Chao Cai 蔡超
Associate Professor, College of Life Science and Technology, HUST
Associate Professor, College of Life Science and Technology, HUST
We leverage physics-informed neural networks to recover PCG from in-ear sounds. We also find that PCG signals contain blood pressure information.
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We build a 64-channel 100 MS/s data acquisition platform. It can be chained together for PET readout electronics, ultrasonic sensing, and other spatial sampling applications.
We build a wireless powered temperature tag with high precision. The tag harvests energy from magnetic resonance, communicates up to 50 cm, and is waterproof.
We use computer vision to track cargo on a crane and emulate an unstable board at sea. The support point can move to reduce cargo motion relative to the ground.
REMVT improves conventional MVT by reducing logic resources and increasing energy characterization resolution.
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TwinPop uses fewer chain resources than conventional tapped delay line TDC designs while keeping low dead time and improving resilience to temperature fluctuations.
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ParCha folds a long delay chain into several short parallel pieces to reduce delay-cell heterogeneity and calibration effort.
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We design a compact, flexible, and resource-efficient analog peak detection circuit using FPGA-only solutions.
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EarAce handles hardware heterogeneity and provides flexible control of audio facilities for in-ear acoustic sensing.
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HRCSS uses a loose orthogonality condition to overlap multiple chirp carriers and improve data rate under dynamic channel conditions.
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We design a WiFi sensing platform based on the Hi3861 IoT chipset and HUAWEI Harmony OS.
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We design a passive acoustic localization and tracking system for multiple walking persons.
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We design an algorithm that enables a single smartphone to sense ambient temperature.
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Our algorithm uses the relationship between sound propagation speed and temperature for ambient temperature sensing.
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We design a general benchmarking platform for acoustic communication and sensing.
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We design an asynchronous acoustic indoor localization system for target localization and tracking.
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We design an online tool for tuning antenna coefficients on commodity millimeter-wave hardware.
MotionBeep enables precise long-distance ranging even in the presence of severe Doppler effects.
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