Biosignal-based human–machine interfaces for assistance and rehabilitation: A survey

D Esposito, J Centracchio, E Andreozzi, GD Gargiulo… - Sensors, 2021 - mdpi.com
As a definition, Human–Machine Interface (HMI) enables a person to interact with a device.
Starting from elementary equipment, the recent development of novel techniques and …

[PDF][PDF] A review-classification of electrooculogram based human computer interfaces

S Ramkumar, KS Kumar, TD Rajkumar… - Biomedical …, 2018 - researchgate.net
Today there is an increasing need for assistive technology to help people with disabilities to
attain some level of autonomy in terms of communication and movement. People with …

Realistic facial expression reconstruction for VR HMD users

J Lou, Y Wang, C Nduka, M Hamedi… - IEEE Transactions …, 2019 - ieeexplore.ieee.org
We present a system for sensing and reconstructing facial expressions of the virtual reality
(VR) head-mounted display (HMD) user. The HMD occludes a large portion of the user's …

Feature extraction of the first difference of EMG time series for EMG pattern recognition

A Phinyomark, F Quaine, S Charbonnier… - Computer methods and …, 2014 - Elsevier
This paper demonstrates the utility of a differencing technique to transform surface EMG
signals measured during both static and dynamic contractions such that they become more …

Hybrid control of a vision-guided robot arm by EOG, EMG, EEG biosignals and head movement acquired via a consumer-grade wearable device

L Minati, N Yoshimura, Y Koike - Ieee Access, 2016 - ieeexplore.ieee.org
Simultaneous acquisition of electrooculogram, jaw electromyogram, electroencephalogram,
and head movement via consumer-grade wearable devices has become possible. Such …

Controlling a human–computer interface system with a novel classification method that uses electrooculography signals

SL Wu, LD Liao, SW Lu, WL Jiang… - IEEE transactions on …, 2013 - ieeexplore.ieee.org
Electrooculography (EOG) signals can be used to control human-computer interface (HCI)
systems, if properly classified. The ability to measure and process these signals may help …

BioFace-3D: Continuous 3D facial reconstruction through lightweight single-ear biosensors

Y Wu, V Kakaraparthi, Z Li, T Pham, J Liu… - Proceedings of the 27th …, 2021 - dl.acm.org
Over the last decade, facial landmark tracking and 3D reconstruction have gained
considerable attention due to their numerous applications such as human-computer …

EMG-based facial gesture recognition through versatile elliptic basis function neural network

M Hamedi, SH Salleh, M Astaraki, AM Noor - Biomedical engineering …, 2013 - Springer
Background Recently, the recognition of different facial gestures using facial neuromuscular
activities has been proposed for human machine interfacing applications. Facial …

Machine-learning approaches for recognizing muscle activities involved in facial expressions captured by multi-channels surface electromyogram

Y Cai, Y Guo, H Jiang, MC Huang - Smart Health, 2018 - Elsevier
Facial expression recognition plays an important role on mimicking and synchronizing
person's mental activity. Various approaches have been employed for recognition on facial …

Fuzzy inference system based automatic Brunnstrom stage classification for upper-extremity rehabilitation

Z Zhang, Q Fang, X Gu - Expert Systems with Applications, 2014 - Elsevier
Post-stroke rehabilitation has been considered vitally important for improving the life quality
of stroke patients. In order to perform rehabilitation effectively, it is crucial to have a …