Publications

• Underline denotes the corresponding author

[J31] Vitor Fortes Rey, Pedro Martelleto Bressane Rezende, Bo Zhou, Sungho Suh, and Paul Lukowicz, "COA-HAR: Exploring Contrastive Online test-time Adaptation for wearable sensor-based Human Activity Recognition using sensor data augmentation." Expert Systems With Applications, 2025 (Accepted) Article

[J30] Jeongdong Kim, Jonggeol Na, Joseph Sang-Il Kwon, Seongbin Ga, Sungho Suh, and Junghwan Kim. "Assessing Grid Penalized Reinforcement Learning for Renewable Energy Management of Power-to-X Integrated with Intermediate Storage." IEEE Transactions on Sustainable Energy, 2025 (Accepted) Article.

[J29] Dhruv Aditya Mittal, Vitor Fortes Rey, Hymalai Bello, Paul Lukowicz, and Sungho Suh. "PACL+: Online continual learning using proxy-anchor and contrastive loss with Gaussian replay for sensor-based human activity recognition." Expert Systems With Applications, vol. 292, 2025. Article

[J28] Ray, Lala Shakti Swarup, Lars Krupp, Vitor Fortes Rey, Bo Zhou, Sungho Suh, and Paul Lukowicz. "TxP: Reciprocal Generation of Ground Pressure Dynamics and Activity Descriptions for Improving Human Activity Recognition." Proceedings of the ACM on Interactive, Mobile, Wearable and Ubiquitous Technologies, vol.9, Issue 2, 2025. arXiv, Article

[J27] Haresamudram, Harish, Chi Ian Tang, Sungho Suh, Paul Lukowicz, and Thomas Ploetz. "Past, present, and future of sensor-based human activity recognition using wearables: A surveying tutorial on a still challenging task." Proceedings of the ACM on Interactive, Mobile, Wearable and Ubiquitous Technologies, vol.9, Issue 2, 2025. arXiv, Article

[J26] Kiseong Hong, Hyundong Jin, Sungho Suh, Eunwoo Kim, "Exploration and exploitation in continual learning," Neural Networks, Vol.188, 2025 (IF 6.0). Article.

[J25] Krupp, Lars, Jonas Bley, Isacco Gobbi, Alexander Geng, Sabine Müller, Sungho Suh et al. "LLM-Generated Tips Rival Expert-Created Tips in Helping Students Answer Quantum-Computing Questions." EPJ Quantum Technology, vol. 12, 33, 2025 (IF 5.8). arXiv, Article

[J24] Tschöpe, Matthias, Dennis Schneider, Sungho Suh, and Paul Lukowicz. "A Novel Guidance Framework for Nasal Rapid Antigen Tests with Improved Swab Keypoint Detection." Smart Health, vol. 5, 2025. Article, Preprint

[J23] Kim, Jeongdong, Seongbin Ga, Sungho Suh, JS-I. Kwon, Kiho Park, and Junghwan Kim. "Optimal operation guidelines for direct recovery of high-purity precursor from spent lithium-ion batteries: hybrid operation model of population balance equation and data-driven classifier." Applied Crystallography 57, no. 6, 2024 (IF 5.2) Article.

[J22] Tae Yeob Kang, Haebom Lee, and Sungho Suh, "Non-destructive Fault Diagnosis of Electronic Interconnects by Learning Signal Patterns of Reflection Coefficient in the Frequency Domain", Microelectronics Reliability, vol. 162, 2024 (IF 1.6) Article, arXiv

[J21] Sungho Suh, Dhruv Aditya Mittal, Hymalai Bello, Bo Zhou, Mayank Shekhar Jha, and Paul Lukowicz, "Remaining useful life prediction of Lithium-ion batteries using spatio-temporal multimodal attention networks", Heliyon: Cell Press, vol. 10, Issue 16, 2024 (IF 3.4) Article, arXiv

[J20] Tae Yeob Kang, Haebom Lee, and Sungho Suh, "An Empirical Study on Fault Detection and Root Cause Analysis of Indium Tin Oxide Electrodes by Processing S-parameter Patterns", IEEE Transactions on Device and Materials Reliability, vol. 24, no.3, Sept 2024 (IF 2.0). Article, arXiv.

