Giuseppe Sanseverino
Mechanical Engineer, PhD
Research Associate & Lecturer at TU Chemnitz
About me
I am currently a Post Doctoral Research Associate and Lecturer at the Professorship for Human and Technology at Chemnitz University of Technology, Germany, where I also completed my PhD in mechanical engineering in August 2024.From June 2020 to June 2024, I worked as a Research Associate at the Department of Sports Equipment and Technology at Chemnitz University of Technology, and I have been a member of the DFG (German Research Foundation) funded Collaborative Research Center (CRC) Hybrid Societies. I also served on the Executive Board of the CRC as the PhD student representative from November 2021 to June 2024.Since 2020, I have been a member of the International Sports Engineering Association (ISEA), and since November 2022, I have been an elected member of the ISEA Executive Committee and Chair of the Outreach Committee. Additionally, I am a member of IEEE and the Associazione Nazionale Disegno e Metodi dell'Ingegneria Industriale (ADM).I earned both my Bachelor's and Master's degrees in Mechanical Engineering from the University of Naples Federico II. In 2019, through the European-funded Erasmus Traineeship program, I joined Chemnitz University of Technology to complete my traineeship and Master's thesis. In 2021, I was a Visiting Research Fellow at the Fraunhofer Joint Lab IDEAS at the University of Naples Federico II, where I conducted research in motion tracking and ergonomics, contributing to the development of an automatic tool for assessing manual dexterity tests.As an active author and reviewer, I contribute to the Sports Engineering journal, the International Journal on Interactive Design and Manufacturing, and other journals and international conferences. I serve as a topic coordinator on the editorial board of the special issue Advancements in Cycling Performance Enhancement Strategies for Cyclists: From Amateurs to Elite, published by Frontiers in Sports and Active Living. Additionally, I co-organized the 1st international Conference on Hybrid Societies and co-edited its proceedings. I am Finance Chair and member of the Local Organizing Committee of Mensch und Computer 2025 Conference.
RESEARCH
My work focuses on tracking human body movements and postures, as well as analysing related physiological parameters. My research specializes in both video-based and wearable sensor-based methodologies.I have contributed to the development of novel Body-Attached Sensor Networks (BASNs) for recognizing hand gestures. For my doctoral dissertation, I propose a framework for virtual testing of BASNs, which eliminates the need for expensive and time-consuming preliminary user studies typically required for their design. This framework includes a virtual model of the human upper limb, created through multibody modelling, capable of simulating human gestures. The framework is further enhanced with models of IMUs and a custom machine learning algorithm for feature selection, enabling the virtual optimization of IMU-based sensor networks.In the field of sports engineering, my research focuses on wearable sensor networks for sports performance monitoring and human vibrations, with a particular emphasis on cycling vibrations induced by road profiles. I have conducted both field and laboratory tests to measure the extent of hand-arm vibrations and assess the effectiveness of cycling gloves in attenuating these vibrations. My master's thesis, "Towards Innovative Road Cycle Gloves for Low Vibration Transmission," laid the foundation for developing novel cycling gloves designed to reduce hand-arm vibrations.
AWARDS
The contribution "Understanding the Capabilities of FMG and EMG Sensors in Recognizing Basic Gesture Components" presented at the 1st International Conference on Hybrid Societies 2023 was awarded with the best paper award.
My master thesis "Towards innovative road cycle gloves for low vibration transmission" was awarded with the 1st prize of "Premio ADM 2021". I also achieved the 3rd prize in the ISEA Student Project Competition 2020 realizing an infographic that summarized my master thesis work.
PUBLICATIONS
2024
Sanseverino, G. (2024)
A methodological framework for virtual testing of IMU-based body-attached sensor networks for gesture recognition. Dissertation.
