Keywords
Team
Human Machine Collaboration
Biography
Sotiris Manitsaris is a researcher whose work focuses on the analysis and modeling of human movement, with particular expertise in human-machine interaction, gesture recognition, and the application of digital technologies to craft and industrial trades. His research explores innovative methodologies that combine machine learning—notably *Multi-Task Learning* and *Meta Learning*—to improve the generalization of human action recognition models, while incorporating contextual and stochastic dimensions. A significant portion of his work focuses on the preservation and transmission of artisanal know-how, where he develops methodological frameworks that integrate motion capture, 3D modeling, and semantic representations to document and analyze professional gestures. His work also extends to industrial ergonomics, proposing solutions to optimize human-robot collaboration and reduce musculoskeletal risks, drawing on biomechanical models and wearable sensors. His interdisciplinary approach thus bridges the fields of movement sciences, artificial intelligence, and cultural studies, with practical applications in the areas of Industry 4.0, cultural heritage, and education.
Publication(s)
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2026
Representation and Preservation of Traditional Crafting Techniques DOI : 10.1007/978-3-032-05656-6_5
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2026
Meta and Multi-Task Learning for Action Recognition: A Survey DOI : 10.1109/ACCESS.2026.3665252
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2026
Beyond Pixels: Leveraging the Language of Soccer to Improve Spatio-Temporal Action Detection in Broadcast Videos DOI : 10.1007/978-3-032-07343-3_44
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2025
A Digitally Enhanced Ethnography for Craft Action and Process Understanding DOI : 10.3390/app15105408
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2025
Game State and Spatio-Temporal Action Detection in Soccer Using Graph Neural Networks and 3D Convolutional Networks DOI : 10.5220/0013161100003905
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2025
PosePilot - A Web-Based Application for Human Motion Data Analysis and Visualization DOI : 10.1109/FG61629.2025.11099475
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2025
Multi-Task Learning for Hierarchical Professional Gesture Recognition: State-Space Modeling for Task Temporal Dependencies DOI : 10.1109/FG61629.2025.11099170
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2024
Explainable AI in human motion: A comprehensive approach to analysis, modeling, and generation DOI : 10.1016/j.patcog.2024.110418
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2024
Interactive Visualization and Dexterity Analysis of Human Movement: AIMove Platform DOI : 10.1109/FG59268.2024.10581928
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2024
Multimodal Dictionaries for Traditional Craft Education DOI : 10.3390/mti8070063
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2023
Improving Human-Robot Collaboration in TV Assembly Through Computational Ergonomics: Effective Task Delegation and Robot Adaptation DOI : 10.1109/SMC53992.2023.10394021
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2023
Embodied edutainment experience in a museum: discovering glass-blowing gestures DOI : 10.1145/3610661.3616180
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2023
A Roadmap for Craft Understanding, Education, Training, and Preservation DOI : 10.3390/heritage6070280
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2023
Motion Capture Benchmark of Real Industrial Tasks and Traditional Crafts for Human Movement Analysis DOI : 10.1109/ACCESS.2023.3269581
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2023
Interactive Sensorimotor Guidance for Learning Motor Skills of a Glass Blower DOI : 10.1007/978-3-031-34732-0_3
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2022
Traditional Craft Training and Demonstration in Museums DOI : 10.3390/heritage5010025
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2022
Mixed-Reality Demonstration and Training of Glassblowing DOI : 10.3390/heritage5010006
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2022
A Representation Protocol for Traditional Crafts DOI : 10.3390/heritage5020040
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2022
Multimodal Narratives for the Presentation of Silk Heritage in the Museum DOI : 10.3390/heritage5010027
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2021
Egocentric Gesture Recognition Using 3D Convolutional Neural Networks for the Spatiotemporal Adaptation of Collaborative Robots DOI : 10.3389/fnbot.2021.703545
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2021
Editorial: Artificial Intelligence and Human Movement in Industries and Creation DOI : 10.3389/frobt.2021.712521
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2021
Stochastic-biomechanic modeling and recognition of human movement primitives, in industry, using wearables DOI : 10.3390/s21072497
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2020
Analyzing the kinematic and kinetic contributions of the human upper body’s joints for ergonomics assessment DOI : 10.1007/s12652-020-01926-y
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2020
Human Movement Representation on Multivariate Time Series for Recognition of Professional Gestures and Forecasting Their Trajectories DOI : 10.3389/frobt.2020.00080
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2020
Hidden Markov Modelling and Recognition of Euler-Based Motion Patterns for Automatically Detecting Risks Factors from the European Assembly Worksheet DOI : 10.1109/ICIP40778.2020.9190756
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2019
Multi-users online recognition of technical gestures for natural human–robot collaboration in manufacturing DOI : 10.1007/s10514-018-9704-y
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2019
Designing a web-based Automatic Ergonomic Assessment using Motion Data DOI : 10.1145/3316782.3322758
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2019
Extracting the Inertia Properties of the Human Upper Body Using Computer Vision DOI : 10.1007/978-3-030-34995-0_54
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2019
Towards a Professional Gesture Recognition with RGB-D from Smartphone DOI : 10.1007/978-3-030-34995-0_22
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2018
A Multimodal Approach for the Safeguarding and Transmission of Intangible Cultural Heritage: The Case of i-Treasures DOI : 10.1109/MIS.2018.111144858
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2018
Gesture recognition and sensorimotor learning-by-doing of motor skills in manual professions: A case study in the wheel-throwing art of pottery DOI : 10.1111/jcal.12210
