Journal Articles

Resende Faria, D (2026) Future Human–Technology Interactions and Their Intelligent Applications, Applied Sciences, 16(7), pp.3224-3224, DOI: 10.3390/app16073224.

Odake, EM, Resende-Faria, D, Ribeiro, EP (2026) Cross-subject EEG mental state recognition via correlation-based feature selection, Applied Sciences, 16(2), 1011, ISSN: 2076-3417. DOI: 10.3390/app16021011.

Weinberg, AI, Premebida, C, Faria, DR (2025) Causality from bottom to top: a survey, Machine Learning, 114(11), 234, ISSN: 0885-6125. DOI: 10.1007/s10994-025-06855-5.

Faria, DR and da Silva Ayrosa, PP (2025) Adaptive Neuro-Affective Engagement via Bayesian Feedback Learning in Serious Games for Neurodivergent Children, Applied Sciences, 15(13), pp.7532-7532, DOI: 10.3390/app15137532.

Faria, DR, Godkin, AL, da Silva Ayrosa, PP (2025) Advancing Emotionally Aware Child–Robot Interaction with Biophysical Data and Insight-Driven Affective Computing, Sensors, 25(4), pp.1161-1161, DOI: 10.3390/s25041161.

Vidhya, V and Resende Faria, D (2025) Real-Time Gaze Estimation Using Webcam-Based CNN Models for Human–Computer Interactions, Computers, 14(2), pp.57-57, DOI: 10.3390/computers14020057.

Venugopal, A and Resende Faria, D (2024) Boosting EEG and ECG Classification with Synthetic Biophysical Data Generated via Generative Adversarial Networks, Applied Sciences, 14(23), pp.10818-10818, DOI: 10.3390/app142310818.

Resende Faria, D, Weinberg, AI, Ayrosa, PP (2024) Multimodal Affective Communication Analysis: Fusing Speech Emotion and Text Sentiment Using Machine Learning, Applied Sciences, 14(15), pp.6631-6631, DOI: 10.3390/app14156631.

Bird, JJ, Ekárt, A, Faria, DR (2023) Chatbot Interaction with Artificial Intelligence: human data augmentation with T5 and language transformer ensemble for text classification, Journal of Ambient Intelligence and Humanized Computing, 14(4), pp.3129-3144, ISSN: 1868-5137. DOI: 10.1007/s12652-021-03439-8.

Bird, JJ, Barnes, CM, Manso, LJ, Ekárt, A, Faria, DR (2022) Fruit quality and defect image classification with conditional GAN data augmentation, Scientia Horticulturae, 293, pp.110684-110684, ISSN: 0304-4238. DOI: 10.1016/j.scienta.2021.110684.

Bachiller, P, Rodriguez-Criado, D, Jorvekar, RR, Bustos, P, Faria, DR, Manso, LJ (2022) A graph neural network to model disruption in human-aware robot navigation, Multimedia Tools and Applications, 81(3), pp.3277-3295, ISSN: 1380-7501. DOI: 10.1007/s11042-021-11113-6.

Melotti, G, Premebida, C, Bird, JJ, Faria, DR, Goncalves, N (2022) Reducing Overconfidence Predictions in Autonomous Driving Perception, IEEE Access, 10, pp.54805-54821, DOI: 10.1109/access.2022.3175195.

Arantes, RB, Vogiatzis, G, Faria, DR (2021) Learning an augmentation strategy for sparse datasets, Image and Vision Computing, 117, 104338, ISSN: 0262-8856. DOI: 10.1016/j.imavis.2021.104338.

Carfì, A, Patten, T, Kuang, Y, Hammoud, A, Alameh, M, Maiettini, E, Weinberg, AI, Faria, D, Mastrogiovanni, F, Alenyà, G, Natale, L, Perdereau, V, Vincze, M, Billard, A (2021) Hand-Object Interaction: From Human Demonstrations to Robot Manipulation, Frontiers in Robotics and AI, 8, 714023, DOI: 10.3389/frobt.2021.714023.

Bird, JJ, Faria, DR, Manso, LJ, Ayrosa, PPS, Ekárt, A (2021) A study on CNN image classification of EEG signals represented in 2D and 3D, Journal of Neural Engineering, 18(2), pp.026005-026005, ISSN: 1741-2560. DOI: 10.1088/1741-2552/abda0c.

