<?xml version="1.0" encoding="utf-8" standalone="yes"?><rss version="2.0" xmlns:atom="http://www.w3.org/2005/Atom"><channel><title>IMU on ION Solutions</title><link>https://ion-solutions.at/en/tags/imu/</link><description>Recent content in IMU on ION Solutions</description><generator>Hugo</generator><language>en</language><lastBuildDate>Wed, 10 Dec 2025 00:00:00 +0000</lastBuildDate><atom:link href="https://ion-solutions.at/en/tags/imu/index.xml" rel="self" type="application/rss+xml"/><item><title>Biomechanical Motion Analysis: From Camera to Data Model</title><link>https://ion-solutions.at/en/blog/biomechanical-motion-analysis/</link><pubDate>Wed, 10 Dec 2025 00:00:00 +0000</pubDate><guid>https://ion-solutions.at/en/blog/biomechanical-motion-analysis/</guid><description>&lt;h2 id="traditional-vs-modern-motion-capture"&gt;Traditional vs. Modern Motion Capture&lt;/h2&gt;
&lt;p&gt;The analysis of human movement has a long history. As early as the late 19th century, Eadweard Muybridge used serial photography to decompose a horse&amp;rsquo;s gallop. Modern biomechanics built on that foundation — with optical motion capture systems that track reflective markers placed at defined body points.&lt;/p&gt;
&lt;p&gt;Systems like &lt;strong&gt;Vicon&lt;/strong&gt; or &lt;strong&gt;OptiTrack&lt;/strong&gt; deliver sub-millimeter-accurate 3D data at sampling rates of 200 Hz and above. They are the gold standard in research. But they come with significant limitations:&lt;/p&gt;</description></item></channel></rss>