URL: https://nbn-resolving.org/urn:nbn:de:bsz:ch1-qucosa2-938481Sanseverino, G., Schwanitz, S., Odenwald, S. (2024) Vibrations in cycling, state of the art and future outlook. In: Mears, A., Forrester, S., Fleming, P., et al. (eds) ISEA 2024: The Engineering of Sport 15, Loughborough UK 8-11 July 2024: Conference Proceedings, pp 60-61. Loughborough University.
Available at: Loughborough University repositoryCaporaso, T., Sanseverino, G., Buder, J., Schwanitz, S., Cassinese, A., Lanzotti, A., Odenwald, S. (2024). A sensor-based test methodology to investigate the effect of vibrations on the cyclist. In: Mears, A., Forrester, S., Fleming, P., et al. (eds) ISEA 2024: The Engineering of Sport 15, Loughborough UK 8-11 July 2024: Conference Proceedings, pp 326-327. Loughborough University.
Available at: Loughborough University repositorySanseverino, G., Genua, A., Krumm, D., Odenwald, S. (2024). Inverse Kinematics to Simulate Sport Movements in Virtual Environment. In: Carfagni, M., Furferi, R., Di Stefano, P., et al. (eds) Design Tools and Methods in Industrial Engineering III. ADM 2023. Lecture Notes in Mechanical Engineering. Springer, Cham.
DOI: 10.1007/978-3-031-58094-9_15Rega, A., Genua, A, Vitolo, F., Patalano, S., Sanseverino, G., Penter, L., Arnold, F., Ihlenfeldt, S., Lanzotti, A. (2024). Toward a Framework for Virtual Testing of Complex Machine Tools. In: Carfagni, M., Furferi, R., Di Stefano, P., et al. (eds) Design Tools and Methods in Industrial Engineering III. ADM 2023. Lecture Notes in Mechanical Engineering. Springer, Cham.
DOI: 10.1007/978-3-031-52075-4_60
2023
Meyer, B., Sanseverino, G. (Editors) (2023). Proceedings of the
1st International Conference on Hybrid Societies 2023.
Universitätsverlag Chemnitz, Chemnitz
ISBN: 978-3-96100-192-7
URL: https://nbn-resolving.org/urn:nbn:de:bsz:ch1-qucosa2-864633Buder, J., Sanseverino, G., Odenwald, S., Schwanitz, S. (2023). A laboratory treadmill for simulation of road surface induced vibrations in cycling. Journal of Science and Cycling, 12(2), 14-17.
URL: https://www.jsc-journal.com/index.php/JSC/article/view/843Sanseverino, G., Rothermel, M., Odenwald, S. (2023) A Wearable Sensor Network for Cyclists Safety in Mixed Traffic, a Pilot Study. IEEE International Workshop on Metrology for Industry 4.0 & IoT (MetroInd4.0&IoT), Brescia, Italy, 2023, pp. 217-221, DOI: 10.1109/MetroInd4.0IoT57462.2023.10180150Sanseverino, G., Krumm, D., Kilian, W., Odenwald, S. (2023)
Estimation of hike events and temporal parameters with body-attached sensors. Sports Engineering 26, 18 (2023).
DOI: 10.1007/s12283-023-00411-xSanseverino, G., Krumm, D., Kopnarski, L., Rudisch, J.,
Voelcker-Rehage, C., Odenwald, S. (2023)
Preliminary Validation of a Virtual Environment for Simulation and Recognition of Human Gestures. In: Gerbino S., Lanzotti A., Martorelli M., Mirálbes Buil R., Rizzi C., Roucoules L. (eds) Advances on Mechanics, Design Engineering and Manufacturing IV. JCM 2022. Lecture Notes in Mechanical Engineering. Springer, Cham.