Bird, JJ, Pritchard, M, Fratini, A, Ekart, A, Faria, DR (2021) Synthetic Biological Signals Machine-Generated by GPT-2 Improve the Classification of EEG and EMG Through Data Augmentation, IEEE Robotics and Automation Letters, 6(2), pp.3498-3504, DOI: 10.1109/lra.2021.3056355.

Kobylarz, J, Bird, JJ, Faria, DR, Ribeiro, EP, Ekárt, A (2020) Thumbs up, thumbs down: non-verbal human-robot interaction through real-time EMG classification via inductive and supervised transductive transfer learning, Journal of Ambient Intelligence and Humanized Computing, 11(12), pp.6021-6031, ISSN: 1868-5137. DOI: 10.1007/s12652-020-01852-z.

Lotfi, A, Pourabdollah, A, Faria, DR (2020) Special issue on human behaviour monitoring, interpretation and understanding, Journal of Ambient Intelligence and Humanized Computing, 11(12), pp.5943-5945, ISSN: 1868-5137. DOI: 10.1007/s12652-020-02544-4.

Bird, JJ, Barnes, CM, Premebida, C, Ekárt, A, Faria, DR (2020) Country-level pandemic risk and preparedness classification based on COVID-19 data: A machine learning approach, PLOS ONE, 15(10), pp.e0241332-e0241332, DOI: 10.1371/journal.pone.0241332.

Bird, JJ, Ekárt, A, Faria, DR (2020) British Sign Language Recognition via Late Fusion of Computer Vision and Leap Motion with Transfer Learning to American Sign Language, Sensors, 20(18), pp.5151-5151, DOI: 10.3390/s20185151.

Bird, JJ, Wanner, E, Ekárt, A, Faria, DR (2020) Optimisation of phonetic aware speech recognition through multi-objective evolutionary algorithms, Expert Systems with Applications, 153, pp.113402-113402, ISSN: 0957-4174. DOI: 10.1016/j.eswa.2020.113402.

Bird, JJ, Ekárt, A, Faria, DR (2020) On the effects of pseudorandom and quantum-random number generators in soft computing, Soft Computing, 24(12), pp.9243-9256, ISSN: 1432-7643. DOI: 10.1007/s00500-019-04450-0.

Manso, LJ, Nuñez, P, Calderita, LV, Faria, DR, Bachiller, P (2020) SocNav1: A Dataset to Benchmark and Learn Social Navigation Conventions, Data, 5(1), pp.7-7, DOI: 10.3390/data5010007.

Bird, JJ, Kobylarz, J, Faria, DR, Ekart, A, Ribeiro, EP (2020) Cross-Domain MLP and CNN Transfer Learning for Biological Signal Processing: EEG and EMG, IEEE Access, 8, pp.54789-54801, DOI: 10.1109/access.2020.2979074.

Faria, DR, Bird, JJ, Daquana, C, Kobylarz, J, Ayrosa, PPS (2020) Towards AI-based Interactive Game Intervention to Monitor Concentration Levels in Children with Attention Deficit, International Journal of Information and Education Technology, 10(9), pp.641-648, DOI: 10.18178/ijiet.2020.10.9.1437.

Coppola, C, Cosar, S, Faria, DR, Bellotto, N (2020) Social Activity Recognition on Continuous RGB-D Video Sequences, International Journal of Social Robotics, 12(1), pp.201-215, ISSN: 1875-4791. DOI: 10.1007/s12369-019-00541-y.

Bird, JJ, Faria, DR, Manso, LJ, Ekárt, A, Buckingham, CD (2019) A Deep Evolutionary Approach to Bioinspired Classifier Optimisation for Brain‐Machine Interaction, Complexity, 2019(1), 4316548, ISSN: 1076-2787. DOI: 10.1155/2019/4316548.

Nunes, UM, Faria, DR, Peixoto, P (2017) A human activity recognition framework using max-min features and key poses with differential evolution random forests classifier, Pattern Recognition Letters, 99, pp.21-31, ISSN: 0167-8655. DOI: 10.1016/j.patrec.2017.05.004.

Vital, JPM, Faria, DR, Dias, G, Couceiro, MS, Coutinho, F, Ferreira, NMF (2017) Combining discriminative spatiotemporal features for daily life activity recognition using wearable motion sensing suit, Pattern Analysis and Applications, 20(4), pp.1179-1194, ISSN: 1433-7541. DOI: 10.1007/s10044-016-0558-7.