[J19] Hyungmin Kim, Sungho Suh, Sunghyun Baek, Daehwan Kim, Daun Jeong, Hansang Cho, and Junmo Kim. "AI-KD: Adversarial learning and Implicit regularization for self-Knowledge Distillation.", Knowledge-Based Systems 293, 2024 (IF 8.8) Article, arXiv.

[J18] Lala Shakti Swarup Ray, Bo Zhou, Sungho Suh, and Paul Lukowicz. "A Comprehensive Evaluation of Marker-Based, Markerless Methods for Loose Garment Scenarios in Varying Camera Configurations." Frontiers in Computer Science, 2024 Article.

[J17] Hyungmin Kim, Donghun Kim, Pyunghwan Ahn, Sungho Suh, Hansang Cho, and Junmo Kim. "ContextMix: A context-aware data augmentation method for industrial visual inspection systems." Engineering Applications of Artificial Intelligence 131, 2024 (IF 8.0). Article, PDF, GitHub

[J16] Sungho Suh, Vitor Fortes Rey, Sizhen Bian, Yu-Chi Huang, Jože M. Rožanec, Hooman Tavakoli Ghinani, Bo Zhou, and Paul Lukowicz. "Worker Activity Recognition in Manufacturing Line Using Near-body Electric Field." IEEE Internet of Things Journal, vol. 11, no. 7, 2024 (IF 10.6). Article, PDF

[J15] Jože M. Rožanec, Inna Novalija, Patrik Zajec, Klemen Kenda, Hooman Tavakoli Ghinani, Sungho Suh, Entso Veliou et al. "Human-centric artificial intelligence architecture for industry 5.0 applications." International journal of production research 61, no. 20, 2023 (IF 9.2). Article, PDF

[J14] Hymalai Bello, Luis Alfredo Sanchez Marin, Sungho Suh, Bo Zhou, and Paul Lukowicz. "InMyFace: Inertial and mechanomyography-based sensor fusion for wearable facial activity recognition." Information Fusion, 2023 (IF 18.6). Article, PDF

[J13] Bo Zhou, Daniel Geissler, Marc Faulhaber, Clara Elisabeth Gleiss, Esther Friederike Zahn, Lala Shakti Swarup Ray, David Gamarra, Sungho Suh et al. "MoCaPose: Motion Capturing with Textile-integrated Capacitive Sensors in Loose-fitting Smart Garments." Proceedings of the ACM on Interactive, Mobile, Wearable and Ubiquitous Technologies 7, no. 1, 2023. (Distinguished Paper Award at UbiComp/ISWC 2024) Article

[J12] Sungho Suh, Vitor Fortes Rey, and Paul Lukowicz. "TASKED: Transformer-based Adversarial learning for human activity recognition using wearable sensors via Self-KnowledgE Distillation." Knowledge-Based Systems 260, 2023 (IF 8.8) . Article, PDF

[J11] Sungho Suh, Jihun Kim, Paul Lukowicz, and Yong Oh Lee. "Two-stage generative adversarial networks for binarization of color document images." Pattern Recognition 130, 2022 (IF 8.0). Article, PDF, GitHub

[J10] Bo Zhou, Sungho Suh, Vitor Fortes Rey, Carlos Andres Velez Altamirano, and Paul Lukowicz. "Quali-mat: Evaluating the quality of execution in body-weight exercises with a pressure sensitive sports mat." Proceedings of the ACM on Interactive, Mobile, Wearable and Ubiquitous Technologies 6, no. 2, 2022. Article

