Brain-Computer Interfaces

Affective Intelligence
Biomedical Intelligence/AI for Healthcare
Brain-Computer Interfaces

Affect-driven Robot Behavior Learning System using EEG

Learning from human feedback using event related electroencephalography (EEG) signals has attracted extensive attention recently owing to their intuitive communication ability by decoding user intentions. However, this approach requires users to perform specified tasks and Read more…

By , 4 years ago September 8, 2021

Biomedical Intelligence/AI for Healthcare
Brain-Computer Interfaces

Speech imagery ear-EEG BCI

We develop a wearable ear-EEG acquisition tool and directly compared its performance with a conventional 32-channel scalp-EEG setup in a multi-class speech imagery classification task. Our system uses Riemannian tangent space projection of EEG covariance Read more…

By , 5 years ago November 12, 2020

Brain-Computer Interfaces
Sensory Intelligence

Deep Riemannian Geometric BCI

We propose a new Riemannian-based deep learning network to generate more discriminative features for electroencephalogram (EEG) classification. Our key innovation lies in learning the Riemannian barycenter for each class within a Riemannian geometric space. The Read more…

By , 5 years ago October 8, 2020

Brain-Computer Interfaces

Explanatory efficacy for evaluating interaction between human and AI

Despite recent advances in the field of explainable artificial intelligence systems, a concrete quantitative measure for evaluating the usability of such systems is nonexistent. Ensuring the success of an explanatory interface in interacting with users Read more…

By , 5 years ago August 11, 2020

Biomedical Intelligence/AI for Healthcare
Brain-Computer Interfaces

Motor Imagery-based BCI with Immersive Virtual Reality

Visual information plays an essential role in enhancing neural activity during mental practices. This study therefore hypothesized that applying immersive virtual reality headsets, with their ability to provide rich immersion and illusion by presenting egocentrically Read more…

By , 5 years ago May 23, 2020

Affective Intelligence
Brain-Computer Interfaces

Daily life emotion dynamics tracking through wearable device

Past research on recognizing human affect has made use of a variety of physiological sensors in many ways. Nonetheless, how affective dynamics are influenced in the context of human daily life has not yet been Read more…

By , 7 years ago November 14, 2018

Affective Intelligence
Brain-Computer Interfaces

Affective situation labeling for emotion recognition in daily life

This study proposes a computational framework for providing affective labels to real-life situations. We first define an affective situation as a specific arrangement of affective entities relevant to emotion elicitation in an affective situation. Then, Read more…

By , 7 years ago November 1, 2018

Brain-Computer Interfaces

Ear EEG recording device

By , 7 years ago April 17, 2018

Brain-Computer Interfaces

P300-based authenticiation system

This work presents a two-factor authentication system that utilizes the knowledge factor: the knowledge of client’s acquaintances as the key and inherence factor: P300 ERP responses to the visual stimuli as the medium. The system Read more…

By , 7 years ago April 16, 2018

Brain-Computer Interfaces

Auditory BCI with ASSR and P300 hybrid

This investigation introduces a hybrid auditory BCI that utilizes and combines auditory steady state response (ASSR) and spatial-auditory P300 BCI to improve the performance for the auditory BCI system. The system works by simultaneously presenting Read more…

By , 8 years ago October 20, 2017

Animal Computing
Brain-Computer Interfaces

Turtle’s navigation control with human brain activity

Brain-computer interface techniques have advanced to a level where it is now possible to read human thoughts and use them to control machines such as robots or air vehicles, thus eliminating the need for hand-based Read more…

By , 9 years ago July 15, 2016

Brain-Computer Interfaces

Glasses interface for controlling things

we designed a wearable glasses- type device that enables the interaction using eye movements and brain activity. The wearable design minimizes the behavioral restrictions in a daily life scenario. Furthermore, our device uses a natural Read more…

By , 10 years ago January 14, 2015

Brain-Computer Interfaces

Hybrid interface based on EEG and eye movement

This work presents a low-cost noninvasive brain computer interface (BCI) hybridized with eye tracking and discusses its feasibility through a Fitts law-based quantitative evaluation method. Noninvasive BCI has been gaining attention. However, limited bandwidth still Read more…

By , 11 years ago November 14, 2014

Brain-Computer Interfaces

Hybrid BCI-based control of quadcopter flight

We propose a wearable hybrid interface where eye movements and mental concentration directly influence the control of a quadcopter in three-dimensional space. This noninvasive and low-cost interface addresses limitations in previous work by supporting users Read more…

By , 11 years ago August 14, 2014

Brain-Computer Interfaces

A low-cost EEG headset-based Hybrid BCI for real-time humanoid navigation / exploration and recognition

This work describes a hybrid brain computer interface (BCI) technique that combines the P300 potential, the steady state visually evoked potential (SSVEP), and event-related de-synchronization (ERD) to solve a complicated multi-task problem consisting of humanoid Read more…

By , 12 years ago September 12, 2013

Brain-Computer Interfaces

Brain-actuated humanoid

The brain-computer interface (BCI) technique is a novel control interface to translate human intentions into appropriate motion commands for robotic systems. The aim of this study is to apply an asynchronous direct-control system for humanoid Read more…

By , 13 years ago June 1, 2012