2 papers
cs.LG2026
IFRA: a machine learning-based Instrumented Fall Risk Assessment Scale derived from Instrumented Timed Up and Go test in stroke patients
Simone Macciò, Alessandro Carfì, Alessio Capitanelli +4
Background/Objectives: Falls represent a major health concern for stroke survivors, necessitating effective risk assessment tools. This study proposes the Instrumented Fall Risk As…
cs.HC2024
Augmented reality for upper limb rehabilitation: real-time kinematic feedback with HoloLens 2
Beatrice Luciani, Alessandra Pedrocchi, Peppino Tropea +3
Exoskeletons for rehabilitation can help enhance motor recovery in individuals suffering from neurological disorders. Precision in movement execution, especially in arm rehabilitat…