A Time Domain Artificial Intelligence Radar for Hand Gesture Recognition Using 33-GHz Direct Sampling

Jungwoon Park; Junyoung Jang; Geunhaeng Lee; Hyunmin Koh; Changhwan Kim; Tae Wook Kim

doi:10.23919/VLSIC.2019.8777995

A Time Domain Artificial Intelligence Radar for Hand Gesture Recognition Using 33-GHz Direct Sampling

Jungwoon Park, Junyoung Jang, Geunhaeng Lee, Hyunmin Koh, Changhwan Kim, Tae Wook Kim

Department of Electrical and Electronic Engineering

Research output: Chapter in Book/Report/Conference proceeding › Conference contribution

1 Citation (Scopus)

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	https://doi.org/10.23919/VLSIC.2019.8777995
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	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

Access to Document

10.23919/VLSIC.2019.8777995

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Park, J., Jang, J., Lee, G., Koh, H., Kim, C., & Kim, T. W. (2019). A Time Domain Artificial Intelligence Radar for Hand Gesture Recognition Using 33-GHz Direct Sampling. In 2019 Symposium on VLSI Circuits, VLSI Circuits 2019 - Digest of Technical Papers (pp. C24-C25). [8777995] (IEEE Symposium on VLSI Circuits, Digest of Technical Papers; Vol. 2019-June). Institute of Electrical and Electronics Engineers Inc.. https://doi.org/10.23919/VLSIC.2019.8777995

Park, Jungwoon ; Jang, Junyoung ; Lee, Geunhaeng ; Koh, Hyunmin ; Kim, Changhwan ; Kim, Tae Wook. / A Time Domain Artificial Intelligence Radar for Hand Gesture Recognition Using 33-GHz Direct Sampling. 2019 Symposium on VLSI Circuits, VLSI Circuits 2019 - Digest of Technical Papers. Institute of Electrical and Electronics Engineers Inc., 2019. pp. C24-C25 (IEEE Symposium on VLSI Circuits, Digest of Technical Papers).

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title = "A Time Domain Artificial Intelligence Radar for Hand Gesture Recognition Using 33-GHz Direct Sampling",

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.",

author = "Jungwoon Park and Junyoung Jang and Geunhaeng Lee and Hyunmin Koh and Changhwan Kim and Kim, {Tae Wook}",

note = "Funding Information: This work was supported by IITP (2017-0-00418) and the Rohde & Schwarz for test instruments. Publisher Copyright: {\textcopyright} 2019 JSAP.; 33rd Symposium on VLSI Circuits, VLSI Circuits 2019 ; Conference date: 09-06-2019 Through 14-06-2019",

year = "2019",

month = jun,

doi = "10.23919/VLSIC.2019.8777995",

language = "English",

series = "IEEE Symposium on VLSI Circuits, Digest of Technical Papers",

publisher = "Institute of Electrical and Electronics Engineers Inc.",

pages = "C24--C25",

booktitle = "2019 Symposium on VLSI Circuits, VLSI Circuits 2019 - Digest of Technical Papers",

address = "United States",

}

Park, J, Jang, J, Lee, G, Koh, H, Kim, C & Kim, TW 2019, A Time Domain Artificial Intelligence Radar for Hand Gesture Recognition Using 33-GHz Direct Sampling. in 2019 Symposium on VLSI Circuits, VLSI Circuits 2019 - Digest of Technical Papers., 8777995, IEEE Symposium on VLSI Circuits, Digest of Technical Papers, vol. 2019-June, Institute of Electrical and Electronics Engineers Inc., pp. C24-C25, 33rd Symposium on VLSI Circuits, VLSI Circuits 2019, Kyoto, Japan, 19/6/9. https://doi.org/10.23919/VLSIC.2019.8777995

A Time Domain Artificial Intelligence Radar for Hand Gesture Recognition Using 33-GHz Direct Sampling. / Park, Jungwoon; Jang, Junyoung; Lee, Geunhaeng; Koh, Hyunmin; Kim, Changhwan; Kim, Tae Wook.

2019 Symposium on VLSI Circuits, VLSI Circuits 2019 - Digest of Technical Papers. Institute of Electrical and Electronics Engineers Inc., 2019. p. C24-C25 8777995 (IEEE Symposium on VLSI Circuits, Digest of Technical Papers; Vol. 2019-June).

Research output: Chapter in Book/Report/Conference proceeding › Conference contribution

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AB - 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.

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M3 - Conference contribution

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Park J, Jang J, Lee G, Koh H, Kim C, Kim TW. A Time Domain Artificial Intelligence Radar for Hand Gesture Recognition Using 33-GHz Direct Sampling. In 2019 Symposium on VLSI Circuits, VLSI Circuits 2019 - Digest of Technical Papers. Institute of Electrical and Electronics Engineers Inc. 2019. p. C24-C25. 8777995. (IEEE Symposium on VLSI Circuits, Digest of Technical Papers). https://doi.org/10.23919/VLSIC.2019.8777995

A Time Domain Artificial Intelligence Radar for Hand Gesture Recognition Using 33-GHz Direct Sampling

Abstract

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Bibliographical note

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