Analysis of sensors for movement analysis

TL;DR

This paper compares various movement sensors to evaluate their accuracy for applications like tremor analysis and touchless device control, highlighting their relevance in health monitoring and pandemic-related scenarios.

Contribution

It provides a comparative analysis of different sensors for movement detection, including custom sensors for tapping and foot motion, emphasizing their potential in health and touchless control applications.

Findings

Leap Motion shows high accuracy in hand movement detection

Custom sensors effectively analyze tapping and foot motion

Sensors enable touchless device activation reducing contamination risk

Abstract

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.