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 …

A review on utilizing machine learning technology in the fields of electronic emergency triage and patient priority systems in telemedicine: Coherent taxonomy …

OH Salman, Z Taha, MQ Alsabah, YS Hussein… - Computer Methods and …, 2021 - Elsevier
Background With the remarkable increasing in the numbers of patients, the triaging and
prioritizing patients into multi-emergency level is required to accommodate all the patients …

Motor-imagery EEG-based BCIs in wheelchair movement and control: A systematic literature review

A Palumbo, V Gramigna, B Calabrese, N Ielpo - Sensors, 2021 - mdpi.com
The pandemic emergency of the coronavirus disease 2019 (COVID-19) shed light on the
need for innovative aids, devices, and assistive technologies to enable people with severe …

Safety concerns emerging from robots navigating in crowded pedestrian areas

P Salvini, D Paez-Granados, A Billard - International Journal of Social …, 2022 - Springer
The slogan “robots will pervade our environment” has become a reality. Drones and ground
robots are used for commercial purposes while semi-autonomous driving systems are …

Use of artificial intelligence techniques to assist individuals with physical disabilities

S Pancholi, JP Wachs… - Annual Review of …, 2024 - annualreviews.org
Assistive technologies (AT) enable people with disabilities to perform activities of daily living
more independently, have greater access to community and healthcare services, and be …

Learning to control a BMI-driven wheelchair for people with severe tetraplegia

L Tonin, S Perdikis, TD Kuzu, J Pardo, B Orset, K Lee… - Iscience, 2022 - cell.com
Mind-controlled wheelchairs are an intriguing assistive mobility solution applicable in
complete paralysis. Despite progress in brain-machine interface (BMI) technology, its …

A path planning method using adaptive polymorphic ant colony algorithm for smart wheelchairs

Z Jiao, K Ma, Y Rong, P Wang, H Zhang… - Journal of Computational …, 2018 - Elsevier
In many cases, users of smart wheelchairs have difficulties with daily maneuvering tasks and
would benefit from an automated navigation system. With multi-colony division and …

A systematic review of robotics research in support of in-home care for older adults

A Abou Allaban, M Wang, T Padır - Information, 2020 - mdpi.com
The aging population is growing at an unprecedented rate globally and robotics-enabled
solutions are being developed to provide better independent living for older adults. In this …

Understanding wheelchair users' preferences for on-body, in-air, and on-wheelchair gestures

LB Bilius, OC Ungurean, RD Vatavu - … of the 2023 CHI Conference on …, 2023 - dl.acm.org
We present empirical results from a gesture elicitation study conducted with eleven
wheelchair users that proposed on-body, in-air, and on-wheelchair gestures to effect twenty …

Steering a robotic wheelchair based on voice recognition system using convolutional neural networks

M Bakouri, M Alsehaimi, HF Ismail, K Alshareef… - Electronics, 2022 - mdpi.com
Many wheelchair people depend on others to control the movement of their wheelchairs,
which significantly influences their independence and quality of life. Smart wheelchairs offer …