Journal ArticleDOI
EEG-Based Brain-Controlled Mobile Robots: A Survey
Luzheng Bi,Xin-an Fan,Yili Liu +2 more
Reads0
Chats0
TLDR
A comprehensive review of the complete systems, key techniques, and evaluation issues of brain-controlled mobile robots along with some insights into related future research and development issues is provided.Abstract:
EEG-based brain-controlled mobile robots can serve as powerful aids for severely disabled people in their daily life, especially to help them move voluntarily. In this paper, we provide a comprehensive review of the complete systems, key techniques, and evaluation issues of brain-controlled mobile robots along with some insights into related future research and development issues. We first review and classify various complete systems of brain-controlled mobile robots into two categories from the perspective of their operational modes. We then describe key techniques that are used in these brain-controlled mobile robots including the brain-computer interface techniques and shared control techniques. This description is followed by an analysis of the evaluation issues of brain-controlled mobile robots including participants, tasks and environments, and evaluation metrics. We conclude this paper with a discussion of the current challenges and future research directions.read more
Citations
More filters
Journal ArticleDOI
Brainwave Controlled Robot Using Bluetooth
TL;DR: The intention of the project work is to develop a robot that can assist the disabled people in their daily life to do some work independent on others by analysing the brain wave signals.
Journal ArticleDOI
Electroencephalography Signal Grouping and Feature Classification Using Harmony Search for BCI
TL;DR: A heuristic method for electroencephalography grouping and feature classification using harmony search (HS) for improving the accuracy of the brain-computer interface (BCI) system and is beneficial for EEG signal analysis.
Proceedings ArticleDOI
Brain Computer Interface based Arduino Home Automation System for Physically Challenged
TL;DR: In this paper, the authors proposed a brain sense headset that interprets the signals from human brain and converts them into actions using the raw waveform and processed towards the Arduino controller by using Bluetooth module.
Journal ArticleDOI
Sliding-Mode Nonlinear Predictive Control of Brain-Controlled Mobile Robots
TL;DR: In this paper , a robust sliding-mode nonlinear predictive controller for brain-controlled robots with enhanced performance, safety, and robustness is developed by cascading a predictive controller and a smooth sliding mode controller, which integrates human intention tracking with safety guarantee objectives into an optimization problem to minimize the invasion to human intention while maintaining robot safety.
DissertationDOI
SSVEP-based BCI with visual stimuli from LCD screen applied for wheelchair control: offline and online investigations
TL;DR: This dissertation aims to develop and investigate the performance of a SSVEP-based BCI system using LCD monitor as visual stimulator applied for wheelchair control, and shows a good performance while using a 3 seconds time-window with 250 ms of overlap.
References
More filters
Journal ArticleDOI
EEGLAB: an open source toolbox for analysis of single-trial EEG dynamics including independent component analysis.
Arnaud Delorme,Scott Makeig +1 more
TL;DR: EELAB as mentioned in this paper is a toolbox and graphic user interface for processing collections of single-trial and/or averaged EEG data of any number of channels, including EEG data, channel and event information importing, data visualization (scrolling, scalp map and dipole model plotting, plus multi-trial ERP-image plots), preprocessing (including artifact rejection, filtering, epoch selection, and averaging), Independent Component Analysis (ICA) and time/frequency decomposition including channel and component cross-coherence supported by bootstrap statistical methods based on data resampling.
Journal ArticleDOI
Event-related EEG/MEG synchronization and desynchronization: basic principles.
TL;DR: Quantification of ERD/ERS in time and space is demonstrated on data from a number of movement experiments, whereby either the same or different locations on the scalp can display ERD and ERS simultaneously.
Journal ArticleDOI
Talking off the top of your head: toward a mental prosthesis utilizing event-related brain potentials
TL;DR: The analyses suggest that this communication channel can be operated accurately at the rate of 0.20 bits/sec, which means that subjects can communicate 12.0 bits, or 2.3 characters, per min.
Journal ArticleDOI
Removing electroencephalographic artifacts by blind source separation.
Tzyy-Ping Jung,Tzyy-Ping Jung,Scott Makeig,Colin Humphries,Te-Won Lee,Te-Won Lee,Martin J. McKeown,Vicente J. Iragui,Terrence J. Sejnowski,Terrence J. Sejnowski +9 more
TL;DR: The results on EEG data collected from normal and autistic subjects show that ICA can effectively detect, separate, and remove contamination from a wide variety of artifactual sources in EEG records with results comparing favorably with those obtained using regression and PCA methods.
Journal ArticleDOI
BCI2000: a general-purpose brain-computer interface (BCI) system
TL;DR: This report is intended to describe to investigators, biomedical engineers, and computer scientists the concepts that the BCI2000 system is based upon and gives examples of successful BCI implementations using this system.