Detection of Mild Cognitive Impairment by Facial Videos

Chien Cheng Lee; Hong Han Hank Chau; Hsiao Lun Wang; Yi Fang Chuang; Yawgeng Chau

doi:10.1109/ICCE-Taiwan55306.2022.9869203

Detection of Mild Cognitive Impairment by Facial Videos

Chien Cheng Lee^*, Hong Han Hank Chau, Hsiao Lun Wang, Yi Fang Chuang, Yawgeng Chau

^*此作品的通信作者

公共衛生研究所

研究成果: Conference contribution › 同行評審

4 引文斯高帕斯（Scopus）

摘要

In this study, we proposed a two-stream ConvNet model to detect the mild cognitive impairment (MCI) using facial videos. The image frame containing the facial spatial information and the stacked optical flow fields containing the motion information were extracted from facial videos. Both were input to the two-stream CovnNet model to predict MCI. The experimental results showed that the validation accuracy reaches 91%. This finding indicates that an automatic, non-invasive, and inexpensive MCI screening methods from facial videos is feasible.

原文	English
主出版物標題	Proceedings - 2022 IEEE International Conference on Consumer Electronics - Taiwan, ICCE-Taiwan 2022
發行者	Institute of Electrical and Electronics Engineers Inc.
頁面	197-198
頁數	2
ISBN（電子）	9781665470506
DOIs	https://doi.org/10.1109/ICCE-Taiwan55306.2022.9869203
出版狀態	Published - 2022
事件	2022 IEEE International Conference on Consumer Electronics - Taiwan, ICCE-Taiwan 2022 - Taipei, 台灣持續時間: 6 7月 2022 → 8 7月 2022

出版系列

名字	Proceedings - 2022 IEEE International Conference on Consumer Electronics - Taiwan, ICCE-Taiwan 2022

Conference

Conference	2022 IEEE International Conference on Consumer Electronics - Taiwan, ICCE-Taiwan 2022
國家/地區	台灣
城市	Taipei
期間	6/07/22 → 8/07/22

UN SDG

此研究成果有助於以下永續發展目標

存取文件

10.1109/ICCE-Taiwan55306.2022.9869203

其它文件與鏈接

Link to publication in Scopus

引用此

Lee, C. C., Chau, H. H. H., Wang, H. L., Chuang, Y. F., & Chau, Y. (2022). Detection of Mild Cognitive Impairment by Facial Videos. 於 Proceedings - 2022 IEEE International Conference on Consumer Electronics - Taiwan, ICCE-Taiwan 2022 (頁 197-198). (Proceedings - 2022 IEEE International Conference on Consumer Electronics - Taiwan, ICCE-Taiwan 2022). Institute of Electrical and Electronics Engineers Inc.. https://doi.org/10.1109/ICCE-Taiwan55306.2022.9869203

Lee, Chien Cheng ; Chau, Hong Han Hank ; Wang, Hsiao Lun 等. / Detection of Mild Cognitive Impairment by Facial Videos. Proceedings - 2022 IEEE International Conference on Consumer Electronics - Taiwan, ICCE-Taiwan 2022. Institute of Electrical and Electronics Engineers Inc., 2022. 頁 197-198 (Proceedings - 2022 IEEE International Conference on Consumer Electronics - Taiwan, ICCE-Taiwan 2022).

@inproceedings{5e281418e8f3448c971d44f3b48eabb7,

title = "Detection of Mild Cognitive Impairment by Facial Videos",

abstract = "In this study, we proposed a two-stream ConvNet model to detect the mild cognitive impairment (MCI) using facial videos. The image frame containing the facial spatial information and the stacked optical flow fields containing the motion information were extracted from facial videos. Both were input to the two-stream CovnNet model to predict MCI. The experimental results showed that the validation accuracy reaches 91%. This finding indicates that an automatic, non-invasive, and inexpensive MCI screening methods from facial videos is feasible.",

author = "Lee, {Chien Cheng} and Chau, {Hong Han Hank} and Wang, {Hsiao Lun} and Chuang, {Yi Fang} and Yawgeng Chau",

note = "Publisher Copyright: {\textcopyright} 2022 IEEE.; 2022 IEEE International Conference on Consumer Electronics - Taiwan, ICCE-Taiwan 2022 ; Conference date: 06-07-2022 Through 08-07-2022",

year = "2022",

doi = "10.1109/ICCE-Taiwan55306.2022.9869203",

language = "English",

series = "Proceedings - 2022 IEEE International Conference on Consumer Electronics - Taiwan, ICCE-Taiwan 2022",

