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
Sensing, Recognition, and Security / Millimeter-Wave Radar Sensing
Drones cannot achieve precise localization and tracking in complex indoor environments using conventional technologies.
Similar questions
lightbulbPractical problemMillimeter-Wave Radar Sensing
Patients find it difficult to monitor arrhythmia comfortably over the long term with wearable devices.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
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.lightbulbPractical problemMillimeter-Wave Radar Sensing
Vibration detection equipment is costly, complex to install, and difficult to use for precise multi-point monitoring.Related papers
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mmArrhythmia: Contactless Arrhythmia Detection via mmWave Sensing
Langcheng Zhao, Rui Lyu, Qi Lin
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CubeSense++: Smart Environment Sensing with Interaction-Powered Corner Reflector Mechanisms
Xiaoying Yang, Jacob Sayono, Yang Zhang
UbiComp 2023
Multi-Vib: Precise Multi-point Vibration Monitoring Using mmWave Radar
Yanni Yang, Huafeng Xu, Qianyi Chen
UbiComp 2023
Midas: Generating mmWave Radar Data from Videos for Training Pervasive and Privacy-preserving Human Sensing Tasks
Kaikai Deng, Dong Zhao, Qiaoyue Han