NEURO-HYBRID INTELLIGENCE

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

Affective Intelligence
Biomedical Intelligence/AI for Healthcare

Deep Physiological Affect Network for Emotion Monitoring

We propose a robust physiological model for the recognition of human emotions, which is based on a Convolutional Long Short-Term Memory network and a temporal margin-based loss function. Formulating the emotion recognition problem as Read more…

By , 7 years ago April 19, 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

Animal Computing

Automatic analysis of animal behaviors using deep learning techniques

By , 7 years ago April 15, 2018

Animal Computing

Rat’s responding behavior to prey-like virtual objects

We exposed rats to various virtual objects on screen and measured their target-oriented behavior using a deep learning algorithm. Rats show more and interactions with interactive object, which is dislocated by touching it, compared Read more…

By , 7 years ago February 19, 2018

Animal Computing

Discriminative orientation cue-dependent spatial navigation in mice

Animals use spatial or visual cues in order to find the correct route during navigation. Although some social animals understand human pointing, it remains unclear whether rodents can use externally given instructions for spatial Read more…

By , 7 years ago January 8, 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

Muscle-Machine Interfaces

Personalized gesture-based interface

This work propose a personalized protocol for muscle computer interface that uses finger movements as input commands. In previous studies, the same finger movements have been used for all subjects without considering personal characteristics. Finger Read more…

By , 8 years ago January 15, 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

Muscle-Machine Interfaces

EMG-based control and analysis

This work suggests a supervised hierarchical Bayesian model for surface electromyography (sEMG)-based motion classification and its strategy analysis. The proposed model unifies the optimal feature extraction and classification through probabilistic inference and learning by identifying Read more…

By , 12 years ago October 14, 2013