<?xml version="1.0" encoding="utf-8" standalone="yes"?><rss version="2.0" xmlns:atom="http://www.w3.org/2005/Atom" xmlns:content="http://purl.org/rss/1.0/modules/content/"><channel><title>Wearable Sensors on Aaron Appelle</title><link>https://aaronappelle.github.io/tags/wearable-sensors/</link><description>Recent content in Wearable Sensors on Aaron Appelle</description><generator>Hugo -- 0.147.2</generator><language>en</language><lastBuildDate>Mon, 12 May 2025 00:00:00 +0000</lastBuildDate><atom:link href="https://aaronappelle.github.io/tags/wearable-sensors/index.xml" rel="self" type="application/rss+xml"/><item><title>Embedded sensing system for shipboard damage control scenarios</title><link>https://aaronappelle.github.io/research/cybersys/</link><pubDate>Mon, 12 May 2025 00:00:00 +0000</pubDate><guid>https://aaronappelle.github.io/research/cybersys/</guid><description>This paper develops a holistic shipboard monitoring system that provides real-time actionable information from environmental and wearable sensors to enhance the performance and safety of damage control crews. Published in SPIE Proceedings, 2025.</description></item><item><title>Integration of wearable and ambient sensors towards characterization of physical effort</title><link>https://aaronappelle.github.io/research/apwshm/</link><pubDate>Thu, 30 Mar 2023 00:00:00 +0000</pubDate><guid>https://aaronappelle.github.io/research/apwshm/</guid><description>This paper describes an intelligent environment that consolidates wearable skin-strain sensors, geophones, microphones, and video cameras to characterize physical effort. Published in 9APWSHM, 2023.</description></item><item><title>Wearable Sensor Platform to Monitor Physical Exertion Using Graphene Motion Tape</title><link>https://aaronappelle.github.io/research/ewshm/</link><pubDate>Sun, 19 Jun 2022 00:00:00 +0000</pubDate><guid>https://aaronappelle.github.io/research/ewshm/</guid><description>This paper presents a power-efficient, wearable sensing platform to infer distributed muscle exertion in real time using graphene Motion Tape. Published in EWSHM 2022.</description></item></channel></rss>