Review of semi-dry electrodes for EEG recording

GL Li, JT Wu, YH Xia, QG He… - Journal of Neural …, 2020 - iopscience.iop.org
Developing reliable and user-friendly electroencephalography (EEG) electrodes remains a
challenge for emerging real-world EEG applications. Classic wet electrodes are the gold …

A review of the methodology and applications of anthropometry in ergonomics and product design

I Dianat, J Molenbroek, HI Castellucci - Ergonomics, 2018 - Taylor & Francis
Anthropometry is a key element of ergonomic studies for addressing the problem of fitting
the tasks/products to user characteristics, but there is a gap between anthropometric data …

Emotion recognition from EEG signals using empirical mode decomposition and second-order difference plot

N Salankar, P Mishra, L Garg - Biomedical Signal Processing and Control, 2021 - Elsevier
Emotion recognition from electroencephalography (EEG) signals is a very cost-effective
method to monitor the general well-being of an individual, an employee of an organization …

A systematic review of hybrid brain-computer interfaces: Taxonomy and usability perspectives

I Choi, I Rhiu, Y Lee, MH Yun, CS Nam - PloS one, 2017 - journals.plos.org
A new Brain-Computer Interface (BCI) technique, which is called a hybrid BCI, has recently
been proposed to address the limitations of conventional single BCI system. Although some …

Advanced bioelectrical signal processing methods: Past, present and future approach—Part II: Brain signals

R Martinek, M Ladrova, M Sidikova, R Jaros… - Sensors, 2021 - mdpi.com
As it was mentioned in the previous part of this work (Part I)—the advanced signal
processing methods are one of the quickest and the most dynamically developing scientific …

A feasibility study of a complete low-cost consumer-grade brain-computer interface system

V Peterson, C Galván, H Hernández, R Spies - Heliyon, 2020 - cell.com
Brain-computer interfaces (BCIs) are technologies that provide the user with an alternative
way of communication. A BCI measures brain activity (eg EEG) and converts it into output …

Customize my helmet: a novel algorithmic approach based on 3D head prediction

J Zhang, Y Luximon, P Shah, K Zhou, P Li - Computer-Aided Design, 2022 - Elsevier
Anthropometric knowledge of the 3D head forms is essential for the individual headgear
customization. In 3D complete-head scanning, the face region is easily captured, but the …

3D statistical head modeling for face/head-related product design: a state-of-the-art review

J Zhang, Y Luximon, P Shah, P Li - Computer-Aided Design, 2023 - Elsevier
In the field of face/head-related product design, 3D statistical models (3DSMs) of human
heads and faces are widely used to model geometric variations, generate representative …

Anthropometric characteristics and product categorization of Chinese auricles for ergonomic design

H Fan, S Yu, J Chu, M Wang, D Chen, S Zhang… - International Journal of …, 2019 - Elsevier
The purpose of this study is to provide summarized anthropometric data and ergonomic
characteristics about Chinese auricles and categorization modes of anthropometric …

Design and Validation of a Low-Cost Mobile EEG-Based Brain–Computer Interface

A Craik, JJ González-España, A Alamir, D Edquilang… - Sensors, 2023 - mdpi.com
Objective: We designed and validated a wireless, low-cost, easy-to-use, mobile, dry-
electrode headset for scalp electroencephalography (EEG) recordings for closed-loop brain …