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Kim, Sung-Phil (김성필)

Department
Department of Biomedical Engineering(바이오메디컬공학과)
Website
http://bci.unist.ac.kr
Lab
Brain-Computer Interface Lab. (뇌-컴퓨터 인터페이스 연구실)
Research Keywords
Brain-computer interface, Statistical Signal Processing, Neural Code
Research Interests
As a neuroengineering lab, we are conducting researches on how to establish interfaces to the brain to read out neural information for understanding brain mechanisms and developing technologies used for humans. Our research activities largely include a number of specific projects with different aims.  The research project of intracortical brain-computer interfaces (BCIs) aim to understand how neuronal activities encode information and to develop a system that harnesses intracortical neuronal signals to actuate external systems. Specifically, we are working on developing a bi-directional BCI to control a robotic arm by reading motor cortical activities and at the same time, to deliver somatosensory senses back to the brain by writing the code of senses directly to the somatosensory neurons. We anticipate that this type of BCIs will provide independence and enhanced quality of life to severely disabled persons.  Another research project builds a similar BCI system, but using non-invasive brain signals such as electroencephalography (EEG) to control home appliances of daily use. The non-invasive BCI system targets a wider range of populations to allow people to gain brain control over a variety of devices such as a TV set, a refrigerator, a smart LED system, and so on. We aim to achieve this goal by combining BCIs with augmented reality (AR) technology.  Other research projects aim to develop “neuro-tools” for various purposes. A neuromarketing project pursues to establish a set of tools to help understand cognitive and affective states of consumers by reading and analyzing brain activities. A biometric project develops novel biometrics based on individual brain responses elicited by unique stimulations. A multi-modal empathy assessment project attempts to build a systematic approach to evaluate one’s empathic capacity by measuring behavioral and neural activities as well as eye gaze during interaction with others. An automated home service project aims to develop a system that measures daily activities of a user from wearable devices, estimates the user’s mental and physical states and provides automated home service in accordance to the user states. Finally, a tactile learning project is concerned with building a model to learn tactile percepts from artificial tactile sensor signals, by mimicking the way the human somatosensory system works.  Take all these together, our lab ultimately aims to understand the brain better and utilize the brain information more effectively for human life.
This table browses all dspace content
Issue DateTitleAuthor(s)TypeViewAltmetrics
2021-09A Study on Facial Expression Change Detection Using Machine Learning Methods with Feature Selection TechniqueSung, Sang-Ha; Kim, Sangjin; Park, Byung-Kwon, et alARTICLE34 A Study on Facial Expression Change Detection Using Machine Learning Methods with Feature Selection Technique
2021-08Neural correlates of tactile hardness intensity perception during active graspingKim, Ji-Hyun; Kim, Junsuk; Yeon, Jiwon, et alARTICLE236 Neural correlates of tactile hardness intensity perception during active grasping
2021-06An artificial neural tactile sensing systemChun, Sungwoo; Kim, Jong-Seok; Yoo, Yongsang, et alARTICLE106 An artificial neural tactile sensing system
2021-05A Computer-Based Method for the Investigation of Human Behavior in the Iterative Chicken GameKim, Sung-Phil; Kim, Minju; Lee, Jongmin, et alARTICLE33 A Computer-Based Method for the Investigation of Human Behavior in the Iterative Chicken Game
2021-04Effect of Static Posture on Online Performance of P300-Based BCIs for TV ControlHeo, Dojin; Kim, Minju; Kim, Jongsu, et alARTICLE34 Effect of Static Posture on Online Performance of P300-Based BCIs for TV Control
2021-03Spatiotemporal Characteristics of Neural Dynamics in Theta Oscillations Related to the Inhibition of Habitual BehaviorKang, Jae-Hwan; Kim, Junsuk; Cho, Yang Seok, et alARTICLE70 Spatiotemporal Characteristics of Neural Dynamics in Theta Oscillations Related to the Inhibition of Habitual Behavior
2021-03OTT 요금제에 따른 콘텐츠 몰입도 연구이승지; 서승범; 이나영, et alARTICLE61 OTT 요금제에 따른 콘텐츠 몰입도 연구
2021-02Eye Fixation-Related Potentials during Visual Search on Acquaintance and Newly-Learned FacesLee, Seungji; Lee, Doyoung; Gil, Hyunjae, et alARTICLE70 Eye Fixation-Related Potentials during Visual Search on Acquaintance and Newly-Learned Faces
2021-02Extracting single-trial neural interaction using latent dynamical systems modelHuh, Namjung; Kim, Sung-Phil; Lee, Joonyeol, et alARTICLE52 Extracting single-trial neural interaction using latent dynamical systems model
2021-02Effects of Emotional Stimulations on the Online Operation of a P300-Based Brain-Computer InterfaceKim, Minju; Kim, Jongsu; Heo, Dojin, et alARTICLE112 Effects of Emotional Stimulations on the Online Operation of a P300-Based Brain-Computer Interface
2021-02Involvement of bilateral insula in brand extension evaluation: an fMRI studyYang, Taeyang; Kim, Ji-Hyun; Kim, Junsuk, et alARTICLE50 Involvement of bilateral insula in brand extension evaluation: an fMRI study
2020-12Korean Perceptions of Japanese Foods: A Neuroscience PerspectiveDoh, Saeran; Yang, Taeyang; Kim, Jihyun, et alARTICLE43 Korean Perceptions of Japanese Foods: A Neuroscience Perspective
2020-10Decoding Kinematic Information From Primary Motor Cortex Ensemble Activities Using a Deep Canonical Correlation AnalysisKim, Min-Ki; Sohn, Jeong-Woo; Kim, Sung-PhilARTICLE207 Decoding Kinematic Information From Primary Motor Cortex Ensemble Activities Using a Deep Canonical Correlation Analysis
2020-10Improvement of P300-Based Brain-Computer Interfaces for Home Appliances Control by Data Balancing TechniquesLee, Taejun; Kim, Minju; Kim, Sung-PhilARTICLE126 Improvement of P300-Based Brain-Computer Interfaces for Home Appliances Control by Data Balancing Techniques
2020-10운동 재활을 위한 비침습적 뇌-컴퓨터 인터페이스오은서; 김성필ARTICLE46
2020-09Editorial: Tactile Intelligence in RobotsKim, Sung-Phil; Wallraven, Christian; Duchaine, VincentARTICLE87 Editorial: Tactile Intelligence in Robots
2020-03Perception of surface stickiness in different sensory modalities: an functional MRI studySo, Yosup; Kim, Sung-Phil; Kim, JunsukARTICLE343 Perception of surface stickiness in different sensory modalities: an functional MRI study
2020-02Detection of Drivers' Anxiety Invoked by Driving Situations Using Multimodal BiosignalsLee, Seungji; Lee, Taejun; Yang, Taeyang, et alARTICLE211 Detection of Drivers' Anxiety Invoked by Driving Situations Using Multimodal Biosignals
2019-12A Spike Train Distance Robust to Firing Rate Changes Based on the Earth Mover's DistanceSihn, Duho; Kim, Sung-PhilARTICLE725 A Spike Train Distance Robust to Firing Rate Changes Based on the Earth Mover's Distance
2019-09Online home appliance control using EEG-Based brain-computer interfacesKim, Minju; Kim, Min-Ki; Hwang, Minho, et alARTICLE327 Online home appliance control using EEG-Based brain-computer interfaces

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