Academic Efforts

Publications

2025

• Lucas Schoot Uiterkamp, Gwenn Englebienne. Bilateral modeling in teleoperation An example in practice. In 2nd IEEE Conference on Telepresence, TELEPRESENCE 2025. IEEE, 2025.
• Lucas Schoot Uiterkamp, Gwenn Englebienne. Intent-based Gaze Prediction for Telepresence Robots. In International Conference on Robot and Human Interactive Communication RO-MAN 2025. 2025.
• Lucas Schoot Uiterkamp, Gwenn Englebienne, Dirk KJ Heylen. Collecting Object-level Affordance for RGBD Datasets. In International Conference on Robot and Human Interactive Communication RO-MAN 2025. 2025.

2024

• Juan José González Torres, Mihai Bogdan Bîndilă, Sebastiaan Hofstee, Daniel Szondy, Quang-Hung Nguyen, Shenghui Wang, Gwenn Englebienne. Automated question-answer generation for evaluating RAG-based chatbots. In Proceedings of the First Workshop on Patient-Oriented Language Processing (CL4Health)@ LREC-COLING 2024, pp. 204-214. 2024.

2023

• Leander van den Heuvel, Gertjan Burghouts, David W. Zhang, Gwenn Englebienne, Sabina B. van Rooij. Diffusing More Objects for Semi-Supervised Domain Adaptation with Less Labeling. arXiv preprint arXiv:2312.12000 (2023).
• Elisa Nguyen, Meike Nauta, Gwenn Englebienne, Christin Seifert. Feature Attribution Explanations for Spiking Neural Networks. In 2023 IEEE 5th International Conference on Cognitive Machine Intelligence (CogMI), pp. 59-68. IEEE, 2023.
• Camille Sallaberry, Gwenn Englebienne, Jan Van Erp, Vanessa Evers. Out of Sight,... How Asymmetry in Video-Conference Affects Social Interaction. In Proceedings of the 25th International Conference on Multimodal Interaction, pp. 465-469. 2023.
• Maedeh Nasri, Zhizhou Fang, Mitra Baratchi, Gwenn Englebienne, Shenghui Wang, Alexander Koutamanis, and Carolien Rieffe. A GNN-based architecture for group detection from spatio-temporal trajectory data. In International Symposium on Intelligent Data Analysis, pp. 327-339. Cham: Springer Nature Switzerland, 2023.
• Sara Falcone, Gwenn Englebienne, Jan Van Erp, Dirk Heylen. Toward standard guidelines to design the sense of embodiment in teleoperation applications: A review and toolbox. In Human-Computer Interaction 38, no. 5-6 (2023): 322-351.

2022

• Sara Falcone, Gwenn Englebienne, Dirk KJ Heylen, Jan BF van Erp. Assessing the Pupil Dilation as Implicit Measure of the Sense of Embodiment in Two User Studies. In 12th International Conference on Methods and Techniques in Behavioral Research, MB 2022. 2022.
• Luc Schoot Uiterkamp, Francesco Porcini, Gwenn Englebienne, Antonio Frisoli, Douwe Dresscher. Emg-based feedback modulation for increased transparency in teleoperation. In IEEE/RSJ International Conference on Intelligent Robots and Systems (IROS), pp. 599-604. IEEE, 2022.
• Sara Falcone, Anne-Marie Brouwer, Dirk Heylen, Jan Van Erp, Liang Zhang, Saket Sachin Pradhan, Ivo V. Stuldreher, Gwenn Englebienne et al. Pupil diameter as implicit measure to estimate sense of embodiment. In Proceedings of the Annual Meeting of the Cognitive Science Society, vol. 44, no. 44. 2022.
• Changqing Lu, Shreyasi Pathak, Gwenn Englebienne, Christin Seifert. Channel Contribution in Deep Learning Based Automatic Sleep Scoring - How Many Channels Do We Need?. In IEEE Transactions on Neural Systems and Rehabilitation Engineering 31 (2022): 494-505.
• Jan BF van Erp, Camille Sallaberry, Christiaan Brekelmans, Douwe Dresscher, Frank Ter Haar, Gwenn Englebienne, Jeanine Van Bruggen et al. What comes after telepresence? embodiment, social presence and transporting one's functional and social self. In 2022 IEEE international conference on systems, man, and cybernetics (SMC), pp. 2067-2072. IEEE, 2022. (Best Paper award.)
• Andrea Papenmeier, Dagmar Kern, Gwenn Englebienne, Christin Seifert. It's complicated: The relationship between user trust, model accuracy and explanations in AI. In ACM Transactions on Computer-Human Interaction (TOCHI) 29 no. 4 (2022): 1-33.

