Noninvasive electroencephalography equipment for assistive, adaptive, and rehabilitative brain–computer interfaces: a systematic literature review

N Jamil, AN Belkacem, S Ouhbi, A Lakas - Sensors, 2021 - mdpi.com
Humans interact with computers through various devices. Such interactions may not require
any physical movement, thus aiding people with severe motor disabilities in communicating …

Smart infrastructure: a vision for the role of the civil engineering profession in smart cities

EZ Berglund, JG Monroe, I Ahmed… - Journal of …, 2020 - ascelibrary.org
Smart city programs provide a range of technologies that can be applied to solve
infrastructure problems associated with ageing infrastructure and increasing demands. The …

Toward workload-based adaptive automation: The utility of fNIRS for measuring load in multiple resources in the brain

LM Hirshfield, C Wickens, E Doherty… - … Journal of Human …, 2024 - Taylor & Francis
We investigate the utility of functional near-infrared spectroscopy (fNIRS) for workload-based
adaptive automation through the lens of multiple resource theory. We focus on the criteria of …

Human–machine interface: multiclass classification by machine learning on 1D EOG Signals for the Control of an Omnidirectional Robot

FD Pérez-Reynoso, L Rodríguez-Guerrero… - Sensors, 2021 - mdpi.com
People with severe disabilities require assistance to perform their routine activities; a Human–
Machine Interface (HMI) will allow them to activate devices that respond according to their …

Electro-encephalography and electro-oculography in aeronautics: A review over the last decade (2010–2020)

C Belkhiria, V Peysakhovich - Frontiers in Neuroergonomics, 2020 - frontiersin.org
Electro-encephalography (EEG) and electro-oculography (EOG) are methods of
electrophysiological monitoring that have potentially fruitful applications in neuroscience …

EEG-based empathic safe cobot

A Borboni, I Elamvazuthi, N Cusano - Machines, 2022 - mdpi.com
An empathic collaborative robot (cobot) was realized through the transmission of fear from a
human agent to a robot agent. Such empathy was induced through an …

Application of digital-intelligence technology in the processing of Chinese materia medica

W Zhang, C Zhang, L Cao, F Liang, W Xie… - Frontiers in …, 2023 - frontiersin.org
Processing of Chinese Materia Medica (PCMM) is the concentrated embodiment, which is
the core of Chinese unique traditional pharmaceutical technology. The processing includes …

[HTML][HTML] Personalized Deep Learning for Substance Use in Hawaii: Protocol for a Passive Sensing and Ecological Momentary Assessment Study

Y Sun, A Kargarandehkordi, C Slade… - JMIR Research …, 2024 - researchprotocols.org
Background Artificial intelligence (AI)–powered digital therapies that detect
methamphetamine cravings via consumer devices have the potential to reduce health care …

一种脑肢融合的神经康复训练在线评价与调整方法

舒智林, 李思宜, 于宁波, 朱志中, 巫嘉陵, 韩建达 - 自动化学报, 2022 - aas.net.cn
在神经康复训练中, 保持患者积极主动参与, 提供适配其运动能力的训练难度,
对于取得良好的康复效果至关重要. 针对患者在长期康复训练过程中容易懈怠甚至出现惰性效应 …

Advanced intelligent control through versatile intelligent portable platforms

L Vladareanu - Sensors, 2020 - mdpi.com
Deep research and communicating new trends in the design, control and applications of the
real time control of intelligent sensors systems using advanced intelligent control methods …