DOI: 10.1007/978-3-031-15928-2_53Caporaso, T., Sanseverino, G. et al. (2023)
Automatic Outcomes in Minnesota Dexterity Test Using a System of Multiple Depth Cameras. In: Gerbino S., Lanzotti A., Martorelli M., Mirálbes Buil R., Rizzi C., Roucoules L. (eds) Advances on Mechanics, Design Engineering and Manufacturing IV. JCM 2022. Lecture Notes in Mechanical Engineering. Springer, Cham. DOI: 10.1007/978-3-031-15928-2_25
2022
Sanseverino, G., Krumm, D., Kilian, W., Odenwald, S. (2022)
Wearable Sensor Nodes for Automatic Detection of Hike Events and Parameters: A Pilot Study. In Proceedings of ISEA 2022 – The Engineering of Sport 14, Purdue University, 6-10 June 2022.
DOI: 10.5703/1288284317538Krumm, D., Zenner, A., Sanseverino, G., Odenwald, S. (2022)
Recognition of Basic Gesture Components using Body-Attached Bending Sensors.
In: Spink A., Barski J., Brouwer A.-M., Riedel G., Sil A. (eds) Proceedings of the joint 12th International Conference on Methods and Techniques in Behavioral Research and 6th Seminar on Behavioral Methods, online May 18-22 2022, vol. 2, pp. 83-88.
DOI: 10.6084/m9.figshare.20066849Sanseverino, G., Krumm, D., Odenwald, S. (2022)
A Framework for Virtual Evaluation of Body-Attached Sensor Networks.
In: Rizzi C., Campana F., Bici M., Gherardini F., Ingrassia T., Cicconi P. (eds) Design Tools and Methods in Industrial Engineering II. ADM 2021. Lecture Notes in Mechanical Engineering. Springer, Cham.
DOI: 10.1007/978-3-030-91234-5_56
2021
Ramalingame, R., Barioul, R., Li, X., Sanseverino, G., Krumm, D., Odenwald, S.,
Kanoun, O. (2021)
Wearable Smart Band for American Sign Language Recognition With Polymer Carbon Nanocomposite-Based Pressure Sensors.
IEEE Sensors Letters, vol. 5, no. 6, pp. 1-4.
DOI: 10.1109/LSENS.2021.3081689Sanseverino, G., Schwanitz, S., Krumm, D., Odenwald, S., Lanzotti, A. (2021)
Towards innovative road cycle gloves for low vibration transmission.
International Journal on Interactive Design and Manufacturing (IJIDeM), vol. 15, n. 1, pp. 155–158.
DOI: 10.1007/s12008-020-00748-8
2020
Sanseverino, G. (2020)
Design Process of Innovative Cycling Gloves Infographic realised for the ISEA 2020 Student Project Competition and awarded with third prize.
DOI: 10.13140/RG.2.2.33411.73761Sanseverino, G., Schwanitz, S., Krumm, D., Odenwald, S., Lanzotti, A. (2020) Understanding the effect of tire pressure and speed on vibrations transmission to the handlebar in road cycling. In: Fehr, U. (ed.) Zukunftsperspektiven von Sportinformatik & Sporttech-nologie im Leistungs und Breitensport. 13. Symposium der dvs-Sektion Sportinformatik und Sporttechnologie.
Spinfortec2020 digital, pp. 36–37.
DOI: 10.15495/EPubUBT00005003Sanseverino, G., Schwanitz, S., Krumm, D., Odenwald, S., Lanzotti, A. (2020)
Understanding the Effect of Gloves on Hand-Arm Vibrations in Road Cycling. Proceedings 2020, vol. 49, n. 1.
DOI: 10.3390/proceedings2020049070
DATA & CODE
Krumm D., Sanseverino G., Odenwald S. (2022)
Plantar pressure and inertial data of a 7.5 km hike.
This dataset contains data from a male person (age 37 years, height 1.80 m, body mass 71 kg) who voluntarily undertook a 7.5 km hike in a flat urban area with a total slope of 50 m and moderate traffic while wearing two body-attached sensor networks (BASN) to collect plantar pressure data and inertial data (accelerations and angular velocities). The two BASN consisted of a small, lightweight and portable sensor node and a pair of pressure insoles.
DOI: 10.17605/OSF.IO/63HJS