A Computational Efficient Temporal Convolutional Network for Heart Rate Monitoring under Strenuous Exercising Condition using a mm-Wave FMCW Radar

Shih Hsuan Lai; Chun Chia Chen; Chun Yen Chuang; Zai Yuan Han; Kyle Cheng; Irwin Chen; Vincent Wu; Jyehong Chen

doi:10.1364/CLEOPR.2022.CMP15B_05

A Computational Efficient Temporal Convolutional Network for Heart Rate Monitoring under Strenuous Exercising Condition using a mm-Wave FMCW Radar

Shih Hsuan Lai, Chun Chia Chen, Chun Yen Chuang^*, Zai Yuan Han, Kyle Cheng, Irwin Chen, Vincent Wu, Jyehong Chen

^*Corresponding author for this work

Research output: Contribution to journal › Conference article › peer-review

1 Scopus citations

Abstract

A mm-Wave FMCW radar system with a low-complexity temporal convolutional network for non-contact exercise heart-rate monitoring is demonstrated. With around 10% of original parameters, we achieve 85% average accuracy on various types of exercise equipment.

Original language	English
Journal	Optics InfoBase Conference Papers
DOIs	https://doi.org/10.1364/CLEOPR.2022.CMP15B_05
State	Published - 2022
Event	2022 Conference on Lasers and Electro-Optics Pacific Rim, CLEO/PR 2022 - Sapporo, Japan Duration: 31 Aug 2022 → 5 Sep 2022

Access to Document

10.1364/CLEOPR.2022.CMP15B_05

Cite this

@article{58eb0c9d953a4068871b587f286d823c,

title = "A Computational Efficient Temporal Convolutional Network for Heart Rate Monitoring under Strenuous Exercising Condition using a mm-Wave FMCW Radar",

abstract = "A mm-Wave FMCW radar system with a low-complexity temporal convolutional network for non-contact exercise heart-rate monitoring is demonstrated. With around 10% of original parameters, we achieve 85% average accuracy on various types of exercise equipment.",

author = "Lai, {Shih Hsuan} and Chen, {Chun Chia} and Chuang, {Chun Yen} and Han, {Zai Yuan} and Kyle Cheng and Irwin Chen and Vincent Wu and Jyehong Chen",

note = "Publisher Copyright: {\textcopyright} IEEE 2022.; 2022 Conference on Lasers and Electro-Optics Pacific Rim, CLEO/PR 2022 ; Conference date: 31-08-2022 Through 05-09-2022",

year = "2022",

doi = "10.1364/CLEOPR.2022.CMP15B_05",

language = "English",

journal = "Optics InfoBase Conference Papers",

issn = "2162-2701",

}

TY - JOUR

T1 - A Computational Efficient Temporal Convolutional Network for Heart Rate Monitoring under Strenuous Exercising Condition using a mm-Wave FMCW Radar

AU - Lai, Shih Hsuan

AU - Chen, Chun Chia

AU - Chuang, Chun Yen

AU - Han, Zai Yuan

AU - Cheng, Kyle

AU - Chen, Irwin

AU - Wu, Vincent

AU - Chen, Jyehong

PY - 2022

Y1 - 2022

N2 - A mm-Wave FMCW radar system with a low-complexity temporal convolutional network for non-contact exercise heart-rate monitoring is demonstrated. With around 10% of original parameters, we achieve 85% average accuracy on various types of exercise equipment.

AB - A mm-Wave FMCW radar system with a low-complexity temporal convolutional network for non-contact exercise heart-rate monitoring is demonstrated. With around 10% of original parameters, we achieve 85% average accuracy on various types of exercise equipment.

UR - http://www.scopus.com/inward/record.url?scp=85166471720&partnerID=8YFLogxK

U2 - 10.1364/CLEOPR.2022.CMP15B_05

DO - 10.1364/CLEOPR.2022.CMP15B_05

M3 - Conference article

AN - SCOPUS:85166471720

SN - 2162-2701

JO - Optics InfoBase Conference Papers

JF - Optics InfoBase Conference Papers

T2 - 2022 Conference on Lasers and Electro-Optics Pacific Rim, CLEO/PR 2022

Y2 - 31 August 2022 through 5 September 2022

ER -

A Computational Efficient Temporal Convolutional Network for Heart Rate Monitoring under Strenuous Exercising Condition using a mm-Wave FMCW Radar

Abstract

Access to Document

Other files and links

Fingerprint

Cite this