always-available input with muscle-computer interfaces

TS Saponas, DS Tan, D Morris… - Proceedings of the …, 2009 - dl.acm.org
Previous work has demonstrated the viability of applying offline analysis to interpret forearm
electromyography (EMG) and classify finger gestures on a physical surface. We extend …

Wearable electromyography-based human-computer interface

D Tan, TS Saponas, D Morris, J Turner - US Patent 9,037,530, 2015 - Google Patents
(57) ABSTRACT A “Wearable Electromyography-Based Controller'includes a plurality of
Electromyography (EMG) sensors and provides a wired or wireless human-computer …

A framework and call to action for the future development of EMG-based input in HCI

E Eddy, EJ Scheme, S Bateman - … of the 2023 CHI conference on human …, 2023 - dl.acm.org
Electromyography (EMG) has been explored as an HCI input modality following a long
history of success for prosthesis control. While EMG has the potential to address a range of …

Demonstrating the feasibility of using forearm electromyography for muscle-computer interfaces

TS Saponas, DS Tan, D Morris… - Proceedings of the …, 2008 - dl.acm.org
We explore the feasibility of muscle-computer interfaces (muCIs): an interaction
methodology that directly senses and decodes human muscular activity rather than relying …

FingerPad: private and subtle interaction using fingertips

L Chan, RH Liang, MC Tsai, KY Cheng, CH Su… - Proceedings of the 26th …, 2013 - dl.acm.org
We present FingerPad, a nail-mounted device that turns the tip of the index finger into a
touchpad, allowing private and subtle interaction while on the move. FingerPad enables …

Nenya: subtle and eyes-free mobile input with a magnetically-tracked finger ring

D Ashbrook, P Baudisch, S White - … of the SIGCHI Conference on Human …, 2011 - dl.acm.org
We present Nenya, a new input device in the shape of a finger ring. Nenya provides an input
mechanism that is always available, fast to access, and allows analog input, while remaining …