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.
|Title of host publication||2019 Symposium on VLSI Circuits, VLSI Circuits 2019 - Digest of Technical Papers|
|Publisher||Institute of Electrical and Electronics Engineers Inc.|
|Publication status||Published - 2019 Jun|
|Event||33rd Symposium on VLSI Circuits, VLSI Circuits 2019 - Kyoto, Japan|
Duration: 2019 Jun 9 → 2019 Jun 14
|Name||IEEE Symposium on VLSI Circuits, Digest of Technical Papers|
|Conference||33rd Symposium on VLSI Circuits, VLSI Circuits 2019|
|Period||19/6/9 → 19/6/14|
Bibliographical noteFunding Information:
This work was supported by IITP (2017-0-00418) and the Rohde & Schwarz for test instruments.
© 2019 JSAP.
All Science Journal Classification (ASJC) codes
- Electronic, Optical and Magnetic Materials
- Electrical and Electronic Engineering