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2018
A Natural User Interface for Gestural Expression and Emotional Elicitation to Access the Musical Intangible Cultural Heritage DOI : 10.1145/3127324
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2016
3D-scene modelling of professional gestures when interacting with moving, deformable and revolving objects DOI : 10.1145/2948910.2948949
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2016
Fingers gestures early-recognition with a unified framework for RGB or depth camera DOI : 10.1145/2948910.2948947
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2016
The i-treasures Intangible Cultural Heritage dataset DOI : 10.1145/2948910.2948944
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2016
On mapping emotional states and implicit gestures to sonification output from the 'Intangible Musical Instrument' DOI : 10.1145/2948910.2948950
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2016
Towards the design of augmented feedforward and feedback for sensorimotor learning of motor skills DOI : 10.1145/2948910.2948959
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2016
A tabletop instrument for manipulation of sound morphologies with hands, fingertips and upper-body DOI : 10.1145/2948910.2948946
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2016
A user-adaptive gesture recognition system applied to human-robot collaboration in factories DOI : 10.1145/2948910.2948933
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2016
X2Gesture: How machines could learn expressive gesture variations of expert musicians
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2015
Towards the Design of a Natural User Interface for Performing and Learning Musical Gestures DOI : 10.1016/j.promfg.2015.07.952
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2015
Finger musical gesture recognition in 3D space without any tangible instrument for performing arts DOI : 10.1504/IJART.2015.067390
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2015
Gesture recognition technologies for gestural know-how management: Preservation and transmission of expert gestures in wheel throwing pottery DOI : 10.5220/0005475904050410
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2015
A consensual and non-ambiguous set of gestures to interact with UAVin infantrymen DOI : 10.1145/2702613.2702971
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2015
Is Symbolic Gestural Interaction Better for the Visual Attention? DOI : 10.1016/j.promfg.2015.07.172
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2015
Music Gestural Skills Development Engaging Teachers, Learners and Expert Performers DOI : 10.1016/j.promfg.2015.07.428
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2015
Gesture Recognition Using a Depth Camera for Human Robot Collaboration on Assembly Line DOI : 10.1016/j.promfg.2015.07.216
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2015
Modelling Gestural Know-how in Pottery Based on State-space Estimation and System Dynamic Simulation DOI : 10.1016/j.promfg.2015.07.883
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2014
Capturing the intangible: An introduction to the i-treasures project DOI : 10.5220/0004871607730781
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2014
Offline statistical analysis of gestural skills in pottery interaction DOI : 10.1145/2617995.2618029
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2014
Capture, modeling, and recognition of expert technical gestures in wheel-throwing art of pottery DOI : 10.1145/2627729
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2013
Vocal tract imaging system for post-laryngectomy voice replacement DOI : 10.1109/I2MTC.2013.6555501
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2012
Methodology for finger gesture control of mechatronic systems
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2011
Towards a practical silent speech interface based on vocal tract imaging
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2011
Intelligent invariance techniques for music gesture recognition based on skin modelling DOI : 10.1109/CINTI.2011.6108502
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2009
Computer vision method in music interaction DOI : 10.1109/MMEDIA.2009.34
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2009
Gesture recognition in music interaction via computer vision
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2008
Computer vision method for pianist's fingers information retrieval DOI : 10.1145/1497308.1497421
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2008
Using a greek LMS to enhance distributed Multimedia content to remote and mobile students
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2007
Evaluating Asynchronous and Synchronous Distance Learning platform in a high school
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2006
An open - Source learning management system (ASDL) using ICT for high schools
Teaching
Collaborative Robotics
The main objective of this course is to provide the basic knowledge needed to address the following topics: new applications of gesture recognition in artistic processes (creation, sensorimotor experiments, etc.) and industrial processes (ergonomics, collaborative robotics, etc.). the capture of human movement using sensors and the modeling of a specific gesture using statistical learning computer-assisted interaction in emerging artistic and industrial applications (gesture-based composition, gesture-based sound systems, sensorimotor learning of professional gestures, etc.) The course introduces various technological methods and paradigms related to human motion capture and appropriate sensors, as well as machine learning and deep learning methods and models for recognizing patterns of human behavior and their artistic and industrial applications
PhD supervision
- 2024 Dynamic neural rendering through egocentric robotic vision SU Sichen
- 2024 The impact of human factors on motor performance indicators: analysis and visualization ZENG Linghao
- 2024 AI-based interaction mechanism for augmented sensorimotor return strategies SICHLER Romaric
- 2023 Action recognition algorithms with applications in football games OCHIN Jérémie
- 2023 Multimodal gesture recognition for reactive collaborative robotics in the luxury industry PAPANAGIOTOU Dimitrios
- 2022 Exploration of multi-task learning and meta-learning for simultaneous and hierarchical recognition of activities, actions, and professional intentions SENTERI Gavriela
- 2022 Multi-agent simulation for decision support in an urban logistics context HEMDANE Nassim
- 2019 Deep state-space modeling for explainable representation, analysis, and prediction of human body dynamics in understanding dexterity and computational ergonomics. OLIVAS PADILLA Brenda
- 2018 Gesture recognition for human-robot collaboration EL KADDAOUI Salwa