Reflection-Enhanced Raman Identification of Single Bacterial Cells Patterned Using Capillary Assembly, submitted to Biosensors and Bioelectronics

Surface-Functionalized SERS Platform for Deep Learning-Assisted Analysis of Blood-Based Biomarkers and Diagnosis of Alzheimer’s Disease, submitted to Biosensors and Bioelectronics

Understanding the Process of User’s Counterfactual Explanation Personalization, submitted to ACM Transactions on Computer-Human Interaction

J Mun et al, HybGrasp: A Hybrid Learning-to-Adapt Architecture for Efficient Robot
GraspingIEEE Robotics and Automation Letters, (presented in ICRA 2024) early access [LINK] 

N Kaongoen, J Choi et al., The Future of Wearable EEG: A Review of Ear-EEG Technology and its Applications, Journal of Neural Engineering, 20:5, Oct 2023 [LINK] [PDF]

J Choi, J Lee, S Jo, Selective Multi-source Domain Adaptation Network for Subject Independent Motor Imagery Discrimination,  IEEE Transactions on Cognitive and Developmental Systems, early access [LINK] [PDF]

JH Choi, N Kaongoen,H Choi, M Kim, BH Kim, S Jo,  Decoding Auditory-Evoked Response in Affective States using Wearable Around-Ear EEG System, Biomedical Physics & Engineering Express, Aug 2023 [LINK] [PDF]

A Channel Weight Re-scaling Module for Spatio-temporal Feature Extraction Based Motor Imagery Discrimination, submitted to IEEE Transactions on Human-Machine Systems.

BH Kim, JW Choi, H Lee, S Jo, A Discriminative SPD Feature Learning Approach on Riemannian Manifolds for EEG ClassificationPattern Recognition, 143, 2023 [LINK] [PDF]

JW Choi, J Park, S Huh, S Jo, Asynchronous Motor Imagery BCI and LiDAR-based Shared Control System for Intuitive Wheelchair Navigation, IEEE Sensors Journal, 23(14):16252-16263, 2023 [LINK] [PDF] [VIDEO]

JW Choi, H Kwon, J Choi, N kaongoen, C Hwang, M Kim, BH Kim, S Jo, Neural Applications Using Immersive Virtual Reality: A Review on EEG StudiesIEEE Transactions on Neural Systems & Rehabilitation Engineering, 31: 1645-1658, 2023 [LINK] [PDF]

K Kim et al, A substrate-less nanomesh receptor with meta-learning for rapid hand task recognition, Nature Electronics, 39, Dec 2022  [LINK] [EXTENDED DATA] [SUPPLEMENT] [CODE]

S Song, KT Giang, D Kim, S Jo, Prior depth-based multi-view stereo network for online 3D model reconstructionPattern Recognition,  136, April 2023 [LINK]  [PDF]

N Kaongoen, J Choi, S Jo, A Novel Online BCI System Using Speech Imagery and Ear-EEG for Home Appliances Control, Computer Methods and Programs in Biomedicine, 224, 107022, Sept 2022, [LINK] [PDF]

J Kwak, J Lee, J J Whang, S Jo, Semantic Grasping via a Knowledge Graph of Robotic Manipulation: A Graph Representation Learning Approach,  IEEE Robotics and Automation Letters, 7(4), 9397-9404, Oct. 2022 (presented in IROS 2022) [LINK]  [PDF]

E Rho, M Kim, S H Cho, B Choi, H Park, H Jang, Y S Jung, S Jo, Separation-free bacterial identification in arbitrary media via deep neural network-based SERS analysis, Biosensors and Bioelectronics, 202(5), 113991, April 2022, [LINK] [PDF]

J Park, D Kim, S Huh, S Jo, Maximization and Restoration: Action Segmentation through Dilation Passing and Temporal Reconstruction, Pattern Recognition, 129, 108764, Sept. 2022 [LINK] [PDF]

BH Kim, S Jo, S Choi,  ALIS: Learning Affective Causality behind Daily Activities from a Wearable Life-Log System, IEEE Transactions on Cybernetics, 52:12, 13212-13224, 2022 [LINK] [PDF]

E Rho, D Kim, H Lee, S Jo, Learning Fingertip Force to Grasp Deformable Objects for Soft Wearable Hand Robot with TSMIEEE Robotics and Automation Letters (presented in IROS2021), 6:4, 8126-8133, Oct 2021  [LINK]  [PDF] [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, 38(1): 372-390, 2022 [LINK] [PDF]  [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]

KT Giang, S Song, D Kim, S Choi, Sequential Depth Completion with Confidence Estimation for 3D Model Reconstruction, IEEE Robotics and Automation Letters, 6(2) : 327- 334, 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 assistanceIEEE Transactions on Medical Robotics and Bionics, 3(1): 179-189, 2021  [LINK] [PDF]  [VIDEO]

N Kaongoen, J Choi, S Jo, Speech-imagery-based Brain-Computer Interface system using ear-EEG, Journal of Neural Engineering, 18(1), 8016023, Feb 2021  [LINK] [PDF]

JW Choi, S Huh, S Jo, Improving performance in motor imagery BCI-based control applications via virtually embodied feedback,  Computers in Biology and Medicine, 127,  2020 [LINK] [PDF]

BH Kim, S Koh, S Huh, S Jo, S Choi, Improved explanatory efficacy on human affect and workload through interactive process in artificial intelligence, IEEE Access, 8, 189013-189024, 2020 [LINK] [PDF]

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]

S Song, D Kim, S Jo, Online Coverage and Inspection Planning for 3D Modeling System, Autonomous Robots, 44(8): 1431-1450,  2020 [LINK] [PDF] [VIDEO]

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]

BH Kim, S Jo, Deep physiological affect network for the recognition of human emotions, IEEE Transactions on Affective Computing, 11(2):230-243, 2020 [LINK] [PDF] [VIDEO]

D Kim, Y Jeong, C Park, A Shin, K Min, S Jo, D Kim, Interactive virtual objects attract attention and induce exploratory behaviours in rats, Behavioural Brain Research, 392, August 2020 [LINK]  [PDF]

KK Kim, I Ha, M Kim, J Choi, P Won, S Jo, SH Ko, A deep-learned skin sensor decoding the epicentral human motions, Nature Communications, 11: 2149, 2020 [LINK] [SUPPLEMENT] [VIDEO] [2020 Top 50 Physics Articles in Nature Communications]

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] [CODE]

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 viewScience Robotics, 4, eeav2949, 2019. [LINK] [VIDEO] [VIDEO]

J Park, S Jo, Bayesian Weight Decay on Bounded Approximation for Learning Deep Convolutional Neural NetworksIEEE 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]

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] [VIDEO]

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] [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]

S Song, H Lee, S Jo, Boundary enhanced supervoxel segmentation for sparse outdoor LiDAR data, Electronics Letters, 50(25), 2014. [LINK][PDF] [VIDEO]

BH 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 [LINK] [PDF] [VIDEO]

H Lee, K Kwak, S Jo, Multisensor-based online positive learning for drivable region detection, Electronics Letters, 50(20), 2014. [LINK][PDF] [VIDEO]

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] [VIDEO]

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] [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]

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] [VIDEO]

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] [VIDEO]

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]