Premebida, C, Faria, DR, Nunes, U (2017) Dynamic Bayesian network for semantic place classification in mobile robotics, Autonomous Robots, 41(5), pp.1161-1172, ISSN: 0929-5593. DOI: 10.1007/s10514-016-9600-2.

Faria, DR, Trindade, P, Lobo, J, Dias, J (2014) Knowledge-based reasoning from human grasp demonstrations for robot grasp synthesis, Robotics and Autonomous Systems, 62(6), pp.794-817, ISSN: 0921-8890. DOI: 10.1016/j.robot.2014.02.003.

Faria, DR, Martins, R, Lobo, J, Dias, J (2012) Extracting data from human manipulation of objects towards improving autonomous robotic grasping, Robotics and Autonomous Systems, 60(3), pp.396-410, ISSN: 0921-8890. DOI: 10.1016/j.robot.2011.07.020.

Faria, DR, Martins, R, Lobo, J, Dias, J (2012) A Probabilistic Framework to Detect Suitable Grasping Regions on Objects, IFAC Proceedings Volumes, 45(22), pp.247-252, ISSN: 1474-6670. DOI: 10.3182/20120905-3-hr-2030.00090.

Conferences

Faria, DR (2026) Bayesian Proximal Policy Optimization with Adaptive Learning and Episodic Memory for Social Robot Navigation. In 17th International Conference on Social Robotics + AI (ICSR+AI), Naples, Italy, pp.387-399, ISBN: 9789819523818. DOI: 10.1007/978-981-95-2382-5_27.

Ghamati, K, Amirabdollahian, F, Faria, DR, Zaraki, A (2025) Cognitive Agentic AI: Probabilistic Novelty Detection for Continual Adaptation in HRI. In 2025 34th IEEE International Conference on Robot and Human Interactive Communication (RO-MAN), pp.2395-2402, DOI: 10.1109/ro-man63969.2025.11217818.

Venugopal, A and Faria, DR (2025) Generating Synthetic EEG Data Using Generative AI for Mental States Prediction in Human-Machine Interaction. In , pp.446-456, ISBN: 9789819635245. DOI: 10.1007/978-981-96-3525-2_37.

Venugopal, A and Faria, DR (2025) Employing WGAN-GP for Synthesizing Biophysical Data: Generating Synthetic EEG for Concentration and Relaxation Level Prediction. In , pp.62-80, ISBN: 9783031853623. DOI: 10.1007/978-3-031-85363-0_5.

Manoharan, G and Faria, DR (2024) Enhanced Mental State Classification Using EEG-Based Brain–Computer Interface Through Deep Learning. In , pp.570-586, ISBN: 9783031664304. DOI: 10.1007/978-3-031-66431-1_40.

Pritchard, M, Weinberg, AI, Williams, JAR, Campelo, F, Goldingay, H, Faria, DR (2021) Dynamic Fusion of Electromyographic and Electroencephalographic Data towards Use in Robotic Prosthesis Control. In , Journal of Physics: Conference Series, pp.012056-012056, DOI: 10.1088/1742-6596/1828/1/012056.

Dolopikos, C, Pritchard, M, Bird, JJ, Faria, DR (2021) Electromyography Signal-Based Gesture Recognition for Human-Machine Interaction in Real-Time Through Model Calibration. In , pp.898-914, ISBN: 9783030731021. DOI: 10.1007/978-3-030-73103-8_65.

Manso, LJ, Jorvekar, RR, Faria, DR, Bustos, P, Bachiller, P (2021) Graph Neural Networks for Human-Aware Social Navigation. In , pp.167-179, ISBN: 9783030625788. DOI: 10.1007/978-3-030-62579-5_12.

Bird, JJ, Faria, DR, Premebida, C, Ekart, A, Vogiatzis, G (2020) Look and Listen: A Multi-modality Late Fusion Approach to Scene Classification for Autonomous Machines. In 2020 IEEE/RSJ International Conference on Intelligent Robots and Systems (IROS), pp.10380-10385, DOI: 10.1109/iros45743.2020.9341557.

Kuang, Y, Weinberg, AI, Vogiatzis, G, Faria, DR (2020) Goal Density-based Hindsight Experience Prioritization for Multi-Goal Robot Manipulation Reinforcement Learning. In 2020 29th IEEE International Conference on Robot and Human Interactive Communication (RO-MAN), pp.432-437, DOI: 10.1109/ro-man47096.2020.9223473.

