This paper explores two methodologies for drowsiness detection using EEG signals in a sustained-attention driving task considering pre-event time windows, and focusing on cross-subject zero calibration. Driving accidents are major cause of injuries deaths the road. A considerable portion those due to fatigue drowsiness. Advanced driver assistance systems that could detect mental states which associated with hazardous situations, such as drowsiness, critical importance. used widely...

Brain-computer interface (BCI) is a useful device for people with severe motor disabilities. However, due to its low speed and reliability, BCI still has very limited application in daily real-world tasks. This paper proposes P300-based speller combined double error-related potential (ErrP) detection automatically correct erroneous decisions. novel approach introduces second error infer whether wrong automatic correction also elicits ErrP. Thus, two single-trial responses, instead of one,...

Brain-controlled wheelchairs (BCWs) are a promising solution for people with severe motor disabilities, who cannot use conventional interfaces. However, the low reliability of electroencephalographic signal decoding and high user's workload imposed by continuous control wheelchair requires effective approaches. In this article, we propose self-paced P300-based brain-computer interface (BCI) combined dynamic time-window commands collaborative controller. The approach allows users to switch...

This paper presents a new P300 paradigm for brain computer interface. Visual stimuli consisting of 8 arrows randomly intensified are used direction target selection wheelchair steering. The classification is based on Bayesian approach that uses prior statistical knowledge and non-target components. Recorded activity from several channels combined with sensor fusion then events grouped to improve event detection. system has an adaptive performance adapts user pattern quality. algorithms were...

This paper presents a non-invasive Brain Computer Interface (BCI) game that is inspired on the Tetris game. The BCI-Tetris presented in three different versions. Two versions based P300 event related potential (ERP), and one version combines ERP with control of sensorimotor rhythms. being developed to be tested pilot experiments children attention-deficit hyperactivity disorder (ADHD). results reported this study able-bodied participants show can effectively controlled.

This article presents a new hybrid motion (HM) planner, designed to allow robust indoor navigation in constrained environments of nonholonomic differential robots, such as RobChair, the brain-actuated robotic wheelchair from Institute Systems and Robotics, University Coimbra, Portugal. Relying on this planning algorithm, RobChair is now able operate real dynamic perform challenging maneuvers narrow spaces. The HM planner integrates deliberative reactive modules three-layer structure: fast...

In this paper, a novel algorithm is proposed with application in sleep/awake detection and multiclass sleep stage classification (awake, non rapid eye movement (NREM) REM sleep). turn, NREM further divided into three stages denoted here by S1, S2, S3. Six electroencephalographic (EEG) two electro-oculographic (EOG) channels were used study. The maximum overlap discrete wavelet transform (MODWT) the multi-resolution Analysis applied to extract relevant features from EEG EOG signals. extracted...

The achievement of multiple instances control with the same type mental strategy represents a way to improve flexibility brain-computer interface (BCI) systems. Here we test hypothesis that pure visual motion imagery an external actuator can be used as tool achieve three classes electroencephalographic (EEG) based control, which might useful in attention disorders.We hypothesize different numbers imagined alternations lead distinctive signals, predicted by distinct patterns. Accordingly,...

Abstract Objective. Error-related potential (ErrP) is a elicited in the brain when humans perceive an error. ErrPs have been researched variety of contexts, such as to increase reliability brain–computer interfaces (BCIs), naturalness human–machine interaction systems, teach well study clinical conditions. Still, there significant challenge detecting ErrP from single trial, which may hamper its effective use. The literature presents detection accuracies quite variable across studies, raises...

Introdução: O manejo cirúrgico do Trauma Cranioencefálico Grave em crianças envolve abordagens específicas para minimizar danos e promover a recuperação. A avaliação inicial é crucial deve incluir realização de exames imagem determinar gravidade o tipo lesão. As intervenções cirúrgicas geralmente visam descompressão craniana, remoção hematomas ou correção fraturas. escolha procedimento depende da apresentação clínica condição neurológica criança. acompanhamento pós-operatório essencial...

Motor imagery (MI)-based brain-computer interface (BCI) systems are being increasingly employed to provide alternative means of communication and control for people suffering from neuro-motor impairments, with a special effort bring these out the controlled lab environments. Hence, accurately classifying MI brain signals, e.g., electroencephalography (EEG), is essential obtain reliable BCI systems. However, classification still challenging task, because signals characterized by poor SNR,...

This paper presents a new shared-control approach for assistive mobile robots, using Brain Computer Interface (BCI) as the Human-Machine (HMI). A P300-based paradigm that allows selection of brain-actuated commands to steer Robotic Wheelchair (RW), is proposed. At least one specific motor skill, such control arms, legs, head or voice, required operate conventional HMI. Due this reason, they are not suited people suffering from severe disorders. BCI may open communication channel these users,...

With its acquisition of muscular potentials linked to displays affective state, facial Electromyography (EMG) is the most fitting physiological signal for performing emotional expressions detection. EMG and computer vision-based recognition have very different strengths weaknesses, but their information may complement each other. Additionally, Electrooculographic (EOG) signals can enable gaze tracking detection eye movements, blinks saccades cannot directly indicate state. In this paper, we...

Over the past few years, virtual and mixed reality systems have evolved significantly yielding high immersive experiences. Most of metaphors used for interaction with environment do not provide same meaningful feedback, to which users are in real world. This paper proposes a cyber-glove improve sensation degree embodiment tasks. In particular, we proposing system that tracks wrist movements, hand orientation finger movements. It provides decoupled position hand, can contribute better...

A brain-computer interface (BCI) translates brain signals into commands that can be used to control computer applications or external devices. BCI provides a non-muscular communication channel and therefore it assumes crucial importance for individuals with motor functions severely affected. The evaluation of by severe disabilities is utmost understand the feasibility as an assistive technology. This paper summarizes some results achieved in our research lab, different BCIs tested...

Brain-computer interface (BCI) opens a new communication channel for individuals with severe motor disorders. In P300-based BCIs, gazing the target event plays an important role in BCI performance. Individuals who have their eye movements affected may lose ability to gaze targets that are visual periphery. This paper presents novel paradigm called independent block speller (GIBS), and compares its performance of standard row-column (RC) speller. GIBS requires extra selections blocks letters....

This paper presents a brain-computer interface game that controls spacecraft has to avoid obstacles in space route. The neural mechanism is based on steady state visually evoked potentials (SSVEP) combined with phase tagging. Two flickering stimuli are used move the left or right. tagged offset of 180° between them. Phase extraction applied narrowband frequency SSVEP. frequencies were selected 3-5 Hz range provides high level comfort. being developed be tested as neurotherapy tool for...

Powered wheelchairs provide the only means of mobility for many people with severe motor disabilities. For those both lower and upper limbs impairment, available interfaces may be either impossible or very difficult to use, as well not efficient. In this paper we propose an egocentric interface based on inertial sensors placed user's head. This is head movements that continuous direction speed commands steer wheelchair, allows initial null-position according natural posture user. However,...