動作解析用センサの比較評価
Analysis of sensors for movement analysis
ジェスチャーID、Leap Motion、Noitomモーションキャプチャ、独自開発のタッピング・足動作センサの測定精度を比較し、パーキンソン病の振戦解析や非接触デバイス操作への応用可能性を検討した。
著者: Marcos Faundez-Zanuy, Anna Faura-Pujol, Hector Montalvo-Ruiz, Alexia Losada-Fors, Pablo Genovese, Pilar Sanz-Cartagena
分類: eess.SP, cs.LG, cs.RO
原文アブストラクト
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.