Bird, JJ, Faria, DR, Ekart, A, Ayrosa, PPS (2020) From Simulation to Reality: CNN Transfer Learning for Scene Classification. In 2020 IEEE 10th International Conference on Intelligent Systems (IS), pp.619-625, DOI: 10.1109/is48319.2020.9199968.

Bird, JJ, Faria, DR, Premebida, C, Ekart, A, Ayrosa, PPS (2020) Overcoming Data Scarcity in Speaker Identification: Dataset Augmentation with Synthetic MFCCs via Character-level RNN. In 2020 IEEE International Conference on Autonomous Robot Systems and Competitions (ICARSC), pp.146-151, DOI: 10.1109/icarsc49921.2020.9096166.

Arantes, RB, Vogiatzis, G, Faria, DR (2020) CSC-GAN: Cycle and Semantic Consistency for Dataset Augmentation. In , pp.170-181, ISBN: 9783030645557. DOI: 10.1007/978-3-030-64556-4_14.

Arantes, RB, Vogiatzis, G, Faria, DR (2020) rcGAN: Learning a Generative Model for Arbitrary Size Image Generation. In , pp.80-94, ISBN: 9783030645557. DOI: 10.1007/978-3-030-64556-4_7.

Ashford, J, Bird, JJ, Campelo, F, Faria, DR (2020) Classification of EEG Signals Based on Image Representation of Statistical Features. In , pp.449-460, ISBN: 9783030299323. DOI: 10.1007/978-3-030-29933-0_37.

Bird, JJ, Ekárt, A, Faria, DR (2020) Phoneme Aware Speech Synthesis via Fine Tune Transfer Learning with a Tacotron Spectrogram Prediction Network. In , pp.271-282, ISBN: 9783030299323. DOI: 10.1007/978-3-030-29933-0_23.

Bird, JJ, Wanner, E, Ekárt, A, Faria, DR (2019) Phoneme aware speech recognition through evolutionary optimisation. In GECCO '19: Genetic and Evolutionary Computation Conference, Proceedings of the Genetic and Evolutionary Computation Conference Companion, pp.362-363, DOI: 10.1145/3319619.3321951.

Bird, JJ, Wanner, E, Ekárt, A, Faria, DR (2019) Accent classification in human speech biometrics for native and non-native english speakers. In PETRA '19: The 12th PErvasive Technologies Related to Assistive Environments Conference, Proceedings of the 12th ACM International Conference on PErvasive Technologies Related to Assistive Environments, pp.554-560, DOI: 10.1145/3316782.3322780.

Bird, J and Faria, D (2019) A Bioinspired Approach for Mental Emotional State Perception towards Social Awareness in Robotics. In UK-RAS19 Conference: "Embedded Intelligence: Enabling and Supporting RAS Technologies", UK-RAS Conference for PhD and Early Career Researchers Proceedings, pp.8-11, DOI: 10.31256/ukras19.3.

Arantes, RB, Vogiatzis, G, Faria, D (2019) QuiltGAN: An Adversarially Trained, Procedural Algorithm for Texture Generation. In , pp.423-432, ISBN: 9783030349943. DOI: 10.1007/978-3-030-34995-0_38.

Bird, JJ, Ekárt, A, Faria, DR (2019) Learning from Interaction: An Intelligent Networked-Based Human-Bot and Bot-Bot Chatbot System. In , pp.179-190, ISBN: 9783319979816. DOI: 10.1007/978-3-319-97982-3_15.

Hussain, M, Bird, JJ, Faria, DR (2019) A Study on CNN Transfer Learning for Image Classification. In , pp.191-202, ISBN: 9783319979816. DOI: 10.1007/978-3-319-97982-3_16.

Melotti, G, Premebida, C, Goncalves, NMMDS, Nunes, UJC, Faria, DR (2018) Multimodal CNN Pedestrian Classification: A Study on Combining LIDAR and Camera Data. In 2018 21st International Conference on Intelligent Transportation Systems (ITSC), pp.3138-3143, DOI: 10.1109/itsc.2018.8569666.

