Hiroshima University, Public Relations Group
E-mail: koho[at]office.hiroshima-u.ac.jp (Change [at] into @)
1-3-2 Kagamiyama, Higashi-Hiroshima City, Hiroshima, Japan 739-8511
Faculty Information Details
All data is as of April 28, 2025.
- WANG FEIYUE
- Assistant Professor (Special Appointment)
| Affiliation | Graduate School of Advanced Science and Engineering |
|---|---|
| Discipline | Electrical, Systems, and Control Engineering |
| Academic Degrees |
Huazhong University of Science and Technology Hiroshima University |
| Research Fields |
Engineering; Electrical and electronic engineering; Measurement engineering |
| Research Keywords | High-speed 3D Measurement / Vibration Measurement / High-speed Vision |
| Comments |
My research centers around real-time dynamic software sensors powered by high-speed vision. Capitalizing on the fact that every pixel in high-speed vision is essentially an optical sensor, I utilize its high temporal and spatial resolution to divide the whole image into specific distributions. These allow for the development of various dynamic software sensors such as vibration distribution visualization sensors and rotary encoder sensors. One particular application of this is the development of a tapping sensor that can be used in a virtual keyboard. This sensor captures the slight movement made by fingertips when they touch the surface, thereby providing a more realistic and responsive experience. Specifically, my current work involves the implementation of AI-based technologies to improve the accuracy of spatial dynamic characteristics of high-speed phenomena and to reduce noise. This includes the deployment of real-time high-speed processing methods like GPUs that align with the frame rate of high-speed vision. My work spans a variety of areas such as developing elementary technologies for low-noise target area extraction using segmentation techniques. It also involves measuring comprehensive dynamic characteristics of structures such as infrastructure and machinery, and fitting distribution measurements to 3D models. This research has the potential to contribute significantly to various fields by improving accuracy, reducing noise, and enhancing the overall efficiency of high-speed vision-based applications. |
| Profiles of Faculty and Research Scholars |
Click here |
| Past media appearances | |
| Topic | |
| SDGs | |
| Educational Programs |
[Master's Program] Graduate School of Advanced Science and Engineering : Division of Advanced Science and Engineering : Electrical, Systems, and Control Engineering Program [Master's Program] Graduate School of Advanced Science and Engineering : Division of Advanced Science and Engineering : Smart Innovation Program [Doctoral Program] Graduate School of Advanced Science and Engineering : Division of Advanced Science and Engineering : Electrical, Systems, and Control Engineering Program [Doctoral Program] Graduate School of Advanced Science and Engineering : Division of Advanced Science and Engineering : Smart Innovation Program |
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