Qin Chen 陈钦

Qin Chen 陈钦

Ph.D of Information and Communication Engineering

University of Electronic Science and Technology of China (UESTC)

Biography

Hi, my name is Chen Qin, currently pursuing a doctor degree at the University of Electronic Science and Technology of China. My research encompasses millimeter-wave radar gesture recognition, radar system design, and edge computing. I am passionate about exploring the application of radar technology in gesture recognition and dedicated to designing efficient radar systems. Additionally, I have a keen interest in high-speed RF hardware design and electromagnetic simulation based on bounce-ray techniques.

Interests
  • Artificial Intelligence for Sensing 🤖
  • Radar signal processing 📡
  • Sparse array signal processing 📊
  • Design of radar system ⚡
  • Human-Computer Interaction 🖐️
Education

  • PhD in Information and Communication Engineering, 2022

    University of Electronic Science and Technology of China (UESTC)

  • MEng in Information and Communication Engineering, 2020

    University of Electronic Science and technology of China (UESTC)

  • BSc in Electronic Information Engineering, 2016

    University of Electronic Science and technology of China (UESTC)

Projects

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All MMHTSR RadarStream mmscribe Other
HCI Gesture Control

HCI Gesture Control

A mid-to-long range gesture control system for smart TVs using mmWave radar, enabling seamless device-free interaction through HID simulation.

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MMEngine

MMEngine

A next-generation multimodal data acquisition engine with blueprint node design, featuring real-time visualization, synchronized annotation, and deep learning inference capabilities.

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MMHTSR

MMHTSR

In-air Handwriting Trajectory Sensing and Reconstruction based on mmWave Radar.

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mmscribe

mmscribe

RadarStream is a real-time RAWDATA acquisition, processing, and visualization system for TI MIMO mmWave radar series.

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RadarEngine

RadarEngine

A C/C++ radar data acquisition and visualization software built with ImGui framework, simplifying radar operation with integrated firmware update, data collection, signal processing, and real-time visualization.

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RadarSensing

RadarSensing

A comprehensive radar sensing upper computer software integrating real-time data acquisition, time-frequency signal visualization, vital signs monitoring, and motion recognition.

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RadarStream

RadarStream

RadarStream is a real-time RAWDATA acquisition, processing, and visualization system for TI MIMO mmWave radar series.

Code Slides Follow

Gallery

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Recent Publications

Quickly discover relevant content by filtering publications.
Chen Q, Chen Y, Tian Y, Cao Z (2025). Domain-Generalized mmWave Gesture Recognition via Multi-View Learning. IEEE Transactions on Instrumentation and Measurement.

PDF Code Dataset Poster Slides Video Source Document Custom Link

Chen Q, Cui Z, Tian Y, Cao Z (2024). Joint position estimation for hand motion using MIMO FMCW mmWave radar. IEEE IoT J.

PDF Cite Code Slides

Chen Q, Cui Z, Zhou Z, Tian Y, Cao Z (2023). MMHTSR: In-air handwriting trajectory sensing and reconstruction based on mmWave radar. IEEE IoT J.

PDF Cite Code Slides DOI

Chen Q, Tian Y, Chen Y, Cao Z (2019). mmScribe: Streaming End-to-End Aerial Handwriting Text Translation via mmWave Radar. IEEE Transactions on Mobile Computing.

PDF Code Dataset Poster Slides Video Source Document Custom Link

Contact

  • qinchen_uestc@163.com
  • No. 2006, Xiyuan Ave, West Hi-Tech Zone, Chengdu, China, 611731
  • Find me online or in person at the Research Building C area.
  • Monday 10:00 to 13:00
    Wednesday 09:00 to 10:00