[J09] Hymalai Bello, Bo Zhou, Sungho Suh, Luis Alfredo Sanchez Marin, and Paul Lukowicz. "Move with the theremin: Body posture and gesture recognition using the theremin in loose-garment with embedded textile cables as antennas." Frontiers in Computer Science 4, 2022. Article

[J08] Sungho Suh, Sojeong Cheon, Wonseo Choi, Yeon Woong Chung, Won-Kyung Cho, Ji-Sun Paik, Sung Eun Kim, Dong-Jin Chang, and Yong Oh Lee. "Supervised segmentation with domain adaptation for small sampled orbital CT images." Journal of Computational Design and Engineering 9, no. 2, 2022. Article

[J07] Sungho Suh, Paul Lukowicz, and Yong Oh Lee. "Generalized multiscale feature extraction for remaining useful life prediction of bearings with generative adversarial networks." Knowledge-Based Systems 237, 2022 (IF 8.8). Article, GitHub

[J06] Sungho Suh, Paul Lukowicz, and Yong Oh Lee. "Discriminative feature generation for classification of imbalanced data." Pattern Recognition 122, 2022. Article, GitHub

[J05] Joel Jang, Yoonjeon Kim, Kyoungho Choi, and Sungho Suh. "Sequential targeting: A continual learning approach for data imbalance in text classification." Expert Systems with Applications 179, 2021 (IF 8.5). Article

[J04] Sungho Suh, Haebom Lee, Paul Lukowicz, and Yong Oh Lee. "CEGAN: Classification Enhancement Generative Adversarial Networks for unraveling data imbalance problems." Neural Networks 133, 2021 (IF 7.8). Article

[J03] Sungho Suh, Joel Jang, Seungjae Won, Mayank Shekhar Jha, and Yong Oh Lee. "Supervised health stage prediction using convolutional neural networks for bearing wear." Sensors 20, no. 20, 2020. Article

[J02] Sungho Suh, Haebom Lee, Jun Jo, Paul Lukowicz, and Yong Oh Lee. "Generative oversampling method for imbalanced data on bearing fault detection and diagnosis." Applied Sciences 9, no. 4, 2019. Article

[J01] Sungho Suh, Minsik Lee, and Chong-Ho Choi. "Robust albedo estimation from a facial image with cast shadow under general unknown lighting." IEEE transactions on image processing 22, no. 1, 2012. Article

[C40] Lala Shakti Swarup Ray, Vitor Fortes Rey, Bo Zhou, Paul Lukowicz, and Sungho Suh. "ChairPose: Pressure-based Chair Morphology Grounded Sitting Pose Estimation through Simulation-Assisted Training." In the 2025 ACM Symposium on User Interface Software and Technology (UIST), 2025 (Accepted).

[C39] Lala Shakti Swarup Ray, Mengxi Liu, Deepika Gurung, Bo Zhou, Sungho Suh, and Paul Lukowicz, “SImpHAR: Advancing impedance-based human activity recognition using 3D simulation and text-to-motion models“, UbiComp/ISWC, 2025 (Accepted) arXiv.

[C38] Sora Kim, Sungho Suh, and Minsik Lee. "RAD: Region-Aware Diffusion Models for Image Inpainting." In Proceedings of the Computer Vision and Pattern Recognition Conference (CVPR), pp. 2439-2448. 2025. arXiv Article.

[C37] Daniel Geissler, Mengxi Liu, Bo Zhou, Sungho Suh, and Paul Lukowicz, "Spend More to Save More (SM2): An Energy and Hardware-Aware Implementation of Successive Halving for Sustainable Hyperparameter Optimization", In International Conference on Architecture of Computing Systems (ARCS), 2025. arXiv

[C36] Dominique Nshimyimana, Vitor Fortes Rey, Bo Zhou, Sungho Suh, and Paul Lukowicz. "PIM: Physics-Informed Multi-task Pre-training for Improving Inertial Sensor-Based Human Activity Recognition." The 7th IEEE International Conference on Activity and Behavior Computing (ABC), Abu Dhabi, UAE, 2025 arXiv.

