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Journal Publications

  • Use of Deep Learning for Characterization of Microfluidic Soft Sensors, submitted to IEEE RA-L.
  • Orienteering problem with unknown stochastic reward to informative path planning for persistent monitoring, submitted to EL.
  • Deep physiological affect network for the recognition of human emotions, submitted to IEEE T Affective Computing.
  • Instruction cue-dependent navigation in mice, submitted to PNAS.
  • N Kaongoen, M Yoo, S Jo, Two-factor authentication system using P300 response to a sequence of human photographs, IEEE T SMC Syst, 2017 [LINK]
  • N Kaongoen, S Jo, A Novel Hybrid Auditory BCI Paradigm Combining ASSR and P300, Journal of Neuroscience Methods, 279:44-51, 2017 [LINK] [PDF]
  • 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]
  • D Kim, S Lee, C Kim, S Jo, P-S Lee, Parasite robot system for turtle's waypoint navigation, Journal of Bionic Engineering, 14(2), 327-335, 2017 [LINK] [PDF]
  • H Lee, K Kwak, S Jo, An incremental nonparametric Bayesian clustering-based traversable region detection, Autonomous Robots, 41(4), 795-810, 2017. [LINK][PDF]
  • J Park, S Jo, Approximate Bayesian MLP Regularization for Regression in the Presence of Noise, Neural Networks,83, 75-85, 2016.[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]
  • 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, 제25권 6호, 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, B 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]
  • S Song, H Lee, S Jo, Boundary enhanced supervoxel segmentation for sparse outdoor LiDAR data, Electronics Letters, 50(25), 2014. [LINK][PDF]
  • B Kim, M Kim, S Jo, Quadcopter flight control using a low-cost hybrid interface with EEG-based classification and eye tracking, Computers in Biology and Medicine, 51:82-92, 2014. Selected as an Honorable Mention Paper, Computers in Biology and Medicine, 2014[LINK] [PDF]
  • H Lee, K Kwak, S Jo, Multisensor-based online positive learning for drivable region detection, Electronics Letters, 50(20), 2014. [LINK][PDF]
  • H Han, S Jo, Supervised hierarchical Bayesian model-based electromyographic control and analysis, IEEE Journal of Biomedical and Health Informatics, 18(4):1214-1224, 2014. [LINK][PDF]
  • B Choi, S Jo, A low-cost EEG system-based hybrid brain-computer interface for humanoid robot navigation and recognition, PLoS ONE 8(9):e74583, 2013. [LINK]
  • J Cho, S Jo, Toward generalized brain computer interface using supervised hierarchical Bayesian model, SK telecommunications review (invited), 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]
  • Y Chae, J Jeong, S Jo,Toward Brain-Actuated Humanoid Robots: Asynchronous Direct-Control Using an EEG-Based BCI, IEEE Transactions on Robotics, 28(5):1131-1144, 2012. [LINK] [PDF]
  • Q Nguyen, S Jo, Electric wheelchair control using head pose free eye-gaze tracker, Electronics Letters, 48(13), 2012. [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]
  • H Yuk, D Kim, H Lee, S Jo, J Shin, Shape memory alloy-based small crawling robots inspired by C.elegans, Bioinspiration and Biomimetics, 6(4), Sept. 2011. [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]
  • A computational neuromusculoskeletal model of human arm movements, International Journal of Control, Automation, and Systems, 9(5), October 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]
  • S Yoon, L-H Kang, S Jo, Development of air vehicle with active flapping and twisting of wing, Journal of Bionic Engineering, 8(1), 1-9, 2011. [LINK] [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 (2008), Adaptive biomimetic control of robot arm motions, Neurocomputing, 71(16-18), 3625-3630 [LINK] [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 (2008), Hypothetical neural control of human biped locomotion with voluntary modulation, Medical & Biological Engineering & Computing. [LINK] [PDF]
  • S Jo, S Massaquoi (2007), A model of cerebello-spinomuscular interaction in the sagittal control of human walking, Biological Cybernetics, 96(3):279-307. [LINK] [PDF]
  • S Jo (2007), A neurobiological model of the recovery strategies from perturbed walking, BioSystems. [LINK] [PDF]
  • 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, J Yin, Z-H Mao (2005), Random neural networks with state-dependent firing neurons, IEEE Transactions on Neural Networks, 16(4): 980-983. [LINK] [PDF]
  • S Jo (2005), A robust approach to the PDF estimate, Neurocomputing, 67C: 288-296. [LINK]
  • S Jo, S Massaquoi (2004), A model of cerebellum-stabilized and scheduled hybrid long-loop control of upright balance, Biological Cybernetics 91(3):188-202. [LINK] [PDF]