https://hello-diana.github.io/tags/ubiquitous-computing/Ubiquitous ComputingHugo Blox Builder (https://hugoblox.com)en-usTue, 24 Jun 2025 00:00:00 +0000https://hello-diana.github.io/media/icon_hu_3520ea6f5cfedd63.pnghttps://hello-diana.github.io/tags/ubiquitous-computing/https://hello-diana.github.io/project/puffem/Tue, 24 Jun 2025 00:00:00 +0000https://hello-diana.github.io/project/puffem/<p>Understanding vaping behavior and nicotine intake is essential for addiction research and cessation support, but self-reports and gesture-based methods are unreliable and miss real-time events. <strong>PuffEM</strong> is a low-power, versatile e-cigarette sleeve that detects vaping events using a touch sensor and an on-the-surface magnetometer, and estimates the amount of vaporized nicotine. Paired with a mobile app, it captures sensor and contextual data to support behavioral research and health interventions.</p> <p> <figure > <div class="flex justify-center "> <div class="w-100" ><img alt="PuffEM&rsquo;s embedded sensing pipeline and the companion mobile-app data flow." srcset=" /project/puffem/pipeline_hu_2146909fcc75c772.webp 400w, /project/puffem/pipeline_hu_5cf6d44b8b01901e.webp 760w, /project/puffem/pipeline_hu_f2be496bfddb0dfe.webp 1200w" src="https://hello-diana.github.io/project/puffem/pipeline_hu_2146909fcc75c772.webp" width="760" height="715" loading="lazy" data-zoomable /></div> </div></figure> </p> <p><strong>My role.</strong> I co-led this project (equal first-authorship). We validated PuffEM in the lab across three ENDS devices and in a five-day in-the-wild deployment that demonstrated high usability and low burden. The work was published at <strong>ACM/IEEE CHASE 2025</strong>.</p>https://hello-diana.github.io/publication/wang-puff-em-ecigarette-sleeve-2025/Tue, 24 Jun 2025 00:00:00 +0000https://hello-diana.github.io/publication/wang-puff-em-ecigarette-sleeve-2025/<h2 id="abstract">Abstract</h2> <p>With the increasing prevalence of Electronic Nicotine Delivery Systems (ENDS), understanding vaping behaviors and nicotine intake is essential. We introduce <strong>PuffEM</strong>, a low-power, versatile system that reliably detects vaping events using a touch sensor and on-the-surface magnetometer to estimate nicotine intake. Integrated with a mobile app, PuffEM collects sensor and contextual data to support vaping and addiction research and health interventions. Lab tests confirm its ability to detect vaping events across three ENDS devices and estimate vaporized nicotine liquid, and a five-day in-wild study demonstrated high usability and low burden.</p>https://hello-diana.github.io/publication/goel-phantom-puffs-phantom/Tue, 10 Sep 2024 00:00:00 +0000https://hello-diana.github.io/publication/goel-phantom-puffs-phantom/<h2 id="abstract">Abstract</h2> <p>Testing sensors on human subjects is fraught with challenges such as extensive setup times and inconsistent data collection. We explore phantom organs to streamline sensor testing and validation, developing a <strong>phantom lung</strong> capable of emulating human breathing patterns. This provides a consistent, repeatable testing environment for ENDS monitoring sensors, reducing reliance on human subjects while enabling experimentation with novel sensing mechanisms.</p>https://hello-diana.github.io/post/ubicomp/Tue, 13 Sep 2022 00:00:00 +0000https://hello-diana.github.io/post/ubicomp/<p>I served as a selected student volunteer at UbiComp/ISWC 2022 in Atlanta, helping the program run smoothly while connecting with the ubiquitous computing research community.</p>https://hello-diana.github.io/publication/zhang-flexible-computational-photodetectors-2022/Thu, 27 Jan 2022 00:00:00 +0000https://hello-diana.github.io/publication/zhang-flexible-computational-photodetectors-2022/https://hello-diana.github.io/publication/zhang-optosense-2020/Fri, 04 Sep 2020 00:00:00 +0000https://hello-diana.github.io/publication/zhang-optosense-2020/