Researcher Page

Jo, Sung-Ho (조성호)
교수, School of Computing(전산학부)
Research Area
Human-­Robot Interaction, Intelligent System Design, Interactive Computing
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    NO Title, Author(s) (Publication Title, Volume Issue, Page, Issue Date)
    Learning Fingertip Force to Grasp Deformable Objects for Soft Wearable Robotic Glove With TSM

    Rho, Eojin; Kim, Daekyum; Lee, Hochang; et al, IEEE ROBOTICS AND AUTOMATION LETTERS, v.6, no.4, pp.8126 - 8133, 2021-10

    Single to Multi: Data-Driven High Resolution Calibration Method for Piezoresistive Sensor Array

    Kim, Min; Choi, Hyungmin; Cho, Kyu-Jin; et al, IEEE ROBOTICS AND AUTOMATION LETTERS, v.6, no.3, pp.4970 - 4977, 2021-07

    Speech-imagery-based brain-computer interface system using ear-EEG

    Kaongoen, Netiwit; Choi, Jaehoon; Jo, Sunghoresearcher, JOURNAL OF NEURAL ENGINEERING, v.18, no.1, 2021-02

    Review of machine learning methods in soft robotics

    Kim, Daekyum; Kim, Sang-Hun; Kim, Taekyoung; et al, PLOS ONE, v.16, no.2, pp.e0246102, 2021-02

    Improving performance in motor imagery BCI-based control applications via virtually embodied feedback

    Choi, Jin Woo; Huh,Sejoon; Jo, Sung-Horesearcher, COMPUTERS IN BIOLOGY AND MEDICINE, v.127, pp.104079, 2020-12

    Improved explanatory efficacy on human affect and workload through interactive process in artificial intelligence

    Kim, Byung Hyungresearcher; Koh, Seunghun; Huh, Sejoon; et al, IEEE ACCESS, v.8, pp.189013 - 189024, 2020-10

    A-Situ: a computational framework for affective labeling from psychological behaviors in real-life situations

    Kim, Byung Hyungresearcher; Jo, Sunghoresearcher; Choi, Sungheeresearcher, SCIENTIFIC REPORTS, v.10, no.1, pp.15916, 2020-09

    Online coverage and inspection planning for 3D modeling

    Song, Soohwan; Kim, Daekyum; Jo, Sung-Horesearcher, AUTONOMOUS ROBOTS, v.44, no.8, pp.1431 - 1450, 2020-08

    Interactive virtual objects attract attention and induce exploratory behaviours in rats

    Kim, Daekyum; Jeong, Yong-Cheol; Park, Chanmin; et al, BEHAVIOURAL BRAIN RESEARCH, v.392, no.17, 2020-08

    Observing Actions through Immersive Virtual Reality Enhances Motor Imagery Training

    Choi, Jin Woo; Kim, Byung Hyung; Huh, Sejoon; et al, IEEE TRANSACTIONS ON NEURAL SYSTEMS AND REHABILITATION ENGINEERING, v.28, no.7, pp.1614 - 1622, 2020-07

    Data-driven analysis using multiple self-report questionnaires to identify college students at high risk of depressive disorder

    Choi, Bongjae; Shim, Geumsook; Jeong, Bumseokresearcher; et al, SCIENTIFIC REPORTS, v.10, no.1, pp.7867, 2020-05

    A deep-learned skin sensor decoding the epicentral human motions

    Kim, Kyun Kyu; Ha, Inho; Kim, Min; et al, NATURE COMMUNICATIONS, v.11, no.1, 2020-05

    Deep Physiological Affect Network for the Recognition of Human Emotions

    Kim, Byung Hyung; Jo, Sunghoresearcher, IEEE TRANSACTIONS ON AFFECTIVE COMPUTING, v.11, no.2, pp.230 - 243, 2020-04

    Two-Factor Authentication System Using P300 Response to a Sequence of Human Photographs

    Kaongoen, Netiwit; Yu, Moonwon; Jo, Sung-Horesearcher, IEEE TRANSACTIONS ON SYSTEMS MAN CYBERNETICS-SYSTEMS, v.50, no.3, pp.1178 - 1185, 2020-03

    Learning-Based Fingertip Force Estimation for Soft Wearable Hand Robot with Tendon-Sheath Mechanism

    Kang, Brian Byunghyun; Kim, Daekyum; Choi, Hyungmin; et al, IEEE ROBOTICS AND AUTOMATION LETTERS, v.5, no.2, pp.946 - 953, 2020-01

    Bayesian Weight Decay on Bounded Approximation for Deep Convolutional Neural Networks

    Park, Jung Guk; Jo, Sung-Horesearcher, IEEE TRANSACTIONS ON NEURAL NETWORKS AND LEARNING SYSTEMS, v.30, no.9, pp.2866 - 2875, 2019-09

    Semi-Supervised Gait Generation With Two Microfluidic Soft Sensors

    Kim, Dooyoung; Kim, Min; Kwon, Junghan; et al, IEEE Robotics and Automation Letters, v.4, no.3, pp.2501 - 2507, 2019-07

    Egocentrically-stable discriminative stimulus-based spatial navigation in mice: implementation and comparison with allocentric cues

    Chun, Jinsung; Kim, Youngsoo; Choi, Jin Woo; et al, SCIENTIFIC REPORTS, v.9, 2019-04

    Deep Full-Body Motion Network (DFM-Net) for a Soft Wearable Motion Sensing Suit

    Kim, Dooyoung; Kwon, Junghan; Han, Seunghyun; et al, IEEE-ASME TRANSACTIONS ON MECHATRONICS, v.24, no.1, pp.56 - 66, 2019-02

    Eyes are faster than hands: A soft wearable robot learns user intention from the egocentric view

    Kim, Daekyum; Kang, Brian Byunghyun; Kim, Kyu Bum; et al, SCIENCE ROBOTICS, v.4, no.26, 2019-01

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