Tatarian, K, Couceiro, MS, Ribeiro, EP, Faria, DR (2018) Stepping-stones to Transhumanism: An EMG-controlled Low-cost Prosthetic Hand for Academia. In 2018 International Conference on Intelligent Systems (IS), pp.807-812, DOI: 10.1109/is.2018.8710489.

Bird, JJ, Manso, LJ, Ribeiro, EP, Ekart, A, Faria, DR (2018) A Study on Mental State Classification using EEG-based Brain-Machine Interface. In 2018 International Conference on Intelligent Systems (IS), pp.795-800, DOI: 10.1109/is.2018.8710576.

Golzadeh, H, Faria, DR, Manso, LJ, Ekart, A, Buckingham, CD (2018) Emotion Recognition using Spatiotemporal Features from Facial Expression Landmarks. In 2018 International Conference on Intelligent Systems (IS), pp.789-794, DOI: 10.1109/is.2018.8710573.

Faria, DR, Vieira, M, Faria, FCC, Premebida, C (2017) Affective facial expressions recognition for human-robot interaction. In 2017 26th IEEE International Symposium on Robot and Human Interactive Communication (RO-MAN), pp.805-810, DOI: 10.1109/roman.2017.8172395.

Coppola, C, Cosar, S, Faria, DR, Bellotto, N (2017) Automatic detection of human interactions from RGB-D data for social activity classification. In 2017 26th IEEE International Symposium on Robot and Human Interactive Communication (RO-MAN), pp.871-876, DOI: 10.1109/roman.2017.8172405.

Faria, DR, Vieira, M, Faria, FCC (2017) Towards the Development of Affective Facial Expression Recognition for Human-Robot Interaction. In PETRA '17: 10th International Conference on PErvasive Technologies Related to Assistive Environments, Proceedings of the 10th International Conference on PErvasive Technologies Related to Assistive Environments, pp.300-304, DOI: 10.1145/3056540.3076199.

Coppola, C, Faria, DR, Nunes, U, Bellotto, N (2016) Social activity recognition based on probabilistic merging of skeleton features with proximity priors from RGB-D data. In 2016 IEEE/RSJ International Conference on Intelligent Robots and Systems (IROS), pp.5055-5061, DOI: 10.1109/iros.2016.7759742.

Premebida, C, Faria, DR, Souza, FA, Nunes, U (2015) Applying probabilistic Mixture Models to semantic place classification in mobile robotics. In 2015 IEEE/RSJ International Conference on Intelligent Robots and Systems (IROS), pp.4265-4270, DOI: 10.1109/iros.2015.7353981.

Faria, DR, Vieira, M, Premebida, C, Nunes, U (2015) Probabilistic human daily activity recognition towards robot-assisted living. In 2015 24th IEEE International Symposium on Robot and Human Interactive Communication (RO-MAN), pp.582-587, DOI: 10.1109/roman.2015.7333644.

Faria, DR, Premebida, C, Nunes, U (2014) A probabilistic approach for human everyday activities recognition using body motion from RGB-D images. In 2014 RO-MAN: The 23rd IEEE International Symposium on Robot and Human Interactive Communication, The 23rd IEEE International Symposium on Robot and Human Interactive Communication, pp.732-737, DOI: 10.1109/roman.2014.6926340.

Faria, DR, Lobo, J, Dias, J (2012) Identifying objects from hand configurations during in-hand exploration. In 2012 IEEE International Conference on Multisensor Fusion and Integration for Intelligent Systems (MFI 2012), 2012 IEEE International Conference on Multisensor Fusion and Integration for Intelligent Systems (MFI), pp.132-137, DOI: 10.1109/mfi.2012.6343033.

Faria, DR, Martins, R, Lobo, J, Dias, J (2010) Probabilistic representation of 3D object shape by in-hand exploration. In 2010 IEEE/RSJ International Conference on Intelligent Robots and Systems (IROS 2010), 2010 IEEE/RSJ International Conference on Intelligent Robots and Systems, pp.1560-1565, DOI: 10.1109/iros.2010.5649286.

Faria, DR, Aliakbarpour, H, Dias, J (2009) Grasping movements recognition in 3D space using a bayesian approach. In , 2009 International Conference on Advanced Robotics Icar 2009.

Faria, DR and Dias, J (2009) 3D hand trajectory segmentation by curvatures and hand orientation for classification through a probabilistic approach. In 2009 IEEE/RSJ International Conference on Intelligent Robots and Systems (IROS 2009), 2009 IEEE/RSJ International Conference on Intelligent Robots and Systems, pp.1284-1289, DOI: 10.1109/iros.2009.5354792.

