Quo vadis artificial intelligence?

Y Jiang, X Li, H Luo, S Yin, O Kaynak - Discover Artificial Intelligence, 2022 - Springer
The study of artificial intelligence (AI) has been a continuous endeavor of scientists and
engineers for over 65 years. The simple contention is that human-created machines can do …

Interface, interaction, and intelligence in generalized brain–computer interfaces

X Gao, Y Wang, X Chen, S Gao - Trends in cognitive sciences, 2021 - cell.com
A brain–computer interface (BCI) establishes a direct communication channel between a
brain and an external device. With recent advances in neurotechnology and artificial …

Precision positioning for smart logistics using ultra-wideband technology-based indoor navigation: A review

M Elsanhoury, P Mäkelä, J Koljonen, P Välisuo… - Ieee …, 2022 - ieeexplore.ieee.org
Logistics is an important driver for the competitiveness of industries and material supply. The
development of smart logistics, powered by precise positioning and communication …

A review on EMG-based motor intention prediction of continuous human upper limb motion for human-robot collaboration

L Bi, C Guan - Biomedical Signal Processing and Control, 2019 - Elsevier
Electromyography (EMG) signal is one of the widely used biological signals for human motor
intention prediction, which is an essential element in human-robot collaboration systems …

Promises and limitations of human intracranial electroencephalography

J Parvizi, S Kastner - Nature neuroscience, 2018 - nature.com
Intracranial electroencephalography (iEEG), also known as electrocorticography when using
subdural grid electrodes or stereotactic EEG when using depth electrodes, is blossoming in …

Restoring motor control and sensory feedback in people with upper extremity amputations using arrays of 96 microelectrodes implanted in the median and ulnar …

TS Davis, HAC Wark, DT Hutchinson… - Journal of neural …, 2016 - iopscience.iop.org
Objective. An important goal of neuroprosthetic research is to establish bidirectional
communication between the user and new prosthetic limbs that are capable of controlling> …

Chronic embedded cortico-thalamic closed-loop deep brain stimulation for the treatment of essential tremor

E Opri, S Cernera, R Molina, RS Eisinger… - Science translational …, 2020 - science.org
Deep brain stimulation (DBS) is an approved therapy for the treatment of medically refractory
and severe movement disorders. However, most existing neurostimulators can only apply …

An electrocorticographic brain interface in an individual with tetraplegia

W Wang, JL Collinger, AD Degenhart… - PloS one, 2013 - journals.plos.org
Brain-computer interface (BCI) technology aims to help individuals with disability to control
assistive devices and reanimate paralyzed limbs. Our study investigated the feasibility of an …

Advances in closed-loop deep brain stimulation devices

M Parastarfeizabadi, AZ Kouzani - Journal of neuroengineering and …, 2017 - Springer
Background Millions of patients around the world are affected by neurological and
psychiatric disorders. Deep brain stimulation (DBS) is a device-based therapy that could …

Human-centric digital twins in industry: A comprehensive review of enabling technologies and implementation strategies

U Asad, M Khan, A Khalid, WA Lughmani - Sensors, 2023 - mdpi.com
The last decade saw the emergence of highly autonomous, flexible, re-configurable Cyber-
Physical Systems. Research in this domain has been enhanced by the use of high-fidelity …