<?xml version="1.0" encoding="utf-8" standalone="yes"?><rss version="2.0" xmlns:atom="http://www.w3.org/2005/Atom"><channel><title>Real-Time Feedback | Wenbo Zhang</title><link>https://wenbozhangcn.github.io/tags/real-time-feedback/</link><atom:link href="https://wenbozhangcn.github.io/tags/real-time-feedback/index.xml" rel="self" type="application/rss+xml"/><description>Real-Time Feedback</description><generator>HugoBlox Kit (https://hugoblox.com)</generator><language>en-us</language><lastBuildDate>Mon, 01 Jun 2026 00:00:00 +0000</lastBuildDate><image><url>https://wenbozhangcn.github.io/media/sharing.jpg</url><title>Real-Time Feedback</title><link>https://wenbozhangcn.github.io/tags/real-time-feedback/</link></image><item><title>MuscleSense: Making Muscle Effort Audible for Eyes-Free In-the-Loop Regulation</title><link>https://wenbozhangcn.github.io/publications/musclesense/</link><pubDate>Mon, 01 Jun 2026 00:00:00 +0000</pubDate><guid>https://wenbozhangcn.github.io/publications/musclesense/</guid><description>&lt;p&gt;MuscleSense explores how wearable physiological sensing can turn muscle effort into actionable, eyes-free feedback for movement awareness, training, and rehabilitation. It emphasizes feedback-oriented state inference, mobile deployment, and closed-loop user regulation during lower-limb exercise.&lt;/p&gt;</description></item></channel></rss>