<?xml version="1.0" encoding="utf-8" standalone="yes"?><rss version="2.0" xmlns:atom="http://www.w3.org/2005/Atom"><channel><title>Hidden-State Understanding | Wenbo Zhang</title><link>https://wenbozhangcn.github.io/tags/hidden-state-understanding/</link><atom:link href="https://wenbozhangcn.github.io/tags/hidden-state-understanding/index.xml" rel="self" type="application/rss+xml"/><description>Hidden-State Understanding</description><generator>HugoBlox Kit (https://hugoblox.com)</generator><language>en-us</language><lastBuildDate>Sun, 10 May 2026 00:00:00 +0000</lastBuildDate><image><url>https://wenbozhangcn.github.io/media/sharing.jpg</url><title>Hidden-State Understanding</title><link>https://wenbozhangcn.github.io/tags/hidden-state-understanding/</link></image><item><title>Wearable Movement Understanding</title><link>https://wenbozhangcn.github.io/projects/wearable-movement-understanding/</link><pubDate>Sun, 10 May 2026 00:00:00 +0000</pubDate><guid>https://wenbozhangcn.github.io/projects/wearable-movement-understanding/</guid><description>&lt;p&gt;This project line studies how sparse wearable sensors can move from tracking observable body motion to inferring deeper biomechanical and physiological signals such as plantar pressure, ground reaction force, kinetics, muscle activation, and physical interaction.&lt;/p&gt;
&lt;p&gt;It connects systems including PressInPose, Motion2Press, KineticsSense, MuscleSense, HALO, and WatchForce into a coherent research route for everyday hidden-state understanding, mobile deployment, and closed-loop wearable feedback.&lt;/p&gt;</description></item></channel></rss>