Location History:
- Nanchong, CN (2021)
- Syracuse, NY (US) (2023)
Company Filing History:
Years Active: 2021-2023
Title: Innovations by Tiexing Wang
Introduction
Tiexing Wang is a notable inventor based in Nanchong, China. He has made significant contributions to the field of motion detection and classification through his innovative patents. With a total of two patents to his name, Wang's work focuses on utilizing advanced technologies to enhance situational awareness and room shape reconstruction.
Latest Patents
Wang's latest patents include "Motion detection and classification using ambient wireless signals" and "Motion sensor assisted room shape reconstruction and self-localization using first-order acoustic echoes." The first patent describes a system that employs radio frequency (RF) communication signals to extract situational awareness information through deep learning. This system utilizes a specially designed neural network architecture to handle complex RF signals while preserving discriminating features in spatial, temporal, and frequency domains. The second patent outlines a method for simultaneous 2-D room shape reconstruction and self-localization without the need for pre-established infrastructure. By using a mobile device equipped with a microphone and loudspeaker, the system collects echoes reflected by walls to recover the room's shape and the device's position.
Career Highlights
Tiexing Wang is affiliated with Syracuse University, where he continues to advance his research and innovation in the field. His work has garnered attention for its practical applications and effectiveness in real-world scenarios.
Collaborations
Wang collaborates with notable colleagues such as Biao Chen and Yang Liu, contributing to a dynamic research environment that fosters innovation and development.
Conclusion
Tiexing Wang's contributions to motion detection and room shape reconstruction highlight his role as a leading inventor in his field. His innovative patents demonstrate the potential of technology to enhance our understanding of spatial environments.