Simplício, C, Faria, DR, Dias, J (2007) 3D photo-realistic talking head for human-robot interaction. In , Proceedings of the 3rd International Conference on Advanced Research in Virtual and Rapid Prototyping Virtual and Rapid Manufacturing Advanced Research Virtual and Rapid Prototyping, pp.677-682.

Chapters

Vidhya, V and Faria, DR (2025) Webcam-based eye tracking using CNN: A versatile interface for gaze analysis and user interaction. In Impacts of Sensetech on Society, pp.343-372, DOI: 10.4018/979-8-3693-7147-3.ch013.

Macedo, ÁC, Silva, MB, Rocha, ACS, Nascimento, HADD, Faria, DR (2024) Uma abordagem prática voltada a aplicações de Interface Cérebro-Computador utilizando sinais de EEG. In Minicursos do XXIV Simpósio Brasileiro de Computação Aplicada à Saúde, SBC, pp.1-42, ISBN: 9788576695905. DOI: 10.5753/sbc.14090.5.1.

R. Faria, D, Premebida, C, J. Manso, L, P. Ribeiro, E, Núñez, P (2019) Multimodal Bayesian Network for Artificial Perception. In Bayesian Networks - Advances and Novel Applications, IntechOpen,ISBN: 9781839623226. DOI: 10.5772/intechopen.81111.

Bird, JJ, Ekárt, A, Buckingham, CD, Faria, DR (2019) High Resolution Sentiment Analysis by Ensemble Classification. In Advances in Intelligent Systems and Computing, Springer International Publishing, pp.593-606, ISBN: 9783030228705. DOI: 10.1007/978-3-030-22871-2_40.

Bird, JJ, Ekárt, A, Buckingham, CD, Faria, DR (2019) Evolutionary Optimisation of Fully Connected Artificial Neural Network Topology. In Advances in Intelligent Systems and Computing, Springer International Publishing, pp.751-762, ISBN: 9783030228705. DOI: 10.1007/978-3-030-22871-2_52.

Premebida, C, Souza, FAA, Faria, DR (2017) Dynamic Bayesian Network for Time-Dependent Classification Problems in Robotics. In Bayesian Inference, InTech,ISBN: 9789535135777. DOI: 10.5772/intechopen.70059.

Vieira, M, Faria, DR, Nunes, U (2016) Real-time Application for Monitoring Human Daily Activity and Risk Situations in Robot-Assisted Living. In Advances in Intelligent Systems and Computing, Springer International Publishing, pp.449-461, ISBN: 9783319271484. DOI: 10.1007/978-3-319-27149-1_35.

Hosseini, SJ, Faria, DR, Lobo, J, Dias, J (2012) Probabilistic Classification of Grasping Behaviours Using Visuo-Haptic Perception. In IFIP Advances in Information and Communication Technology, Springer Berlin Heidelberg, pp.241-248, ISBN: 9783642282546. DOI: 10.1007/978-3-642-28255-3_26.

Faria, DR, Martins, R, Lobo, J, Dias, J (2011) Manipulative Tasks Identification by Learning and Generalizing Hand Motions. In IFIP Advances in Information and Communication Technology, Springer Berlin Heidelberg, pp.173-180, ISBN: 9783642191695. DOI: 10.1007/978-3-642-19170-1_19.

Faria, DR, Martins, R, Dias, J (2010) Grasp Exploration for 3D Object Shape Representation Using Probabilistic Map. In IFIP Advances in Information and Communication Technology, Springer Berlin Heidelberg, pp.215-222, ISBN: 9783642116278. DOI: 10.1007/978-3-642-11628-5_23.

Caramelo, FJ, Faria, D, Ferreira, NC, Lima, JJP (2009) Registration of Planar Scintigraphy Data onto Video Images Obtained at Different Perspectives. In IFMBE Proceedings, Springer Berlin Heidelberg, pp.2280-2283, ISBN: 9783642038815. DOI: 10.1007/978-3-642-03882-2_606.

Other

Radhakrishnan, GG, Tveretina, O, Amirabdollahian, F, Faria, DR (2026) Multimodal Framework for Adaptive HRI via Dynamic Engagement and Affective Feedback. DOI: 10.1007/978-981-95-2379-5_4.