[C35] Ray, Lala Shakti Swarup, Bo Zhou, Sungho Suh, and Paul Lukowicz. "OV-HHIR: Open Vocabulary Human Interaction Recognition Using Cross-modal Integration of Large Language Models." 2025 IEEE International Conference on Acoustics, Speech, and Signal Processing (ICASSP), Hyderabad, India, 2025 arXiv, Article.

[C34] Daehwan Kim, Hyungmin Kim, Daun Jeong, Sungho Suh, and Hansang Cho, "SPACE: SPAtial-aware Consistency rEgularization for anomaly detection in Industrial applications", IEEE/CVF Winter Conference on Applications of Computer Vision (WACV), Tucson, Arizona, USA, 2025 arXiv Article.

[C33] Hymalai Bello, Sungho Suh, Bo Zhou, and Paul Lukowicz, "MeciFace: Mechanomyography and Inertial Fusion-based Glasses for Edge Real-Time Recognition of Facial and Eating Activities", 16th International Conference on Ubiquitous Computing and Ambient Intelligence (UCAmI 2024), Belfast, UK, 2024 (Best Paper Award) Article arXiv. 

[C32] Hymalai Bello, Daniel Geißler, Sungho Suh, Bo Zhou, and Paul Lukowicz, "TSAK: Two-Stage Semantic-Aware Knowledge Distillation for Efficient Wearable Modality and Model Optimization in Manufacturing Lines", 2024 International Conference on Pattern Recognition (ICPR), Kolkata, India, 2024. Article, arXiv

[C31] Lala Ray, Bo Zhou, Lars Krupp, Sungho Suh, and Paul Lukowicz, "A Synthetic Benchmarking Pipeline to Compare Camera Calibration Algorithms", 2024 International Conference on Pattern Recognition (ICPR), Kolkata, India, 2024. Article, arXiv

[C30] Lala Ray, Daniel Geißler, Mengxi Liu, Bo Zhou, Sungho Suh, and Paul Lukowicz, "ALS-HAR: Harnessing Wearable Ambient Light Sensors to Enhance IMU-based HAR", 2024 International Conference on Pattern Recognition (ICPR), Kolkata, India, 2024. Article, arXiv

[C29] Geißler, Daniel, Bo Zhou, Mengxi Liu, Sungho Suh, and Paul Lukowicz. "The Power of Training: How Different Neural Network Setups Influence the Energy Demand." In International Conference on Architecture of Computing Systems, pp. 33-47. Cham: Springer Nature Switzerland, 2024. Article

[C28] Parham Zolfaghari, Vitor Fortes Rey, Lala Shakti Swarup Ray, Hyun Kim, Sungho Suh, and Paul Lukowicz. "Sensor Data Augmentation from Skeleton Pose Sequences for Improving Human Activity Recognition," Proceedings of 6th International Conference on Activity and Behavior Computing (ABC), Kitakyushu, Japan, 2024 Article arXiv.

[C27] Hymalai Bello, Sungho Suh, Bo Zhou, and Paul Lukowicz. "BeSound: Bluetooth-Based Position Estimation Enhancing with Cross-Modality Distillation," Proceedings of 6th International Conference on Activity and Behavior Computing (ABC), Kitakyushu, Japan, 2024. Article arXiv.

