<?xml version="1.0" encoding="utf-8" standalone="yes"?><rss version="2.0" xmlns:atom="http://www.w3.org/2005/Atom"><channel><title>Mobile Health | Wenbo Zhang</title><link>https://wenbozhangcn.github.io/tags/mobile-health/</link><atom:link href="https://wenbozhangcn.github.io/tags/mobile-health/index.xml" rel="self" type="application/rss+xml"/><description>Mobile Health</description><generator>HugoBlox Kit (https://hugoblox.com)</generator><language>en-us</language><lastBuildDate>Wed, 01 Jul 2026 00:00:00 +0000</lastBuildDate><image><url>https://wenbozhangcn.github.io/media/sharing.jpg</url><title>Mobile Health</title><link>https://wenbozhangcn.github.io/tags/mobile-health/</link></image><item><title>WatchForce: Wearables Can Tell How Strong You Grasp From Your Wrist</title><link>https://wenbozhangcn.github.io/publications/watchforce/</link><pubDate>Wed, 01 Jul 2026 00:00:00 +0000</pubDate><guid>https://wenbozhangcn.github.io/publications/watchforce/</guid><description>&lt;p&gt;WatchForce explores whether everyday wearable signals from the wrist can reveal grasp force, supporting unobtrusive assessment of hand-object interaction.&lt;/p&gt;</description></item><item><title>MuscleSense</title><link>https://wenbozhangcn.github.io/projects/musclesense/</link><pubDate>Tue, 12 May 2026 00:00:00 +0000</pubDate><guid>https://wenbozhangcn.github.io/projects/musclesense/</guid><description>&lt;p&gt;MuscleSense is a real-time auditory biofeedback system that uses sparse thigh-worn IMU and sEMG to infer feedback-oriented muscle-effort states and support eyes-free regulation during lower-limb exercise.&lt;/p&gt;
&lt;p&gt;The project connects wearable physiological sensing, on-device inference, and closed-loop user feedback, making muscle effort easier to perceive and regulate during training, rehabilitation, and everyday movement.&lt;/p&gt;</description></item><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>