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 …

Research on the shared control technology for robotic wheelchairs based on topological map

F Wang, Y Liu, Y Zhang, Y Gao, L Xiao… - Industrial Robot: the …, 2020 - emerald.com
Purpose A robotic wheelchair system was designed to assist disabled people with
disabilities to walk. Design/methodology/approach An anticipated sharing control strategy …

Remote Control the Drone with SSVEP

CT Chang, LC Hung, CW Li - 2021 9th International …, 2021 - ieeexplore.ieee.org
This paper uses flash stimulus as a visual control signal, set 15Hz for forward, 17Hz for
backward, 19Hz for left turn, 21Hz for right turn, 25Hz for rise, and 27Hz for fall. We use the …

Feature Extraction on Brain Wave Activities in Rapid Serial Visual Presentation Stimulus

MF Amri, AR Yuliani, DE Kusumandari… - … on Radar, Antenna …, 2020 - ieeexplore.ieee.org
The images stimulus that appear rapidly and contain different frequencies might have an
effect on brain activities. This paper proposed how to determine a rapid visual stimulus and …

[PDF][PDF] Motor speed control toward wall surface angle based on HC-SR04 ultrasonic sensor

P Turnip, E Sitompul, BM Wibawa… - Proceedings of the …, 2020 - academia.edu
Brain-controlled wheelchair is an assisting device for patients with motor disabilities
controlled by brain waves. The convenience and security of users is the focus of the …

The development of a wheelchair control method based on sEMG signals

J Shi, X Ren, Z Liu, Z Chen, F Duan - Proceedings of 2017 Chinese …, 2018 - Springer
This paper proposed a control method of the electric wheelchair based on surface
electromyography (sEMG) signals. In this method, a mapping between hand motions and …

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 …