[C26] Singh, Davinder Pal, Lala Shakti Swarup Ray, Bo Zhou, Sungho Suh, and Paul Lukowicz. "A Novel Local-Global Feature Fusion Framework for Body-weight Exercise Recognition with Pressure Mapping Sensors." 2024 IEEE International Conference on Acoustics, Speech, and Signal Processing (ICASSP), Seoul, Korea, 2024. Article

[C25] Sungho Suh, Haebom Lee, and Tae Yeob Kang, "Image Generation of Ultra-Thin Polymer Films Using Diffusion Models from Tensile Testing for Mechanical Failure Prediction," 2024 International Conference on Electronics, Information, and Communication (ICEIC), Taipei, Taiwan, 2024. Article

[C24] Sungho Suh, Haebom Lee, and Tae Yeob Kang, "Fault Diagnosis of Indium Tin Oxide Electrodes by Multi-channel S-parameter Patterns," 2024 International Conference on Electronics, Information, and Communication (ICEIC), Taipei, Taiwan, 2024 (Best Paper Award Bronze Prize). Article

[C23] Bello, Hymalai, Sungho Suh, Daniel Geißler, Lala Ray, Bo Zhou, and Paul Lukowicz. "Real-Time and on-the-Edge Multiple Channel Capacitive and Inertial Fusion-Based Glove." In EAI International Conference on Body Area Networks, pp. 166-176. Cham: Springer Nature Switzerland, 2024 (Best Paper Award) Article.

[C22] Mittal, Dhruv Aditya, Hymalai Bello, Bo Zhou, Mayank Shekhar Jha, Sungho Suh, and Paul Lukowicz. "Two-stage Early Prediction Framework of Remaining Useful Life for Lithium-ion Batteries." In IECON 2023-49th Annual Conference of the IEEE Industrial Electronics Society, pp. 1-7. IEEE, 2023. Article, PDF GitHub

[C21] Ray, Lala Shakti Swarup, Bo Zhou, Sungho Suh, and Paul Lukowicz. "Selecting the Motion Ground Truth for Loose-fitting Wearables: Benchmarking Optical MoCap Methods." In Proceedings of the 2023 ACM International Symposium on Wearable Computers, pp. 27-32. 2023 (Best Paper Award). Article

[C20] Kim, Hyungmin, Sungho Suh, Daehwan Kim, Daun Jeong, Hansang Cho, and Junmo Kim. "Proxy anchor-based unsupervised learning for continuous generalized category discovery." In Proceedings of the IEEE/CVF International Conference on Computer Vision, pp. 16688-16697. 2023. Article, GitHub

[C19] Y. Cho, L. S. S. Ray, K. S. P. Thota, S. Suh and P. Lukowicz, "ClothFit: Cloth-Human-Attribute Guided Virtual Try-on Network Using 3D Simulated Dataset," 2023 IEEE International Conference on Image Processing (ICIP), Kuala Lumpur, Malaysia, 2023. Article, GitHub

[C18] Liu, Mengxi, Bo Zhou, Zimin Zhao, Hyeonseok Hong, Hyun Kim, Sungho Suh, Vitor Fortes Rey, and Paul Lukowicz, "FieldHAR: A Fully Integrated End-to-End RTL Framework for Human Activity Recognition with Neural Networks from Heterogeneous Sensors," 2023 IEEE 34th International Conference on Application-specific Systems, Architectures and Processors (ASAP), Porto, Portugal, 2023. Article

[C17] J. Bhatt, Y. Zharov, S. Suh, T. Baumbach, V. Heuveline and P. Lukowicz, "A Knowledge Distillation Framework for Multi-Organ Segmentation of Medaka Fish in Tomographic Image," 2023 IEEE 20th International Symposium on Biomedical Imaging (ISBI), Cartagena, Colombia, 2023. Article

[C16] C. Joo, J. Kim, H. Cho, J. Lee, S. Suh and J. Kim, "Chemical Property-Guided Neural Networks for Naphtha Composition Prediction," 2023 IEEE 21st International Conference on Industrial Informatics (INDIN), Lemgo, Germany, 2023. Article

[C15] Shakti Swarup Ray, Lala, Vitor Fortes Rey, Bo Zhou, Sungho Suh, and Paul Lukowicz. "PressureTransferNet: Human Attribute Guided Dynamic Ground Pressure Profile Transfer using 3D simulated Pressure Maps." Proceedings of 5th International Conference on Activity and Behavior Computing (ABC), 2023 (Excellent Paper Award). Article

