Applications of functional near-infrared spectroscopy (fNIRS) neuroimaging in exercise–cognition science: a systematic, methodology-focused review

F Herold, P Wiegel, F Scholkmann… - Journal of clinical medicine, 2018 - mdpi.com
For cognitive processes to function well, it is essential that the brain is optimally supplied
with oxygen and blood. In recent years, evidence has emerged suggesting that cerebral …

Emotion recognition for human-robot interaction: Recent advances and future perspectives

M Spezialetti, G Placidi, S Rossi - Frontiers in Robotics and AI, 2020 - frontiersin.org
A fascinating challenge in the field of human–robot interaction is the possibility to endow
robots with emotional intelligence in order to make the interaction more intuitive, genuine …

Brain computer interface: control signals review

RA Ramadan, AV Vasilakos - Neurocomputing, 2017 - Elsevier
Abstract Brain Computer Interface (BCI) is defined as a combination of hardware and
software that allows brain activities to control external devices or even computers. The …

Consumer grade EEG measuring sensors as research tools: A review

P Sawangjai, S Hompoonsup… - IEEE Sensors …, 2019 - ieeexplore.ieee.org
Since the launch of the first consumer grade EEG measuring sensorsNeuroSky Mindset'in
2007, the market has witnessed an introduction of at least one new product every year by …

EEG analytics for early detection of autism spectrum disorder: a data-driven approach

WJ Bosl, H Tager-Flusberg, CA Nelson - Scientific reports, 2018 - nature.com
Autism spectrum disorder (ASD) is a complex and heterogeneous disorder, diagnosed on
the basis of behavioral symptoms during the second year of life or later. Finding scalable …

[HTML][HTML] EEG-based emotion recognition: Review of commercial EEG devices and machine learning techniques

D Dadebayev, WW Goh, EX Tan - … of King Saud University-Computer and …, 2022 - Elsevier
Emotion recognition based on electroencephalography (EEG) signal features is now one of
the booming big data research areas. As the number of commercial EEG devices in the …

Choosing MUSE: Validation of a low-cost, portable EEG system for ERP research

OE Krigolson, CC Williams, A Norton… - Frontiers in …, 2017 - frontiersin.org
In recent years there has been an increase in the number of portable low-cost
electroencephalographic (EEG) systems available to researchers. However, to date the …

[HTML][HTML] Measuring human physiological indices for thermal comfort assessment through wearable devices: A review

SA Mansi, G Barone, C Forzano, I Pigliautile, M Ferrara… - Measurement, 2021 - Elsevier
Thermal comfort is defined as the condition of mind that expresses satisfaction with the
thermal environment and it is assessed by subjective evaluation. Achieving comfortable …

[HTML][HTML] Mobile EEG in research on neurodevelopmental disorders: Opportunities and challenges

A Lau-Zhu, MPH Lau, G McLoughlin - Developmental cognitive …, 2019 - Elsevier
Mobile electroencephalography (mobile EEG) represents a next-generation neuroscientific
technology–to study real-time brain activity–that is relatively inexpensive, non-invasive and …

Wearable devices for physical activity and healthcare monitoring in elderly people: A critical review

E Teixeira, H Fonseca, F Diniz-Sousa, L Veras… - Geriatrics, 2021 - mdpi.com
The availability of wearable devices (WDs) to collect biometric information and their use
during activities of daily living is significantly increasing in the general population. These …