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

pages = "197--198",

booktitle = "Proceedings - 2022 IEEE International Conference on Consumer Electronics - Taiwan, ICCE-Taiwan 2022",

address = "美國",

}

Lee, CC, Chau, HHH, Wang, HL, Chuang, YF & Chau, Y 2022, Detection of Mild Cognitive Impairment by Facial Videos. 於 Proceedings - 2022 IEEE International Conference on Consumer Electronics - Taiwan, ICCE-Taiwan 2022. Proceedings - 2022 IEEE International Conference on Consumer Electronics - Taiwan, ICCE-Taiwan 2022, Institute of Electrical and Electronics Engineers Inc., 頁 197-198, 2022 IEEE International Conference on Consumer Electronics - Taiwan, ICCE-Taiwan 2022, Taipei, 台灣, 6/07/22. https://doi.org/10.1109/ICCE-Taiwan55306.2022.9869203

Detection of Mild Cognitive Impairment by Facial Videos. / Lee, Chien Cheng; Chau, Hong Han Hank; Wang, Hsiao Lun 等.
Proceedings - 2022 IEEE International Conference on Consumer Electronics - Taiwan, ICCE-Taiwan 2022. Institute of Electrical and Electronics Engineers Inc., 2022. p. 197-198 (Proceedings - 2022 IEEE International Conference on Consumer Electronics - Taiwan, ICCE-Taiwan 2022).

研究成果: Conference contribution › 同行評審

TY - GEN

T1 - Detection of Mild Cognitive Impairment by Facial Videos

AU - Lee, Chien Cheng

AU - Chau, Hong Han Hank

AU - Wang, Hsiao Lun

AU - Chuang, Yi Fang

AU - Chau, Yawgeng

PY - 2022

Y1 - 2022

N2 - In this study, we proposed a two-stream ConvNet model to detect the mild cognitive impairment (MCI) using facial videos. The image frame containing the facial spatial information and the stacked optical flow fields containing the motion information were extracted from facial videos. Both were input to the two-stream CovnNet model to predict MCI. The experimental results showed that the validation accuracy reaches 91%. This finding indicates that an automatic, non-invasive, and inexpensive MCI screening methods from facial videos is feasible.

AB - In this study, we proposed a two-stream ConvNet model to detect the mild cognitive impairment (MCI) using facial videos. The image frame containing the facial spatial information and the stacked optical flow fields containing the motion information were extracted from facial videos. Both were input to the two-stream CovnNet model to predict MCI. The experimental results showed that the validation accuracy reaches 91%. This finding indicates that an automatic, non-invasive, and inexpensive MCI screening methods from facial videos is feasible.

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U2 - 10.1109/ICCE-Taiwan55306.2022.9869203

DO - 10.1109/ICCE-Taiwan55306.2022.9869203

M3 - Conference contribution

AN - SCOPUS:85138735689

T3 - Proceedings - 2022 IEEE International Conference on Consumer Electronics - Taiwan, ICCE-Taiwan 2022

SP - 197

EP - 198

BT - Proceedings - 2022 IEEE International Conference on Consumer Electronics - Taiwan, ICCE-Taiwan 2022

PB - Institute of Electrical and Electronics Engineers Inc.

T2 - 2022 IEEE International Conference on Consumer Electronics - Taiwan, ICCE-Taiwan 2022

Y2 - 6 July 2022 through 8 July 2022

ER -

Lee CC, Chau HHH, Wang HL, Chuang YF, Chau Y. Detection of Mild Cognitive Impairment by Facial Videos. 於 Proceedings - 2022 IEEE International Conference on Consumer Electronics - Taiwan, ICCE-Taiwan 2022. Institute of Electrical and Electronics Engineers Inc. 2022. p. 197-198. (Proceedings - 2022 IEEE International Conference on Consumer Electronics - Taiwan, ICCE-Taiwan 2022). doi: 10.1109/ICCE-Taiwan55306.2022.9869203

Detection of Mild Cognitive Impairment by Facial Videos

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