
Electromyography (EMG) and 3D Motion Capture are two technologies widely utilised in sport science research settings. However, despite their potential, they remain underutilised in applied sporting environments due to perceived barriers such as complexity, uncertainty about data interpretation, and misconceptions around their practicality in real-world settings. This user group meeting aims to bridge the gap between laboratory research, where this technology has had extensive application, and applied practice. We will be showcasing how cutting edge, automated technologies and simple, reliable protocols can generate high-quality data that directly informs athlete monitoring for performance enhancement and rehabilitation.
| Time | Topic |
|---|---|
| 09:00 - 09:30 | Welcome and Introduction (networking) |
| 09:30 - 10:15 | Technology Overview (Qualisys, Delsys Europe, Invited Experts) |
| 10:15 - 10:30 | Break |
| 10:30 - 12:30 | Data Collection Rotation 01 (Qualisys Motion Capture OR Delsys EMG) |
| 12:30 - 13:30 | Lunch |
| 13:30 - 15:30 | Data Collection Rotation 02 (Qualisys Motion Capture OR Delsys EMG) |
| 15:30 - 15:45 | Break |
| 15:45 - 16:15 | Results Discussion |
| 16:30 - 17: 00 | User Forum and Event Closing |
Lorenzo Sabattini received the B.Sc. and M.Sc. degrees in mechatronic engineering from the University of Modena and Reggio Emilia, Italy, in 2005 and 2007, respectively, and the Ph.D. degree in control systems and operational research from the University of Bologna, Italy, in 2012. In 2010, he was a Visiting Researcher with the University of Maryland, College Park, MD, USA. He has been an Associate Professor with the Department of Sciences and Methods for Engineering, University of Modena and Reggio Emilia, since 2018. His research interests include multirobot systems, decentralized estimation and control, and mobile robotics. He was the Founding Co-Chair of the IEEE RAS Technical Committee on Multi-Robot Systems and served as the corresponding co-chair from 2014 to 2021. He served as an Associate Editor for IEEE Robotics and Automation Letters from 2015 to 2018 and IEEE Robotics and Automation Magazine from 2017 to 2019. He has also served as an Editor for IEEE ICRA and IEEE/RSJ IROS conferences and as an Associate Editor for The International Journal of Robotics Research (IJRR).
Valeria Villani is Associate Professor at the Department of Sciences and Methods for Engineering of the University of Modena and Reggio Emilia. Her research interests focus on the design of human-centred user interfaces for efficient cooperation between humans and industrial machines or robots and biomedical signal processing for robot control and affective human-robot interaction. She received her B.Sc. and M.Sc. in Biomedical Engineering from the University Campus Bio-Medico of Rome in 2006 and 2009, respectively, and her Ph.D. in Biomedical Engineering from the University Campus Bio Medico of Rome in 2013, focusing on biomedical signal processing, with emphasis on ECG signals. She was the recipient of the Best Paper Award at ISABEL 2011 and the Mortara Fellowship at CinC 2014. She is Co-Chair of the RAS Technical Committee on Digital Manufacturing and Human-Centred Automation and Vice-Presidents of the IEEE Italy RAS Chapter. She has served as Associate Editor for IEEE ICRA since 2018 and is Senior Editor for IEEE Transactions on Automation Science and Engineering.
Dr. Oluwarotimi W. Samuel is a Senior Lecturer and Lead of the Digital Rehabilitation and Immersive Technologies Research Group at the University of Derby, UK. His research focuses on the design, development, and validation of intelligent systems, integrating machine learning and signal processing to advance applications in robotics, assistive technologies, diagnostics, and decision support systems.
Dr. Samuel earned his PhD in Pattern Recognition and Intelligent Systems from the University of Chinese Academy of Sciences (UCAS), Beijing, under the prestigious CAS-TWAS President’s Fellowship. Before joining the University of Derby, he served as an Associate Professor at the Shenzhen Institutes of Advanced Technology (SIAT), Chinese Academy of Sciences (CAS), and as an Adjunct Faculty Member at Dongguan University of Technology, China.
He has led multiple nationally and internationally funded research projects and published over 80 peer-reviewed articles, which have collectively attracted more than 4,850 citations. His contributions have earned him recognition among the Top 2% of Scientists Globally, as well as several distinctions, including IEEE Best Paper Awards, the IEEE Young Investigator Award, and a Merit Award for Youth Innovation Projects. His work was also nominated for the STEM for Britain Award, leading to the presentation of his research at the House of Commons before British Members of Parliament. In addition, he has contributed to global and national AI-driven agendas, including the United Nations STI4SDGs framework and the Nigeria’s National AI Strategy and Policy.
Dr. Samuel has held Visiting Research Fellowships at Sapienza University of Rome (Italy), SIAT-CAS (China), and INTI International University (Malaysia). Beyond his research, he is deeply committed to scientific collaboration and leadership. He is a Member of the Global Young Academy (GYA), an Associate Editor of Frontiers in Big Data, and an Advisory Board Member of the ELSP International Open Science Platform. He has also served as Chair, Co-Chair, and Technical Programme Committee Member for various IEEE international conferences, and as a Distinguished Speaker at events organised by the United Nations (UN) and the European Commission (EC)
Silvia Buscaglione received the B.S., M.S., and Ph.D. degrees in Biomedical Engineering from Università Campus Bio-Medico di Roma, Italy, in 2016, 2019, and 2024, respectively. From 2022 to 2024, she was a Visiting Student with the Neurorobotics Group at Newcastle University, U.K. She is currently a Postdoctoral Researcher with the Action Lab at Northeastern University, Boston, MA.
Her research focuses on the use of robotic and mechatronic systems to study human motor control during physical interaction tasks and on leveraging this knowledge to enhance human-robot interaction. Her broader interests include neuroscience and neurorehabilitation interventions.
Roberto Meattini is a Junior Assistant Professor at the Department of Electrical, Electronic and Information Engineering “Guglielmo Marconi” (DEI) at the University of Bologna, where he also earned his PhD in Biomedical, Electrical and System Engineering. His research focuses on robotic manipulation, telemanipulation, human-robot interaction, electromyographic (EMG) interfaces, and collaborative robotics. He has been involved in European research projects such as REMODEL, IntelliMan, and SUPERHUMAN, with a focus on intuitive robot control, human-in-the-loop systems, and assistive robotics. His work aims to enable more natural and advanced forms of human-robot collaboration.