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POSTER: IoT and Humanoid Robotics for Next Generation Motor Rehabilitation Systems

Stefano Borgo, Marco Di Felice, Alfonso Esposito, Valeria Seidita, Giulia Spaletta, Roberto Toni, Ivan Zyrianoff

Year
2024
Citations
5

Abstract

The recent Covid-19 pandemic has highlighted the pressure on healthcare infrastructure, emphasizing the necessity for more tailored and sustainable healthcare systems that exploit the potential of emerging technologies such as robotics and the Internet of Things (IoT). In this paper, we delve into this potential by presenting I-TROPHYTS, an innovative framework designed for the real-time and semi-autonomous supervision of motor rehabilitation activities in indoor settings. I-TROPHYTS introduces a visionary approach that leverages humanoid robotics to mimic the actions of physiotherapists. This robotic system dynamically adjusts motor rehabilitation routines based on real-time performance and vital signs of groups of patients, which are monitored through wearable IoT devices. The paper introduces the I-TROPHYTS framework architecture along with its essential components. Furthermore, it elaborates on the implementation of the IoT monitoring infrastructure through the Bluetooh Mesh technology.

Keywords

Humanoid robotComputer scienceRoboticsArtificial intelligenceRehabilitation roboticsRehabilitationInternet of ThingsHuman–computer interactionControl engineeringEmbedded system

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