非接触人机交互 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.
C. Gu, J. Wang, J. Lien, “Motion Sensing Using Radar: Gesture Interaction and Beyond,” IEEE Microwave Magazine, Vol. 20, No. 8, August 2019.
Y. Li, C. Gu and J. -F. Mao, "4D Gesture Sensing Using Reconfigurable Virtual Array Based on a 60 GHz FMCW MIMO Radar Sensor," IEEE Transactions on Microwave Theory and Techniques, vol. 70, no. 7, pp. 3652-3665, July 2022.
Y. Lu, C. Gu, Ling-Shen Wu and J. -F. Mao, "A 3-D Ray Tracing Model for Short-Range Radar Sensing of Hand Gestures", Asia-Pacific Microwave Conference (APMC), Hong Kong, China, November 2020.
非接触健康监测 Wireless Health Monitoring
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.
C. Gu, R. Li, R. Fung, C. Torres, S. Jiang, and C. Li, “Accurate Respiration Measurement using DC-Coupled Continuous-Wave Radar Sensor for Motion-adaptive Cancer Radiotherapy,” IEEE Transactions on Biomedical Engineering, Vol.59, No.11, pp.3117-3123, Nov. 2012.
L. Wen, S. Dong, Z. Zhang, C. Gu and J. -F. Mao, "Noninvasive Continuous Blood Pressure Monitoring Based on Wearable Radar Sensor with Preliminary Clinical Validation", 2022 IEEE International Microwave Symposium (IMS), Denver, CO, June 2022.
L. Wen, Y. Gao, C. Gu and J. Mao, "PhysioChair: A Dual-Frequency Radar System for Noninvasive and Continuous Detection of Physiological Signatures," in IEEE Sensors Journal, vol. 22, no. 8, pp. 8224-8233, 2022.
无线感知电路与系统 Wireless Sensing Circuits and Systems
J. Liu, J. Lu, Y. Li, C. Gu and J. Mao, "Mitigation of Leakage and Stationary Clutters in Short-Range FMCW Radar With Hybrid Analog and Digital Compensation Technique," in IEEE Transactions on Microwave Theory and Techniques, vol. 70, no. 1, pp. 62-73, Jan. 2022.
W. Xu, Y. Li, C. Gu and J. -F. Mao, "Large Displacement Motion Interferometry With Modified Differentiate and Cross-Multiply Technique," in IEEE Transactions on Microwave Theory and Techniques, vol. 69, no. 11, pp. 4879-4890, Nov. 2021.
J. Lu, Z. Shao, C. Li, C. Gu and J. Mao, "A Portable 5.8 GHz Dual Circularly Polarized Interferometric Radar Sensor for Short-Range Motion Sensing," in IEEE Transactions on Antennas and Propagation, vol. 70, no. 7, pp. 5849-5859, July 2022.
F. Tong, J. Liu, C. Li, C. Gu and J. Mao, "Measurement of Displacement Motions based on Unsynchronized Bandpass Sampling with a Low-IF Doppler Radar", 2022 IEEE International Microwave Symposium (IMS), Denver, CO, June 2022.
Z. Zhang, J. Liu, C. Li, C. Gu and J. Mao, "Analysis and Experiments of the Impact of Frequency Ramp Nonlinearity on Range Resolution and Accuracy in LFMCW Radars", 2022 IEEE International Microwave Symposium (IMS), Denver, CO, June 2022.
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