La Rosa D, Palumbo F, Ronca A, Sansone F, Tesconi M, Tonacci A, Conte R
Web bluetooth Smart shoe IoT health device
Recent advances in sensing, processing, and learning of physiological parameters, make the development of non-invasive health monitoring systems increasingly effective, especially in those situations that need particular attention to the usability of devices and software solutions due to the frailty of the target population. In this context, we developed a sensorized shoe that detects significant features in subjects' gait and monitors variations related to an intervention protocol in people affected by Neuromuscular Disorders (NMDs). This paper outlines the challenges in the field and summarizes the approach used to overcome the technological barriers related to connectivity, deployment, and usability that are typical in a medical setting. The proposed solution adopts the new paradigm offered by Web Bluetooth based on Bluetooth WebSocket. We show the architectural and deployment choices and how this solution can be easily adapted to different devices and scenarios.
Source: LECTURE NOTES OF THE INSTITUTE FOR COMPUTER SCIENCES, SOCIAL INFORMATICS AND TELECOMMUNICATIONS ENGINEERING (INTERNET), pp. 104-115. Thessaloniki, Greece, 12-14/12/2022
@inproceedings{oai:it.cnr:prodotti:483044, title = {IoT smart shoe solution for neuromuscular disease monitoring}, author = {La Rosa D and Palumbo F and Ronca A and Sansone F and Tesconi M and Tonacci A and Conte R}, booktitle = {LECTURE NOTES OF THE INSTITUTE FOR COMPUTER SCIENCES, SOCIAL INFORMATICS AND TELECOMMUNICATIONS ENGINEERING (INTERNET), pp. 104-115. Thessaloniki, Greece, 12-14/12/2022}, year = {2023} }