Analysis of sensors for movement analysis
This work addresses the need for accurate movement sensors in medical and touchless control applications, but it appears incremental as it focuses on comparing existing sensors without introducing new methods.
The paper compared the accuracy of various movement sensors, including micro-chip gesture-ID, leap motion, noitom mocap, and custom sensors for tapping and foot motion, finding relevance in applications like tremor/Parkinson disease analysis and touchless device control, particularly to reduce contagion risk in COVID-19 scenarios.
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.