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 …

Artificial intelligence algorithms in visual evoked potential-based brain-computer interfaces for motor rehabilitation applications: systematic review and future directions

J Gutierrez-Martinez, JA Mercado-Gutierrez… - Frontiers in human …, 2021 - frontiersin.org
Brain-Computer Interface (BCI) is a technology that uses electroencephalographic (EEG)
signals to control external devices, such as Functional Electrical Stimulation (FES). Visual …

Prediction model for agro-tourism development using adaptive neuro-fuzzy inference system method

SA Andayani, S Umyati, Dinar, GM Tampubolon… - Open …, 2022 - degruyter.com
Indonesia is one of the most important centers for biodiversity in the world with the highest
level of endemism. Meanwhile, tourism is one of the important and strategic economic …

Brain-controlled wheelchair review: From wet electrode to dry electrode, from single modal to hybrid modal, from synchronous to asynchronous

H Wang, F Yan, T Xu, H Yin, P Chen, H Yue… - IEEE …, 2021 - ieeexplore.ieee.org
Brain-computer interface (BCI) is a novel human-computer interaction model, which does
not depend on the conventional output pathway (peripheral nerve and muscle tissue). In the …

Effects of Stimulus Frequency on Steady-State Visual Evoked Potential-Based Brain-Computer Interfaces

X Zheng, G Xu, K Zhang, S Zhang - Proceedings of the 2021 …, 2021 - dl.acm.org
The stimulus frequency is one of the essential parameters of visual stimuli in steady-state
visual evoked potentials (SSVEPs). This study aimed to explore the effects of stimulus …