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 …
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 …
how to use natural and efficient interaction methods in the virtual environment has become a …
Gesture recognition by instantaneous surface EMG images
Gesture recognition in non-intrusive muscle-computer interfaces is usually based on
windowed descriptive and discriminatory surface electromyography (sEMG) features …
windowed descriptive and discriminatory surface electromyography (sEMG) features …
Surface EMG-based inter-session gesture recognition enhanced by deep domain adaptation
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 …
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
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 …
(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
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 …
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
This review discusses the critical issues and recommended practices from the perspective of
myoelectric interfaces. The major benefits and challenges of myoelectric interfaces are …
myoelectric interfaces. The major benefits and challenges of myoelectric interfaces are …
A framework for hand gesture recognition based on accelerometer and EMG sensors
This paper presents a framework for hand gesture recognition based on the information
fusion of a three-axis accelerometer (ACC) and multichannel electromyography (EMG) …
fusion of a three-axis accelerometer (ACC) and multichannel electromyography (EMG) …
Enabling hand gesture customization on wrist-worn devices
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 …
all without degrading the performance of existing gesture sets. To achieve this, we first …
Skinput: appropriating the body as an input surface
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 …
transmission, allowing the skin to be used as an input surface. In particular, we resolve the …