We aim at providing an integrated platform that enables real-time human health monitoring in terms of motion tracking, articular stress monitoring, and fatigue analysis.
Based on our extensive and in depth research analysis we developed ground breaking technology.
The combination of iFeel wearable devices and the power of iFeel algorithms gave birth to a stunning new technology: whole-body wearable technology for real-time fatigue analysis to prevent human musculoskeletal diseases by enhancing ergonomic user experience.
Think of a suit equipped with iFeel wearable devices, sensorized shoes and flexible . The output is transferred to the iFeel AI algorithm, which is able to:
We carried out a deep research in diverse fields such as industry and it came to light that the only monitoring tool consisted of a manual and visual inspection at an industrial site. This process has been used for more than 200 years and results are not effective since a visual inspection is only the tip of the iceberg. Try to think about the huge amount of economic resources spent on (MSDs) treatment and just imagine what would happen, thanks to our technology, we were able to prevent human fatigue and bring about immediate action.
The lack of quantitative analysis is not only common in the industrial field, but also in the rehabilitation process in case of gait disorders and prosthesis implementation. The rehabilitation process expects the patient to refer to a rehabilitation center where monitoring takes place. However, those centers are costly and not easily nor always accessible. Notwithstanding these issues, a quantitative and continuous monitoring is still missing. What if we were able to provide patients and rehabilitation professionals with a and easy-to-use technology? And what if this new technology was able to continuously monitor the changes in their rehabilitation process and optimize it based on their needs? In this way the rehabilitation process can be completely tailored on the patient’s needs.
Our founding team is a group of professionals with diverse backgrounds in research and development both in industry and academia. We strongly believe that our team is not only the sum of single skills but a real integration. We are a multi-cultural, multilingual and team and we all share a passion for technological development and innovation focused on the being.
Yeshasvi Tirupachuri is a Postdoctoral researcher at the Dynamic Interaction Control group of the Italian Institute of Technology, Genoa, Italy. He has over 6 years of experience in development and integration of sophisticated solutions for complex cyber physical systems. He received a PhD degree in Humanoid Robotics from University of Genoa, Italy and the Italian Institute of Technology, Genoa, Italy. His doctoral research is focused on developing enabling technologies for Human-Robot Collaboration. He holds a double degree Master's in Advanced Robotics from Ecole Centrale de Nantes, France and Robotics Engineering from University of Genoa, Italy, and Bachelor's degree in Electrical and Electronics Engineering from Pondicherry University, India.
Kourosh Darvish is a postdoc researcher at the Italian Institute of Technology (IIT). His research interests include human-robot collaboration, telexistence, task representation, and robot motion planning and control. He received his B.Sc. and M.Sc. degrees in Aerospace Engineering from K.N. Toosi University of Technology and Sharif University of Technology, Tehran, Iran. He obtained his PhD in Bioengineering and Robotics from the University of Genoa, Italy in 2019. So far, he has published several international journal and conference papers. During his postdoc research at IIT, he has contributed to the EU H2020 AnDy and EU H2020 SoftManBot projects on human-robot collaboration.
Enrico Valli received the MSc degree in electronic engineering from the University of Bologna with a research thesis on System-on-Chip developed at the University of Southampton. In 2008, he joined the European Space Research and Technology Centre (ESA - ESTEC), where he worked for a decade in the area of electrical design and spacecraft test support. He is currently working at the Istituto Italiano di Tecnologia, where he is involved in the development of a wearable wireless sensors network.
Claudia Latella received her BEng in Biomedical Engineering and MEng in Bioengineering at the University of Genova (Italy). After a working period, she came back to the academic environment starting her Ph.D in November 2014 at the Italian Institute of Technology where she obtained the Ph.D title in March 2018 with a thesis focussed on simultaneous multimodal sensor fusion for motion and force capture estimation for human movements. Since then, she is a Post Doc researcher in the Dynamic Interaction Control lab, at IIT.