2021

• Beerend Gerats, Henri Bouma, Wouter Uijens, Gwenn Englebienne, Luuk Spreeuwers. Individual action and group activity recognition in soccer videos from a static panoramic camera. In 10th International Conference on Pattern Recognition Applications and Methods, ICPRAM 2021, pp. 594-601. SCITEPRESS, 2021.

2019

• Shenghui Wang, Rob Koopman, Gwenn Englebienne. Non-Parametric Subject Prediction. In International Conference on Theory and Practice of Digital Libraries, pp. 312-326. Cham: Springer International Publishing, 2019.
• Rob Koopman, Shenghui Wang, Gwenn Englebienne. Fast and discriminative semantic embedding. In Proceedings of the 13th International Conference on Computational Semantics-Long Papers, pp. 235-246. 2019.
• Jered Vroon, Gwenn Englebienne, Vanessa Evers. Detecting perceived appropriateness of a robot's social positioning behavior from non-verbal cues. In 2019 IEEE First International Conference on Cognitive Machine Intelligence (CogMI), pp. 216-225. IEEE, 2019.
• Andrea Papenmeier, Gwenn Englebienne, Christin Seifert. How model accuracy and explanation fidelity influence user trust. In arXiv preprint arXiv:1907.12652 (2019).

2018

• Jansen, Michel-Pierre, Dirk KJ Heylen, Khiet Phuong Truong, Deniece Saniah Nazareth, and Gwenn Englebienne. The mulai corpus: Multimodal recordings of spontaneous laughter in dyadic interaction. In Laughter Workshop 2018, pp. 58-63. 2018.
• Stefan-Daniel Suvei, Jered Vroon, Vella V. Somoza Sanchéz, Leon Bodenhagen, Gwenn Englebienne, Norbert Krüger, Vanessa Evers. 'I would like to get close to you': Making robot personal space invasion less intrusive with a social gaze cue. In International Conference on Universal Access in Human-Computer Interaction, pp. 366-385. Cham: Springer International Publishing, 2018.
• Ekin Gedik, Laura Cabrera-Quiros, Claudio Martella, Gwenn Englebienne, Hayley Hung. Towards analyzing and predicting the experience of live performances with wearable sensing. In IEEE Transactions on Affective Computing 12, no. 1 (2018): 269-276.
• Ahmed Nait Aicha, Gwenn Englebienne, Ben J.A. Kröse. Continuous measuring of the indoor walking speed of older adults living alone. In Journal of ambient intelligence and humanized computing 9, no. 3 (2018): 589-599.
• Ahmed Nait Aicha, Gwenn Englebienne, Kimberley S. Van Schooten, Mirjam Pijnappels, Ben Kröse. Deep learning to predict falls in older adults based on daily-life trunk accelerometry. In Sensors 18, no. 5 (2018): 1654.