[C14] Thota, Kundan Sai Prabhu, Sungho Suh, Bo Zhou, and Paul Lukowicz. "Estimation Of 3d Body Shape And Clothing Measurements From Frontal-And Side-View Images." In 2022 IEEE International Conference on Image Processing (ICIP), pp. 2631-2635. IEEE, 2022. Article, GitHub

[C13]  Fortes Rey, Vitor, Sungho Suh, and Paul Lukowicz. "Learning from the Best: Contrastive Representations Learning Across Sensor Locations for Wearable Activity Recognition." In Proceedings of the 2022 ACM International Symposium on Wearable Computers, pp. 28-32. 2022. Article

[C12] Sungho Suh, Vitor Fortes Rey, and Paul Lukowicz. "Adversarial deep feature extraction network for user independent human activity recognition." In 2022 IEEE International Conference on Pervasive Computing and Communications (PerCom), pp. 217-226. IEEE, 2022 (Acceptance rate 13.5%). Article

[C11] Bello, Hymalai, Bo Zhou, Sungho Suh, and Paul Lukowicz. "Mocapaci: Posture and gesture detection in loose garments using textile cables as capacitive antennas." In Proceedings of the 2021 ACM International Symposium on Wearable Computers, pp. 78-83. 2021. Article

[C10] Suh, Sungho, Paul Lukowicz, and Yong Oh Lee. "Fusion of global-local features for image quality inspection of shipping label." In 2020 25th International Conference on Pattern Recognition (ICPR), pp. 2643-2649. IEEE, 2021. Article

[C09] Suh, Sungho, Sojeong Cheon, Dong-Jin Chang, Deukhee Lee, and Yong Oh Lee. "Sequential lung nodule synthesis using attribute-guided generative adversarial networks." In Medical Image Computing and Computer Assisted Intervention–MICCAI 2021: 24th International Conference, Strasbourg, France, September 27–October 1, 2021, Proceedings, Part VI 24, pp. 402-411. Springer International Publishing, 2021. Article, GitHub

[C08] Suh, Sungho, Haebom Lee, Yong Oh Lee, Paul Lukowicz, and Jongwoon Hwang. "Robust shipping label recognition and validation for logistics by using deep neural networks." In 2019 IEEE International Conference on Image Processing (ICIP), pp. 4509-4513. IEEE, 2019. Article

[C07] Suh, Sungho, and Moonjoo Kim. "Automatic Calibration of the Optical System in Passive Component Inspection." In VISIGRAPP (4: VISAPP), pp. 230-237. 2017. Article

[C06] Suh, Sungho, Hansang Cho, and Donglok Kim. "Robust Registration Method of 3D Point Cloud Data." In ICPRAM, pp. 630-637. 2016.

[C05] Lee, Hunsue, Sungho Suh, and Hansang Cho. "Robust template matching using run-length encoding." In Applications of Digital Image Processing XXXVIII, vol. 9599, pp. 830-838. SPIE, 2015.

[C04] Suh, Sungho, and Hansang Cho. "Registration of point cloud data for HDD stamped base inspection." In Applications of Digital Image Processing XXXVIII, vol. 9599, pp. 550-559. SPIE, 2015.

[C03] Suh, Sungho, and Hansang Cho. "Fast Image Alignment for Inspection of FCB Bump Coin System.", The 3rd International Conference on Industrial Application Engineering 2015 (ICIAE), 2015.

[C02] Choi, Hyohoon, Ram Mohan Gupta, and Sungho Suh. "Quality measurement of template models and automatic template model selection." In 2012 12th International Conference on Control, Automation and Systems, pp. 1044-1048. IEEE, 2012.

