AI-based indoor human gesture recognition using FMCW radar
Human gesture recognition is an emerging necessity of in the industry. How- ever, traditional Computer Vision, which typically uses optical sensors, often fails in this task, due to unstable light conditions and possible blockages. Radar- based sensors, however, are able to detect an object in low-l...
Main Author: | Liu, Boya |
---|---|
Other Authors: | Wen Bihan |
Format: | Thesis-Master by Coursework |
Language: | English |
Published: |
Nanyang Technological University
2022
|
Subjects: | |
Online Access: | https://hdl.handle.net/10356/161668 |
Similar Items
-
Radar-based human gesture recognition
by: Li, Zhuoxin
Published: (2023) -
Simulation study on ranging by FMCW radar
by: Soe, Min Oo.
Published: (2013) -
Dynamic hand gesture recognition based on mm-wave radar
by: Yan, Zixiao
Published: (2022) -
Human gesture sensing using radar micro-doppler signatures
by: Wu, Ruihua
Published: (2019) -
Design of low power fractional-N phase locked loop for FMCW radar application
by: Liu, Supeng
Published: (2016)