2017

• Matthias de Visser, Shengfa Miao, Gwenn Englebienne, Anna Maria Sools, and Klaasjan Visscher. Machine-based mapping of innovation portfolios. In 18th International CINet Conference 2017. 2017.
• Jaebok Kim, Ibrahim H. Shareef, Peter Regier, Khiet P. Truong, Vicky Charisi, Cristina Zaga, Maren Bennewitz, Gwenn Englebienne, Vanessa Evers. Automatic ranking of engagement of a group of children 'in the wild' using emotional states and deep pose machines. In Proceedings of the workshop on creating meaning with robot assistants: The gap left by smart devices at the IEEE-RAS International Conference on Humanoid Robots (Humanoids). Birmingham, UK, pp. 1-6. 2017.
• Josca van Houwelingen-Snippe, Jered Vroon, Gwenn Englebienne, Pim Haselager. Blame my telepresence robot joint effect of proxemics and attribution on interpersonal attraction. In 26th IEEE international symposium on robot and human interactive communication (RO-MAN), pp. 162-168. IEEE, 2017.
• Jaebok Kim, Gwenn Englebienne, Khiet P. Truong, Vanessa Evers. Deep temporal models using identity skip-connections for speech emotion recognition. In Proceedings of the 25th ACM international conference on Multimedia, pp. 1006-1013. 2017.
• Jaebok Kim, Khiet P. Truong, Gwenn Englebienne, Vanessa Evers. Learning spectro-temporal features with 3D CNNs for speech emotion recognition. In Seventh International Conference on Affective Computing and Intelligent Interaction (ACII), pp. 383-388. IEEE, 2017.
• Jaebok Kim, Gwenn Englebienne, Khiet P. Truong, Vanessa Evers Towards speech emotion recognition" in the wild" using aggregated corpora and deep multi-task learning. in arXiv preprint arXiv:1708.03920 (2017).
• Ahmed Nait Aicha, Gwenn Englebienne, Ben Kröse Continuous measuring of the indoor walking speed of older adults living alone in Journal of Ambient Intelligence and Humanized Computing 2017, pp. 1-11
• Ahmed Nait Aicha, Gwenn Englebienne, Ben Kröse Unsupervised visit detection in smart homes in Pervasive and Mobile Computing 34 2017, pp. 157-167
• Saskia Robben, Gwenn Englebienne, Ben Kröse Delta Features From Ambient Sensor Data are Good Predictors of Change in Functional Health In IEEE Journal of Biomedical and Health Informatics (2016)

2016

• Julian Kooij, Gwenn Englebienne, Dariu Gavrila Mixture of Switching Linear Dynamics to Discover Behavior Patterns in Object Tracks in IEEE Transactions on Pattern Analysis and Machine Intelligence 2016, vol. 38, issue 2, pp. 322 - 334
• Ninghang Hu, Zhongyu Lou, Gwenn Englebienne, Ben Kröse Learning to Recognize Human Activities using Soft Labels in IEEE Transactions on Pattern Analysis and Machine Intelligence 2016, vol. 3x, issue x, pp.
• Zeynab Talebpour, Deepak Viswanathan, R. Ventura, Gwenn Englebienne, A. Martinoli. (2016, August). Incorporating perception uncertainty in human-aware navigation: A comparative study. In 25th IEEE International Symposium on Robot and Human Interactive Communication (RO-MAN), 2016 pp. 570-577
• Jered H. Vroon, Gwenn Englebienne, Vanessa Evers. Responsive social agents: Feedback-sensitive behavior generation for social interactions. In Proceedings of the 8th International Conference on Social Robotics, ICSR 2016 pp 126-137.
• Ninghang Hu, Aaron Bestick, Gwenn Englebienne, Ruzena Bajscy, and Ben Kröse. Human intent forecasting using intrinsic kinematic constraints. In 2016 IEEE/RSJ International Conference on Intelligent Robots and Systems (IROS), pp. 787-793.

