Selective Multi-source Domain Adaptation Network for Subject Independent Motor Imagery Discrimination, submitted to IEEE Transactions on Neural Systems & Rehabilitation Engineering .
Prior depth-based multi-view stereo network for online 3D model reconstruction, submitted to IEEE Transactions on Image Processing.
A Channel Weight Re-scaling Module for Spatio-temporal Feature Extraction Based Motor Imagery Discrimination, submitted to IEEE Transactions on Human-Machine Systems.
E Rho, D Kim, H Lee, S Jo, Learning Fingertip Force to Grasp Deformable Objects for Soft Wearable Hand Robot with TSM, IEEE Robotics and Automation Letters (presented in IROS2021), 6:4, 8126-8133, Oct 2021 [LINK] [PDF] [VIDEO]
Situ Bacterial Identification in Arbitrary Media via SERS with a Wide-Kernel Deep Neural Network, submitted to Biosensors and Bioelectronics.
Driving without Moving: A Brain-Actuated Shared Control System for Vehicles, IEEE Transactions on Intelligent Vehicles, under revision. [VIDEO]
S Song, D Kim, S Choi, View Path Planning via Online Multi-View Stereo for 3D Modeling of Large-Scale Structures, IEEE Transactions on Robotics, accepted. [VIDEO]
M Kim, H Choi, K-J Cho, S Jo, Single to Multi: Data-driven High Resolution Calibration Method for Piezoresistive Sensor Array, IEEE Robotics and Automation Letters, 6(3): 4970-4977, July 2021 [LINK] [PDF] [VIDEO]
D Kim, SH Kim, T Kim, BB Kang, M Lee, W Park, S Ku, D Kim, J Kwon, H Lee, J Bae, YL Park, KJ Cho, S Jo, Review of machine learning methods in soft robotics, PLOS ONE, Feb 2021 [LINK]
S Cheon, D Kim, S Kim, BB Kang, J Lee, HS Gong, S Jo, KJ Cho, J Ahn, Identifying power grasp intention with a single sEMG sensor for reliable robotic assistance, IEEE Transactions on Medical Robotics and Bionics, 3(1): 179-189, 2021 [LINK] [PDF] [VIDEO]
BH Kim, S Jo, S Choi, A-Situ: a computational framework for affective labeling from psychological behaviors in real-life situations, Scientific Reports, 10, 15916, Sept 2020 [LINK]
JW Choi, BH Kim, S Huh, S Jo, Observing Actions through Immersive Virtual Reality Enhances Motor Imagery Training, IEEE Transactions on Neural Systems & Rehabilitation Engineering, 28(7): 1614-1622, July 2020 [LINK] [PDF]
B Choi, G Shim, B Jeong, S Jo, Data-driven analysis using multiple self-report questionnaires to identify college students at high risk of depressive disorder, Scientific Reports, 10:7867, 2020 [LINK] [PDF] [SUPPLEMENT]
B Kim, D Kim, H Choi, U Jeong, K Kim, S Jo, K-J Cho, Learning-based fingertip force estimation for soft wearable hand robot with tendon-sheath mechanism, IEEE Robotics and Automation Letters, 5(2), 946-953, 2020 (presented in ICRA 2020). [LINK] [PDF] [VIDEO]
N Kaongoen, M Yoo, S Jo, Two-factor authentication system using P300 response to a sequence of human photographs, IEEE Transactions on Systems, Man, and Cybernetics: Systems, 50(3):1178-1185, March 2020 [LINK] [PDF]
J Chun, Y Kim, J W Choi, D Kim, S Jo, Egocentrically-stable discriminative stimulus-based spatial navigation in mice: implementation and comparison with allocentric cues, Scientific Reports, 9, 2019. [LINK] [PDF] [SUPPLEMENT] [VIDEO]
D Kim, M Kim, J Kwon, Y-L Park, S Jo, Semi-Supervised Gait Generation with Two Microfluidic Soft Sensors, IEEE Robotics and Automation Letters, 4(3): 2501-2507, 2019 (presented in RoboSoft 2019). [LINK] [PDF]
D Kim, BB Kang, KB Kim, H Choi, J H, K-J Cho, S Jo, Eyes are faster than hands: a soft wearable robot learns user intention from the egocentric view, Science Robotics, 4, eeav2949, 2019. [LINK] [VIDEO] [VIDEO]
J Park, S Jo, Bayesian Weight Decay on Bounded Approximation for Learning Deep Convolutional Neural Networks, IEEE Transactions on Neural Networks & Learning Systems: 30(9), 2866-2875, 2019. [LINK] [PDF]
