A review of hand gesture and sign language recognition techniques

MJ Cheok, Z Omar, MH Jaward - International Journal of Machine …, 2019 - Springer
Hand gesture recognition serves as a key for overcoming many difficulties and providing
convenience for human life. The ability of machines to understand human activities and their …

[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 …

[HTML][HTML] A novel attention-based hybrid CNN-RNN architecture for sEMG-based gesture recognition

Y Hu, Y Wong, W Wei, Y Du, M Kankanhalli, W Geng - PloS one, 2018 - journals.plos.org
The surface electromyography (sEMG)-based gesture recognition with deep learning
approach plays an increasingly important role in human-computer interaction. Existing deep …

[HTML][HTML] Multiday EMG-based classification of hand motions with deep learning techniques

M Zia ur Rehman, A Waris, SO Gilani, M Jochumsen… - Sensors, 2018 - mdpi.com
Pattern recognition of electromyography (EMG) signals can potentially improve the
performance of myoelectric control for upper limb prostheses with respect to current clinical …

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) …

Systematic literature review of hand gestures used in human computer interaction interfaces

T Vuletic, A Duffy, L Hay, C McTeague… - International Journal of …, 2019 - Elsevier
Gestures, widely accepted as a humans' natural mode of interaction with their surroundings,
have been considered for use in human-computer based interfaces since the early 1980s …

An IoT-enabled stroke rehabilitation system based on smart wearable armband and machine learning

G Yang, J Deng, G Pang, H Zhang, J Li… - IEEE journal of …, 2018 - ieeexplore.ieee.org
Surface electromyography signal plays an important role in hand function recovery training.
In this paper, an IoT-enabled stroke rehabilitation system was introduced which was based …

A hand gesture recognition framework and wearable gesture-based interaction prototype for mobile devices

Z Lu, X Chen, Q Li, X Zhang… - IEEE transactions on …, 2014 - ieeexplore.ieee.org
An algorithmic framework is proposed to process acceleration and surface
electromyographic (SEMG) signals for gesture recognition. It includes a novel segmentation …

[HTML][HTML] Review of three-dimensional human-computer interaction with focus on the leap motion controller

D Bachmann, F Weichert, G Rinkenauer - Sensors, 2018 - mdpi.com
Modern hardware and software development has led to an evolution of user interfaces from
command-line to natural user interfaces for virtual immersive environments. Gestures …

A high performance spelling system based on EEG-EOG signals with visual feedback

MH Lee, J Williamson, DO Won… - IEEE Transactions on …, 2018 - ieeexplore.ieee.org
In this paper, we propose a highly accurate and fast spelling system that employs multi-
modal electroencephalography-electrooculography (EEG-EOG) signals and visual feedback …