Abstract
This research developed time domain Artificial Intelligence radar using up to 33 GS/s direct sampling technique. It can recognize both static and dynamic hand gesture by learning the unique impulse signal that comes back from target. The algorithm gets recognition rate 93.2% and 90.5%, respectively on set of static and dynamic gesture.
Original language | English |
---|---|
Title of host publication | 2019 Symposium on VLSI Circuits, VLSI Circuits 2019 - Digest of Technical Papers |
Publisher | Institute of Electrical and Electronics Engineers Inc. |
Pages | C24-C25 |
ISBN (Electronic) | 9784863487185 |
DOIs | |
Publication status | Published - 2019 Jun |
Event | 33rd Symposium on VLSI Circuits, VLSI Circuits 2019 - Kyoto, Japan Duration: 2019 Jun 9 → 2019 Jun 14 |
Publication series
Name | IEEE Symposium on VLSI Circuits, Digest of Technical Papers |
---|---|
Volume | 2019-June |
Conference
Conference | 33rd Symposium on VLSI Circuits, VLSI Circuits 2019 |
---|---|
Country/Territory | Japan |
City | Kyoto |
Period | 19/6/9 → 19/6/14 |
Bibliographical note
Funding Information:This work was supported by IITP (2017-0-00418) and the Rohde & Schwarz for test instruments.
Publisher Copyright:
© 2019 JSAP.
All Science Journal Classification (ASJC) codes
- Electronic, Optical and Magnetic Materials
- Electrical and Electronic Engineering