Summary of over fifty years with brain-computer interfaces—a review

A Kawala-Sterniuk, N Browarska, A Al-Bakri, M Pelc… - Brain Sciences, 2021 - mdpi.com
Over the last few decades, the Brain-Computer Interfaces have been gradually making their
way to the epicenter of scientific interest. Many scientists from all around the world have …

[PDF][PDF] Recent Advances in Fatigue Detection Algorithm Based on EEG.

F Wang, Y Wan, M Li, H Huang, L Li… - … Automation & Soft …, 2023 - cdn.techscience.cn
Fatigue is a state commonly caused by overworked, which seriously affects daily work and
life. How to detect mental fatigue has always been a hot spot for researchers to explore …

Driving fatigue detection based on hybrid electroencephalography and eye tracking

Z Lian, T Xu, Z Yuan, J Li, N Thakor… - IEEE Journal of …, 2024 - ieeexplore.ieee.org
EEG-based unimodal method has demonstrated significant success in the detection of
driving fatigue. Nonetheless, data from a single modality might be not sufficient to optimize …

Implementation of a convolutional neural network for eye blink artifacts removal from the electroencephalography signal

M Jurczak, M Kołodziej, A Majkowski - Frontiers in neuroscience, 2022 - frontiersin.org
Electroencephalography (EEG) signals are disrupted by technical and physiological
artifacts. One of the most common artifacts is the natural activity that results from the …

Online interaction method of mobile robot based on single-channel EEG signal and end-to-end CNN with residual block model

Y Lu, H Wang, N Feng, D Jiang, C Wei - Advanced Engineering Informatics, 2022 - Elsevier
The development of alternative pathways to communicate with outside world independent
on language or limb motions is important. However, one of the challenges is the multi …

Quantifying differences between UGC and DMO's image content on Instagram using deep learning

Á Díaz-Pacheco, R Guerrero-Rodríguez… - … Technology & Tourism, 2024 - Springer
In the tourism industry, the implementation of effective strategies to promote destinations is
considered of utmost importance. Taking advantage of social media, Destination …

Frequency-encoded eye tracking smart contact lens for human–machine interaction

H Zhu, H Yang, S Xu, Y Ma, S Zhu, Z Mao… - Nature …, 2024 - nature.com
Eye tracking techniques enable high-efficient, natural, and effortless human-machine
interaction by detecting users' eye movements and decoding their attention and intentions …

Multi-sensory HMI for human-centric industrial digital twins: A 6G vision of future industry

B Han, HD Schotten - 2022 IEEE Symposium on Computers …, 2022 - ieeexplore.ieee.org
The next revolution of industry will turn the industries as well as the entire society into a
human-centric shape. The human presence in industrial environment and the human …

SmartLens: Sensing eye activities using zero-power contact lens

L Li, Y Xie, J Xiong, Z Hou, Y Zhang, Q We… - Proceedings of the 28th …, 2022 - dl.acm.org
As the most important organs of sense, human eyes perceive 80% information from our
surroundings. Eyeball movement is closely related to our brain health condition. Eyeball …

[HTML][HTML] Designing a practical fatigue detection system: A review on recent developments and challenges

MA Al Imran, F Nasirzadeh, C Karmakar - Journal of Safety Research, 2024 - Elsevier
Introduction Fatigue is considered to have a life-threatening effect on human health and it
has been an active field of research in different sectors. Deploying wearable physiological …