SPECIAL SESSION #4
Measurement systems for human motion and activity analysis
ORGANIZED BY
Arianna Carnevale
University Hospital Foundation Bio-Medical Campus
Carlo Massaroni
University Campus Bio-Medico of Roma, Italy
ABSTRACT
Human motion and activity analysis play a crucial role in supporting the prevention, diagnosis, and monitoring of treatments, disease progression, and overall lifestyle, significantly impacting various fields such as healthcare, occupational, and sports science.
Motion capture systems, including wearable devices, marker-based and markerless technologies, enable the objective assessment of human motion and physiological parameters in several application fields. To ensure valid measurements and metrics evaluations, these measurement systems must meet metrological requirements, such as accuracy, reliability, repeatability, and reproducibility.
Robust and novel signal processing algorithms are essential in analyzing and interpreting data. Moreover, advanced computational models can be exploited to simulate, classify, evaluate, and predict human movement and activities as well as physiological parameters.
TOPICS
Paper submissions are welcome on (but not limited to) the following topics:
- Motion capture systems: wearables, marker-based, and markerless systems;
- Measurement systems for monitoring human motion and/or physiological parameters;
- Characterization and validation of measurement systems for monitoring human behaviour and physiological parameters;
- Signal processing algorithms for human motion and physiological parameters analysis;
- Applications in healthcare, sports science, and occupational fields.
ABOUT THE ORGANIZERS
Arianna Carnevale (Ph.D.) is a biomedical engineer at Fondazione Policlinico Universitario Campus Bio-Medico in Rome. Her research interests focus on the design, development, characterization, application, and performance evaluation of measurement systems (e.g., wearabls, virtual reality devices, stereophotogrammetry) for assessing human biomechanics in the orthopaedic field. She has been involved in several national and international projects. She is the author of several publications in peer-reviewed journals and conference proceedings on topics related to sensors and algorithms for human motion analysis, with a particular focus on the shoulder joint.
Dr. Carlo Massaroni received his BSc (2010) and MSc (2012) in Biomedical Engineering and Ph.D. in Bioengineering (2017) from Università Campus Bio-Medico di Roma (UCBM). Currently, he is Tenure-Track Assistant Professor at UCBM. His research interests are focused on the design, development, and tests of sensors, measuring systems and devices for mechanical and thermal measurements, with particular emphasis on the design of wearable and unobtrusive systems for the measurement of physiological and biomechanical parameters. He is principal investigator and WP leader in several ongoing national and international projects dealing with wearable and unobtrusive technologies for physiological monitoring and biomarkers estimations in the medical, occupational and sports fields. He is a Senior Member of the IEEE, and serve as Secretary in IEEE Sensors Council Italy Chapter. He is also Associate Member of the "Wearable Biomedical Sensors & Systems" TC of the IEEE EMB.