Corso di Dottorato “From Modeling to Implementation of Wearable Computing Systems based on Body Sensor Networks” Dr. Raffaele Gravina – Inizio 07.06.2021


Wearable computing is a relatively new area of research and development that aims at supporting people in different application domains: healthcare, active & assisted living, fitness & sport, social interactions (multi-user activity recognition and body language recognition), entertainment (enabling joystick-less interactions), factory (monitoring safety of workers in their activity), etc. Wearable computing systems employs devices such as wearable sensor nodes (e.g., to measure heart rate, temperature, blood oxygen, etc), common smart accessories (e.g. smartwatch, smart glasses, etc), and smartphones/PDA. Wearable computing has been recently boosted by the introduction of body sensor networks (BSNs), i.e. networks of wireless wearable sensor nodes coordinated by more capable coordinators (smartphones, tablets, PCs). Although the basic elements (sensors, protocols, coordinators) of a BSN are available (already from a commercial point of view), developing BSN systems/applications is a complex task that requires design methods based on effective and efficient programming frameworks. In this course, we will introduce programming approaches and methods to effectively develop (model, implement and deploy) efficient BSN systems/applications. Moreover, we will also discuss the integration of wearable computing systems with Edge and Cloud computing as well as with the Internet of Things ecosystem as a whole.

From the practical viewpoint, the course exploits the experience gained in the context of SPINE Body-of-Knowledge (SPINE-BoK – Specifically, the course will introduce the main design and development approaches defined by the SPINE open-source BSN programming framework (


Raffaele Gravina is senior Assistant Professor of Computer Engineering at the Dept. of Informatics, Modeling, Electronics, and Systems of the University of Calabria (Unical), Italy. He received a Ph.D. in Computer and Systems Engineering from Unical, in 2012. His research interests include wireless body sensor networks, smart-Health, and IoT technology. He is author of over 90 papers in int’l journals, conferences and books. He is cofounder and CTO healthcare sector of SenSysCal S.r.l., a Unical spin-off focused on innovative IoT systems.


Monday June 7, 2021                     15.00 – 18.00

Tuesday June 8, 2021                     10.30 – 13.30

Thursday June 10, 2021                 15.00 – 18.00

Friday June 11, 2021                       10.30 – 13.30

Link to the Course on MS Teams:

(code: yq50ren)