In this paper we analyze and compare different movement sensors: micro-chip gesture-ID, leap motion, noitom mocap, and specially developed sensor for tapping and foot motion analysis. The main goal is to evaluate the accu-racy of measurements provided by the sensors. This study presents rele-vance, for instance, in tremor/Parkinson disease analysis as well as no touch mechanisms for activation and control of devices. This scenario is especially interesting in COVID-19 scenario. Removing the need to touch a surface, the risk of contagion is reduced.
@article{arxiv.2408.07281,
title = {Analysis of sensors for movement analysis},
author = {Marcos Faundez-Zanuy and Anna Faura-Pujol and Hector Montalvo-Ruiz and Alexia Losada-Fors and Pablo Genovese and Pilar Sanz-Cartagena},
journal= {arXiv preprint arXiv:2408.07281},
year = {2024}
}
Comments
In: Esposito, A., Faundez-Zanuy, M., Morabito, F.C., Pasero, E. (eds) Applications of Artificial Intelligence and Neural Systems to Data Science. Smart Innovation, Systems and Technologies, vol 360. Springer, Singapore