Here’s a brand-new event collaboratively organized by the IEEE Student Branches of Politecnico di Torino (PoliTo) and Università Campus Bio-Medico (UCBM) of Rome.
Bio-sPitch.D was conceived after the reciprocal recognition of similar events organized by the two branches, where PhD students of these universities discuss their research to share their knowledge with other IEEE members, eventually improving networking. The UCBM Branch of Rome organizes the sPeach.D., while the PoliTo branch organizes the PitchD.
Therefore, we decided to co-organize a brand-new event, named IEEE Bio-sPitch.D., where Andrea (PoliTo) and Joshua (UCBM) will talk about their bio-related PhD research topics.
Joshua Di Tocco (Università Campus Bio-Medico) will present a talk entitled: “Smart textiles for respiratory rate and joint monitoring.”
Wearable systems are gaining large interest in applications related to the monitoring of physiological parameters. Among these, Heart Rate (HR), Respiratory Rate (RR) and physical activity (AT) are the most used. Wearable systems for monitoring physiological parameters find their use in sports and in clinical purposes. In the former, these systems help to improve the athlete’s performance and to prevent injuries, in the latter, they help to provide a quantitative measure of the patient’s improvements with the provided tratments. Among all techologies, the present talk will be focusing on strain sensors, in particular, piezoresistive sensors used to instrument wearable systems for respiratory rate and joint monitoring. The entire process, from manufacturing to their integration into wearable systems, will be described. Also, some preliminary tests will be presented to show the performances of these systems in different scenarios.
Andrea Mongardi (Politecnico di Torino) will present a talk entitled “A bio-inspired embedded system for sEMG-based gesture recognition.”
Nowadays the tech market is becoming day by day more competitive. Continuous technology improvements regarding power consumption and product area have led embedded systems to a new era. In the biomedical field, this phenomenon brought a vertiginous increase of wearable devices production and research, focusing on the development of small products with long battery life. In this scenario, surface ElectroMyoGraphy (sEMG) plays a main role on gesture recognition applications. In particular, in this talk I will present you an embedded system, which integrates a fully-connected Artificial Neural Network (ANN) to recognize up to six hand gestures, based on only three input features. These features are obtained thanks to an event-driven feature extraction technique, named Average Threshold Crossing (ATC), implemented to relax the computational effort of the microcontroler, as well as its power consumption
– Date: 16 December 2020 – 5.30 PM
– Location: YouTube
The event will be the first opportunity for us to improve the collaboration and networking among italian IEEE Student Branches. Join us to listen to their pitches and to meet the members of the other student branch. The event will be streamed on the Politecnico di Torino IEEE Student Branch YouTube channel!
The event will be supported by:
– IEEE Women in Engineering Politecnico di Torino
– IEEE Italy Section
– IEEE Engineering in Medicine and Biology (EMB) Italy Chapter
– IEEE Sensors Council Italy Chapter
– IEEE youngprofessional Affinity Group Italy