2015

• Rob Koopman, Shenghui Wang, Andrea Scharnhorst, Gwenn Englebienne Ariadne's Thread: Interactive Navigation in a World of Networked Information In Proceedings of the 33rd Annual ACM Conference extended abstracts on Human Factors in Computing Systems, 2015, pp. 1833 - 1838
• Ahmed Nait Aicha, Gwenn Englebienne, Ben Kröse Continuous Gait Velocity Analysis Using Ambient Sensors in a Smart Home in Ambient Intelligence, Lecture Notes in Computer Science vol 9425, 2015, pp. 219-235
• Tim van Oosterhout, Gwenn Englebienne, Ben J.A. Kröse RARE: people detection in crowded passages by range image reconstruction In Machine Vision and Applications, 2015, Vol 26, 5, pp. 561 - 573
• Claudio Martella, Ekin Gedik, Laura Cabrera-Quiros, Gwenn Englebienne, Hayley Hung How was it? Exploiting Smartphone Sensing to Measure Implicit Audience Responses to Live Performances In Proceedings of the 23rd ACM international conference on Multimedia, 2015, pp. 201 - 210
• Ninghang Hu, Gwenn Englebienne, Zhongyu Lou, Ben Kröse Learning latent structure for activity recognition in IEEE Transactions on Robotics 2015, Vol. 31, 6 pp. 1472 - 1482
• Ninghang Hu, Gwenn Englebienne, Zhongyu Lou, Ben Kröse A hierarchical representation for human activity recognition with noisy labels in Proceedings of the International Conference on Intelligent Robots and Systems 2015, pp. 2517 - 2522
• Julian Kooij, Gwenn Englebienne, Dariu Gavrila Identifying multiple objects from their appearance in inaccurate detections in Computer Vision and Image Understanding 2015, Vol. 136, pp. 103-116
• Jered Vroon, Michiel Joosse, Manja Lohse, Jan Kolkmeier, Jaebok Kim, Khiet Truong, Gwenn Englebienne, Dirk Heylen, Vanessa Evers Dynamics of social positioning patterns in group-robot interactions in Proceedings of the 24th IEEE international Symposium on Robot and Human Interactive Communication 2015, pp. 394 - 399
• Kyriacos Shiarlis, Joao Messias, Maarten van Someren, Shimon Whiteson, Jaebok Kim, Jered Vroon, Gwenn Englebienne, Khiet Truong, Vanessa Evers, Noé Pérez-Higueras, Ignacio Pérez-Hurtado, Rafael Ramon-Vigo, Fernando Caballero, Luis Merino, Jie Shen, Stavros Petridis, Maja Pantic, Lasse Hedman, Marten Scherlund, Raphaël Koster, Hervé Michel TERESA: a socially intelligent semi-autonomous telepresence system in Workshop on Machine Learning for Social Robotics at ICRA-2015, 2015

2014

• Kristin Rieping, Gwenn Englebienne, Ben Kröse Behavior analysis of elderly using topic models in Pervasive and Mobile Computing vol 15, 2014, pp. 181 - 199
• Ahmed Nait Aicha, Gwenn Englebienne, Ben Kröse Modeling visit behaviour in smart homes using unsupervised learning in Proceedings of the 2014 ACM International Joint Conference on Pervasive and Ubiquitous Computing: Adjunct Publication vol 15, 2014, pp. 1193-1200
• Ninghang Hu, Gwenn Englebienne, Zhongyu Lou, Ben Kröse Learning latent structure for activity recognition in Proceedings of the International Conference on robotics and automation 2014, pp. 1048 - 1053
• Ninghang Hu, Gwenn Englebienne, Ben Kröse A two-layered approach to recognize high-level human activities in Proceedings of the International Symposium on Robot and Human Interactive Communication 2014, pp. 1048 - 1053
• Francisco Javier Ordonez, Gwenn Englebienne, P. de Toledo, Tim van Kasteren, Araceli Sanchis, Ben Kröse In-Home Activity Recognition: Bayesian Inference for Hidden Markov Models in IEEE Pervasive Computing 13, 3, 2014 pp. 67 - 75
• Ninghang Hu, Zhongyu Lou, Gwenn Englebienne, Ben Kröse Learning to Recognize Human Activities from Soft Labeled Data in Robotics: Science and Systems X 2014
• Hayley Hung, Gwenn Englebienne, Laura Cabrera-Quiros Detecting conversing groups with a single worn accelerometer In Proceedings of the 16th International Conference on Multimodal Interaction, 2014, pp. 84 - 91

