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Sensing, Recognition, and Security / Sensor-Based Activity Recognition

Current smart devices struggle to accurately recognize complex everyday activities in real-world environments.

lightbulbPractical problemSensor-Based Activity Recognition

Current smart devices struggle to accurately recognize complex everyday activities in real-world environments.

UbiComp '22Leveraging Sound and Wrist Motion to Detect Activities of Daily Living with Commodity Smartwatches

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lightbulbPractical problemSensor-Based Activity Recognition

Non-experts struggle to understand and trust complex AI activity recognition models in smart homes.

UbiComp '24Using Large Language Models to Compare Explainable Models for Smart Home Human Activity Recognition

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Users face high cost and complex operation with traditional sleep monitoring technologies.

UbiComp '24SleepNetZero: Zero-Burden Zero-Shot Reliable Sleep Staging with Neural Networks Based on Ballistocardiograms

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Hyperspectral imaging devices are expensive and bulky, making them inaccessible to ordinary users.

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Users cannot detect harmful gases on the go with mobile devices, posing health and safety risks.

UbiComp '24Waving Hand as Infrared Source for Ubiquitous Gas Sensing

lightbulbPractical problemSensor-Based Activity Recognition

Existing RF respiration monitoring struggles with motion interference during high-intensity exercise.

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lightbulbPractical problemSensor-Based Activity Recognition

Users in resource-limited regions lack convenient and reliable tools for body temperature monitoring.

UbiComp '23FeverPhone: Accessible Core-Body Temperature Sensing for Fever Monitoring Using Commodity Smartphones

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ChromaFlash: Snapshot Hyperspectral Imaging Using Rolling Shutter Cameras

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