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Sensing, Recognition, and Security / Millimeter-Wave Radar Sensing

Existing liquid identification methods are bulky, expensive, and require contact with samples, making daily application difficult.

lightbulbPractical problemMillimeter-Wave Radar Sensing

Existing liquid identification methods are bulky, expensive, and require contact with samples, making daily application difficult.

UbiComp '21FG-LiquID: A Contact-less Fine-grained Liquid Identifier by Pushing the Limits of Millimeter-wave Sensing

Similar questions

lightbulbPractical problemMillimeter-Wave Radar Sensing

Patients find it difficult to monitor arrhythmia comfortably over the long term with wearable devices.

UbiComp '24mmArrhythmia: Contactless Arrhythmia Detection via mmWave Sensing

lightbulbPractical problemMillimeter-Wave Radar Sensing

Existing blood pressure waveform monitoring methods are invasive with poor UX.

UbiComp '24Contactless Arterial Blood Pressure Waveform Monitoring with mmWave Radar

lightbulbPractical problemMillimeter-Wave Radar Sensing

Wearable device function degrades or fails due to poor clothing fit.

UbiComp '24Quantifying Fit of Wearable Systems With a Multi-Band, Remote Measurement System

lightbulbPractical problemMillimeter-Wave Radar Sensing

Drones cannot achieve precise localization and tracking in complex indoor environments using conventional technologies.

UbiComp '24RaDro: Indoor Drone Tracking Using Millimeter Wave Radar

lightbulbPractical problemMillimeter-Wave Radar Sensing

Emergency medical scenarios lack convenient and accurate respiration and heart rate monitoring methods.

UbiComp '24MmECare: Enabling Fine-grained Vital Sign Monitoring for Emergency Care with Handheld MmWave Radars

lightbulbPractical problemMillimeter-Wave Radar Sensing

Users' smart devices cannot accurately recognize characteristics such as direction and speed in complex interactions.

UIST '23CubeSense++: Smart Environment Sensing with Interaction-Powered Corner Reflector Mechanisms

Related papers

mmArrhythmia: Contactless Arrhythmia Detection via mmWave Sensing

Langcheng Zhao, Rui Lyu, Qi Lin

CubeSense++: Smart Environment Sensing with Interaction-Powered Corner Reflector Mechanisms

Xiaoying Yang, Jacob Sayono, Yang Zhang

Multi-Vib: Precise Multi-point Vibration Monitoring Using mmWave Radar

Yanni Yang, Huafeng Xu, Qianyi Chen

Midas: Generating mmWave Radar Data from Videos for Training Pervasive and Privacy-preserving Human Sensing Tasks

Kaikai Deng, Dong Zhao, Qiaoyue Han