微波无线感知

Think Big, Act Small, Stay Humble

感知智能是人工智能的主要发展方向之一,是机器通过各种智能感知能力与自然界进行交互。我们研究基于射频/微波/毫米波的无线感知系统级硬件与算法,满足未来人工智能、物联网等对核心智能感知技术的需求。

无线感知丰富的手势动作


手势交互: 隔空时钟控制


手势交互: 隔空游戏操控


无线非接触感知生命体征


非接触探测机械振动(微米级精度)




Touchless Human-Computer Interaction

Human hands are natural tools for performing actions and gestures that interact with the physical world. Radar technology allows for touchless wireless gesture sensing by transmitting radio frequency (RF) signals to the target, analyzing the backscattering reflections to extract the target’s movements, and thereby accurately detecting gestures for Human Computer Interaction (HCI). A key advantage of this technology is that it allows interaction with machines without any need to attach a sensing device to the hands. .




Wireless Physiological Sensing

Many patients have the uncomfortable experiences of lying on bed, monitored by all kinds of wired medical instruments. What if a person’s vital signs can be monitored when he or she just lays or sits down or even is cooking in the kitchen, without all these messy wires? No sensor is needed to be attached to the body that may cause skin effect and nervousness to affect the response. Most importantly, it'll be no longer necessary for the subject under monitoring to stay still, which makes the monitoring process much more flexible and comfortable. This dream is becoming true with the development of our noncontact health monitoring technologies.



Structural Health Monitoring

The development of effective structural health monitoring (SHM) strategies is critical as aging infrastructure remains a national concern with widespread impact on the quality of our daily lives. Conventional technologies for measuring deflection, both dynamic and static, are either too bulky or expensive to be integrated into wireless smart sensor networks or lack sufficient accuracy. We proposed the new technology of leveraging the low-cost, miniaturized, wireless radar-based sensors for the enhancement of low-frequency vibration-based bridge monitoring and the measurement of static bridge deflections.



Wireless Sensing Systems

  • Theoretical research on short-range sensing principles, mathematical models.
  • System architectures including both sensing front-end and baseband.
  • Innovative solutions to tackle inherent limitations in short-range wireless sensing.
  • Sensing system prototyping.
  • System integration - PCB, SoC, SIP, mixed signal.
  • Hardware agnostic algorithms and modulation/demodulation methods.
  • Machine learning for improved sensing.