Company Filing History:
Years Active: 2021
Title: He Han: Innovator in Sensor Technology
Introduction
He Han is a prominent inventor based in Shanghai, China, known for his contributions to sensor technology. With a total of two patents to his name, he has made significant advancements in the field of autonomous systems and sensor data processing.
Latest Patents
He Han's latest patents include innovative systems and methods for enhancing sensor calibration and data reconstruction. One of his notable inventions is the "Extended Kalman filter based autonomous magnetometer calibration." This patent outlines a method for obtaining sensor data from both a gyroscope and a magnetometer, utilizing an extended Kalman filter for calibration. The process involves adjusting the sampling rate of the magnetometer to improve accuracy before and after calibration.
Another significant patent is "Sensor signal reconstruction in a sensor hub." This invention describes a sensor interface circuit that enables the reconstruction of signals from sensor data before it is transmitted to various clients. The circuit performs data interpolation and filtering to generate signals that match the different frequencies required by multiple sensor clients.
Career Highlights
He Han is currently employed at Intel Corporation, where he continues to develop cutting-edge technologies in sensor systems. His work at Intel has positioned him as a key player in the advancement of sensor technology, contributing to the company's reputation for innovation.
Collaborations
He collaborates with talented individuals such as Ke Han and Zhifeng Wang, who share his passion for innovation and technology. Their combined expertise fosters a creative environment that drives the development of new ideas and solutions.
Conclusion
He Han's contributions to sensor technology through his patents and work at Intel Corporation highlight his role as an influential inventor in the field. His innovative approaches to sensor calibration and data reconstruction are paving the way for advancements in autonomous systems.
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