2013

• Ahmed Nait Aicha, Gwenn Englebienne, Ben Kröse How lonely is your grandma? Detecting the visits to assisted-living elderly from wireless sensor network data In Proceedings of the 2013 ACM conference on Pervasive and Ubiquitous computing, 2013, pp. 1285-1294
• Hayley Hung, Gwenn Englebienne Systematic evaluation of social behaviour modelling with a single accelerometer In Proceedings of the 2013 ACM conference on Pervasive and Ubiquitous computing, 2013, pp. 127-130
• Hayley Hung, Gwenn Englebienne, Jeroen Kools Classifying social actions with a single accelerometer In Proceedings of the 2013 ACM conference on Pervasive and Ubiquitous computing, 2013, pp. 207-210
• Vijay John, Gwenn Englebienne, Ben Kröse Person Re-Identification Using Height-Based Gait in Colour Depth Camera In Proceedings of the 2013 IEEE International Conference on Image Processing, 2013, pp. 3345-3349
• Vijay John, Gwenn Englebienne, Ben Kröse Solving Person Re-identification in Non-overlapping Camera using Efficient Gibbs Sampling In Proceedings of the 2013 British Machine Vision Conference, 2013
• Ninghang Hu, Gwenn Englebienne, Ben Kröse Posture Recognition with a top-view camera In Proceedings of IROS , Tokyo, Japan 2013
• Francisco Javier Ordoñez, Gwenn Englebienne, Paula de Toledo, Tim van Kasteren, Ben J.A. Kröse Bayesian Inference in Hidden Markov Models for In-Home Activity Recognition In IEEE Pervasive Computing, to appear

2012

• Gwenn Englebienne, Hayley Hung Mining for Motivation: Using a Single Wearable Accelerometer to Detect People s Interests In Proceedings of the 2nd ACM international workshop on Interactive multimedia on mobile and portable devices, 2012, pp. 23-26
• Saskia Robben, Gwenn Englebienne, Margriet Pol, Ben Kröse How Is Grandma Doing? Predicting Functional Health Status from Binary Ambient Sensor Data In 2012 AAAI Fall Symposium Series
• Ahmed Nait Aicha, Gwenn Englebienne, Ben Kröse How busy is my supervisor? Detecting the visits in the office of my supervisor using a sensor network In Proceedings of the 5th International Conference on Pervasive Technologies Related to Assistive Environments
• Julian F.P. Kooij, Gwenn Englebienne, Dariu M. Gavrila A non-parametric hierarchical model to discover behavior dynamics from tracks In Lecture Notes in Computer Science, ECCV2012 part VI, pp. 270-283
• Vijay John, Gwenn Englebienne, Ben Krose Relative Camera Localisation in Non-overlapping Camera Networks Using Multiple Trajectories In Lecture Notes in Computer Science Volume 7585, ECCV2012 Workshop proceedings, 2012, pp 141-150
• Ninghang Hu, Gwenn Englebienne, Ben Kröse Bayesian Fusion of Ceiling Mounted Camera and Laser Range Finder on a Mobile Robot for People Detection and Localization In Lecture Notes in Computer Science Volume 7559, Human Behavior Understanding, 2012, pp. 41-51, 2012.
• Athanasios K. Noulas, Gwenn Englebienne and Ben J. A. Kröse. Multimodal Speaker Diarization In IEEE Transactions on Pattern Analysis and Machine Intelligence (TPAMI), Volume 34, Issue 1, pp. 79 - 93. January 2012.

