Analysis of sensors for movement analysis

Autor:	Faundez-Zanuy, Marcos, Faura-Pujol, Anna, Montalvo-Ruiz, Hector, Losada-Fors, Alexia, Genovese, Pablo, Sanz-Cartagena, Pilar
Rok vydání:	2024
Předmět:	Electrical Engineering and Systems Science - Signal Processing Computer Science - Machine Learning Computer Science - Robotics
Zdroj:	Applications of Artificial Intelligence and Neural Systems to Data Science. Smart Innovation, Systems and Technologies, vol 360. Springer 02 August 2023
Druh dokumentu:	Working Paper
DOI:	10.1007/978-981-99-3592-5_4
Popis:	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. Comment: 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
Databáze:	arXiv
Externí odkaz:	http://arxiv.org/abs/2408.07281 Zobrazit plný text záznamu View this record from Arxiv