D Kim, J Kwon, S Han, Y-L Park, S Jo, Deep Full-Body Motion Network (DFM-Net) for a Soft Wearable Motion Sensing Suit, IEEE/ASME Transactions on Mechatronics, 24(1): 56-66, 2019 [LINK] [PDF] [CODE] [VIDEO]
S Han, T Kim, D Kim, Y-L Park, S Jo, Use of Deep Learning for Characterization of Microfluidic Soft Sensors, IEEE Robotics and Automation Letters, 3(2): 873-880, 2018 (ICRA 2018)[LINK] [PDF] [CODE] [VIDEO]
Y Na, S Kim, S Jo, J Kim, Ranking hand movements for myoelectric pattern recognition considering forearm muscle structure, Medical & Biological Engineering & Computing, 55(8), 1507-1518, 2017[LINK] [PDF]
C Kim, B Choi, D Lee, S Lee, S Jo, P-S Lee, Remote navigation of turtle by controlling instinct behavior via human brain-computer interface, Journal of Bionic Engineering, 13(3),491-503, 2016. [LINK][PDF] [VIDEO]
H Hwang, H Choi, J Kim, W Chang, D Kim, K Kim, S Jo, C Im, Towards More Intuitive Brain-Computer Interfacing: Classification of Binary Covert Intentions Using Functional Near-Infrared Spectroscopy, Journal of Biomedical Optics, 21(9) 091303, 2016.[LINK][PDF]
T. Morse, S Jo, Smarter push notifications in a multi-device world, SK telecommunications review, 25(6), 2016[PDF].
H Han, S Jo, J Kim, Comparative study of muscle stiffness sensor and electromyography and mechanomyography in fatigue conditions, Medical & Biological Engineering & Computing, 53(7), 577-588, 2015. [LINK][PDF]
M Kim, BH Kim, S Jo, Quantitative evaluation of a noninvasive hybrid interface based on EEG and eye movement, IEEE Transactions on Neural Systems & Rehabilitation Engineering, 23(2), 159-168, 2015. [LINK][PDF] [VIDEO]
J Cho, S Jo, Toward generalized brain computer interface using supervised hierarchical Bayesian model, SK telecommunications review, vol. 23, no. 2, pp. 213-223, 2013. [PDF]
이홍구, 조성호, Unstructured Ground Extraction using Multivariate Gaussian Clustering, 한국정보과학회논문지:컴퓨팅의 실제 및 레터 (초청논문), 제19권 4호, 2013년 [PDF]
S Cho, S Jo, Incremental Online Learning of Robot Behaviors from Selected Multiple Kinesthetic Teaching Trials, IEEE Transactions on Systems, Man, and Cybernetics: Systems, 43(3): 730-740, 2013. [LINK] [PDF]
조영래,이길호,조성호,신인식, 사용자 입력 문자에 반응하는 군집 로봇 행동 구현, 제어로봇시스템학회(ICROS) 논문지, 제18권 5호, 2012년. [PDF]
S Cho, S Jo, Incremental motion learning through kinesthetic teachings and new motion production from learned motions by a humanoid robot, International Journal of Control Automation and Systems (IJCAS), 10(1), 2012. [LINK] [PDF]
Y Chae, C Choi, J Kim, S Jo, Noninvasive sEMG-based control for humanoid robot teleoperated navigation, International Journal of Precision Engineering and Manufacturing, 12(6), December 2011. [LINK] [PDF]
M Han, K Lee, S Jo, 실시간 무인 자동차 제어를 위한 강인한 차선 검출 알고리즘 (Robust lane detection algorithm for realtime control of an autonomous car), 한국로봇학회 (KROS) 논문지 제6권 제2호 2011년6월. [PDF]
박지환, 조성호, 스테레오 비전을 이용한 실시간 인간형 로봇 궤적 추출 및 네비게이션 (Real-time humanoid robot trajectory estimation and navigation with setero vision), 정보과학회논문지:소프트웨어 및 응용, 제37권 8호 (초청논문), 2010. [PDF]
S Jo, K Takahashi (2010). Neurobiologically inspired distributed and hierarchical system for control and learning, Biomimetics Learning From Nature, Amitava Mukherjee (Ed.), INTECH.
S Jo, A Hofmann (2007), Biped walking from neurological and biomechanical principles, In: Biological Cybernetics Research Trends (ed.: T.O. Williams), Nova Science Publishers, inc. [PDF]
S Jo, Z-H Mao (2007), Basal ganglionic learning applied to control of an underactuated system, In: Neurocomputing Research Developments (ed: H.A. Svensson), Nova Science Publishers, inc. [PDF]
S Jo (2005), A robust approach to the PDF estimate, Neurocomputing, 67C: 288-296. [LINK]