2011

• David V. Keyson, Mary Lou Maher, Norbert Streitz, Adrian Cheok, Juan Carlos Augusto, Reiner Wichert, Gwenn Englebienne, Hamid Aghajan and Ben J.A. Kröse (Editors) Ambient Intelligence, Proceedings of the Second International Joint Conference on AmI 2011 In Lecture Notes in Computer Science Volume 7040, 2011,
• Gwenn Englebienne Bayesian Methods for the Analysis of Human Behavior Book chapter in Computer Analysis of Human Behavior, Albert Ali Salah and Theo Gevers (editors). Springer Verlag, 2011. ISBN 978-0-85729-993-2
• Tim L. M. van Kasteren, Gwenn Englebienne and Ben J. A. Kröse Human Activity Recognition from Wireless Sensor Network Data: Benchmark and Software Book chapter in Activity Recognition in Pervasive Intelligent Environments Atlantis Ambient and Pervasive In- telligence, 2011, Volume 4, pp. 165 186
• Tim L. M. van Kasteren, Gwenn Englebienne and Ben J. A. Kröse. Hierarchical Activity Recognition using Automatic Clustering of Actions In Proceedings of the International Conference on Ambient Intelligence, November 2011
• Nimrod Raiman, Hayley Hung, Gwenn Englebienne Move, and I will tell you who you are: detecting deceptive roles in low-quality data In Proceedings of the ICMI 2011 (November 2011) pp. 201 204

2010

• Gwenn Englebienne and Ben J. A. Kröse. Fast Bayesian People Detection [pdf]
  In proceedings of the 22nd benelux AI conference (BNAIC 2010)
  Winner of the Best Original Paper award
• Shenghui Wang, Gwenn Englebienne, Christophe Gueret, Stefan Schlobach, Antoine Isaac and Martijn Schut. Similarity Features, and their Role in Concept Alignment Learning. In Proceedings of the Fourth International Conference on Advances in Semantic Processing (SEMAPRO2010). October 2010, Florence, Italy. (Best Paper award.)
• Tim L. M. van Kasteren, Gwenn Englebienne and Ben J. A. Kröse An activity monitoring system for elderly care using generative and discriminative models in Journal of Personal and Ubiquitous Computing Volume 14 , Issue 6 (September 2010). Pages: 489 - 498
• T.L.M. van Kasteren, Gwenn Englebienne and B.J.A. Kröse Transferring Knowledge of Activity Recognition across Sensor Networks in PERVASIVE COMPUTING, Lecture Notes in Computer Science, 2010, Volume 6030/2010, Pages: 283-300, DOI: 10.1007/978-3-642-12654-3_17
• Tim L. M. van Kasteren, Gwenn Englebienne and Ben J. A. Kröse Activity recognition using semi-Markov models on real world smart home datasets in Journal of Ambient Intelligence and Smart Environments Volume 2, Number 3 / 2010. Pages 311-325, IOS Press, ISSN 1876-1364.

2009

• Gwenn Englebienne, Tim van Oosterhout and Ben J. A. Kröse. Tracking in Sparse Multi-Camera Setups using Stereo Vision In Proceedings of the Third ACM/IEEE International Conference on Distributed Smart Cameras (ICDSC 2009) (pdf)
• Tim L.M. van Kasteren, Gwenn Englebienne and Ben J.A. Kröse. Recognizing Activities in Multiple Homes using Transfer Learning In Proceedings of Advanced School of Computing & Imaging Conference (ASCI'09). Zeewolde, The Netherlands. 2009
• Gwenn Englebienne. Generating lip movements from speech Ph.D. Thesis (pdf, Dataset)
  Winner of the Manchester Computer Science Best Thesis Award, 2009

2008

• Shenghui Wang, Gwenn Englebienne and Stefan Schlobach. Learning Concept Mappings from Instance Similarity. In Proceedings of the 7th International Semantic Web Conference (ISWC2008). Karlsruhe, Germany, October 2008. (pdf)
• Tim van Kasteren and Athanasios K. Noulas and Gwenn Englebienne and Ben J. A. Kröse Accurate Activity Recognition in a Home Setting UbiComp, volume 344 of ACM International Conference Proceeding Series, page 1-9. ACM, (2008)

2007

• Gwenn Englebienne, Tim Cootes and Magnus Rattray A probabilistic model for generating realistic lip movements from speech. Advances in Neural Information Processing Systems (NIPS), December 2007, (pdf, Dataset)