[C01] Suh, Sungho, Minsik Lee, and Chong-Ho Choi. "Robust albedo estimation from a facial image with cast shadow." In 2011 18th IEEE International Conference on Image Processing, pp. 873-876. IEEE, 2011.

[W08] Lala Shakti Swarup Ray, Bo Zhou, Sungho Suh and Paul Lukowicz, "Initial Findings on Sensor based Open Vocabulary Activity Recognition via Text Embedding Inversion", 2025 IEEE International Conference on Pervasive Computing and Communications Workshops and other Affiliated Events (PerCom Work in Progress), Washington DC, USA, 2025. 

[W07] Lee, Hayun, Kiseong Hong, Hwanhee Lee, Sungho Suh, and Eunwoo Kim. "Dynamically Managing a Prompt Pool via Self-Enhancement in Continual Learning." In Adaptive Foundation Models: Evolving AI for Personalized and Efficient Learning, 2024 Article.

[W06] Mengxi Liu, Sungho Suh, Juan Felipe Vargas, Bo Zhou, Agnes Grünerbl, and Paul Lukowicz. "A Wearable Multi-Modal Edge-Computing System for Real-Time Kitchen Activity Recognition," IJCAI Workshop on Deep Learning for Human Activity Recognition, 2024 Article, arXiv.

[W05] L. S. S. Ray, B. Zhou, S. Suh, L. Krupp, V. F. Rey and P. Lukowicz, "Text me the data: Generating Ground Pressure Sequence from Textual Descriptions for HAR," 2024 IEEE International Conference on Pervasive Computing and Communications Workshops and other Affiliated Events (PerCom Workshops), Biarritz, France, 2024 Article, arXiv (Best Runner-Up WIP Award).

[W04] Liu, Mengxi, Zimin Zhao, Daniel Geißler, Bo Zhou, Sungho Suh, and Paul Lukowicz. "CoSS: Co-optimizing Sensor and Sampling Rate for Data-Efficient AI in Human Activity Recognition." AAAI Workshop on Sustainable AI, 2024. PDF

[W03] Geißler, Daniel, Bo Zhou, Mengxi Liu, Sungho Suh, and Paul Lukowicz. "The Power of Training: How Different Neural Network Setups Influence the Energy Demand." AAAI Workshop on Sustainable AI, 2024. PDF

[W02] Ray, Lala Shakti Swarup, Bo Zhou, Sungho Suh, and Paul Lukowicz. "PresSim: An End-to-end Framework for Dynamic Ground Pressure Profile Generation from Monocular Videos Using Physics-based 3D Simulation." In 2023 IEEE International Conference on Pervasive Computing and Communications Workshops and other Affiliated Events (PerCom Workshops), pp. 484-489. IEEE, 2023. Article

[W01] Liu, Mengxi, Sungho Suh, Bo Zhou, Agnes Gruenerbl, and Paul Lukowicz. "Smart-Badge: A wearable badge with multi-modal sensors for kitchen activity recognition." In Adjunct Proceedings of the 2022 ACM International Joint Conference on Pervasive and Ubiquitous Computing and the 2022 ACM International Symposium on Wearable Computers, pp. 356-363. 2022.

[B02] Suh, Sungho, Vitor Fortes Rey, and Paul Lukowicz. "Wearable Sensor-Based Human Activity Recognition for Worker Safety in Manufacturing Line." In Artificial Intelligence in Manufacturing: Enabling Intelligent, Flexible and Cost-Effective Production Through AI, pp. 303-317. Cham: Springer Nature Switzerland, 2023. Link

[B01] Tavakoli, Hooman, Sungho Suh, Snehal Walunj, Parsha Pahlevannejad, Christiane Plociennik, and Martin Ruskowski. "Object Detection for Human–Robot Interaction and Worker Assistance Systems." In Artificial Intelligence in Manufacturing: Enabling Intelligent, Flexible and Cost-Effective Production Through AI, pp. 319-332. Cham: Springer Nature Switzerland, 2023. Link