[HTML][HTML] Progress in brain computer interface: Challenges and opportunities

S Saha, KA Mamun, K Ahmed, R Mostafa… - Frontiers in systems …, 2021 - frontiersin.org
Brain computer interfaces (BCI) provide a direct communication link between the brain and a
computer or other external devices. They offer an extended degree of freedom either by …

[HTML][HTML] Deep learning applications for IoT in health care: A systematic review

H Bolhasani, M Mohseni, AM Rahmani - Informatics in Medicine Unlocked, 2021 - Elsevier
In machine learning, deep learning is the most popular topic having a wide range of
applications such as computer vision, natural language processing, speech recognition …

Advantages and constraints of a hybrid model K-12 E-Learning assistant chatbot

EHK Wu, CH Lin, YY Ou, CZ Liu, WK Wang… - Ieee …, 2020 - ieeexplore.ieee.org
E-Learning has become more and more popular in recent years with the advance of new
technologies. Using their mobile devices, people can expand their knowledge anytime and …

A novel deep learning approach with data augmentation to classify motor imagery signals

Z Zhang, F Duan, J Sole-Casals… - IEEE …, 2019 - ieeexplore.ieee.org
Brain-computer interface provides a new communication bridge between the human mind
and devices, depending largely on the accurate classification and identification of non …

A comprehensive review of smart wheelchairs: past, present, and future

J Leaman, HM La - IEEE Transactions on Human-Machine …, 2017 - ieeexplore.ieee.org
A smart wheelchair (SW) is a power wheelchair (PW) to which computers, sensors, and
assistive technology are attached. In the past decade, there has been little effort to provide a …

Decision-making in driver-automation shared control: A review and perspectives

W Wang, X Na, D Cao, J Gong, J Xi… - IEEE/CAA Journal of …, 2020 - ieeexplore.ieee.org
Shared control schemes allow a human driver to work with an automated driving agent in
driver-vehicle systems while retaining the driverʼ s abilities to control. The human driver, as …

Hybrid brain/muscle signals powered wearable walking exoskeleton enhancing motor ability in climbing stairs activity

Z Li, Y Yuan, L Luo, W Su, K Zhao, C Xu… - … on Medical Robotics …, 2019 - ieeexplore.ieee.org
The powered exoskeleton promises substantial improvements on daily activities of the
people who need robots provide assistance. In order to achieve flexible and stable control of …

Optimized deep learning for EEG big data and seizure prediction BCI via internet of things

MP Hosseini, D Pompili, K Elisevich… - … Transactions on Big …, 2017 - ieeexplore.ieee.org
A brain-computer interface (BCI) for seizure prediction provides a means of controlling
epilepsy in medically refractory patients whose site of epileptogenicity cannot be resected …

A review of disability EEG based wheelchair control system: Coherent taxonomy, open challenges and recommendations

ZT Al-Qaysi, BB Zaidan, AA Zaidan… - Computer methods and …, 2018 - Elsevier
Context Intelligent wheelchair technology has recently been utilised to address several
mobility problems. Techniques based on brain–computer interface (BCI) are currently used …

Towards independence: a BCI telepresence robot for people with severe motor disabilities

R Leeb, L Tonin, M Rohm, L Desideri… - Proceedings of the …, 2015 - ieeexplore.ieee.org
This paper presents an important step forward towards increasing the independence of
people with severe motor disabilities, by using brain-computer interfaces to harness the …