Laura Sbernini

TL;DR: A comprehensive survey of resistive flex sensors, taking into account their working principles, manufacturing aspects, electrical characteristics and equivalent models, utilizing front-end conditioning circuitry, and physic-bio-chemical aspects, is provided in this paper.

TL;DR: This paper provides a review of the usage of SVM in the determination of brain and muscle patterns for HCI, by focusing on electroencephalography (EEG) and electromyography (EMG) techniques.

TL;DR: The proposed methodology for the optimization of surface EMG (sEMG)-based hand gesture classification is effective to implement a human–computer interaction device for both healthy subjects and transradial amputees and shows that RMS-WA/ANN is the best feature vector/classifier pair for the PCA approach.

TL;DR: This paper proposes a system designed to track surgeons’ hand movements during simulated open surgery tasks and to evaluate their manual expertise, and shows Artificial neural networks showed the best performance.

TL;DR: This initial experience confirmed the validity and reliability of the proposed system in objectively assessing surgeons' technical skill, thus paving the way to a more complex project involving open surgery simulation.