Elder Action Recognition Based on Convolutional Neural Network and Long Short-Term Memory

Hsiao Ting Tseng; Chen Chiung Hsieh; Ti Yun Hsu

doi:10.1109/ICCE-TW52618.2021.9603253

Elder Action Recognition Based on Convolutional Neural Network and Long Short-Term Memory

Hsiao Ting Tseng, Chen Chiung Hsieh, Ti Yun Hsu

資訊管理學系

研究成果: 書貢獻/報告類型 › 會議論文篇章 › 同行評審

摘要

To assist in the identification of possible dangerous situations in the elderly care situation, such as a fall. This study utilizes action recognition to detect and record elder daily movement. If there is any abnormality, the detection system will send out a warning for help. The accuracy is 87.5% for the elder action recognition that developed with CNN and LSTM.

原文	???core.languages.en_GB???
主出版物標題	2021 IEEE International Conference on Consumer Electronics-Taiwan, ICCE-TW 2021
發行者	Institute of Electrical and Electronics Engineers Inc.
ISBN（電子）	9781665433280
DOIs	https://doi.org/10.1109/ICCE-TW52618.2021.9603253
出版狀態	已出版 - 2021
事件	8th IEEE International Conference on Consumer Electronics-Taiwan, ICCE-TW 2021 - Penghu, Taiwan 持續時間: 15 9月 2021 → 17 9月 2021

出版系列

名字	2021 IEEE International Conference on Consumer Electronics-Taiwan, ICCE-TW 2021

???event.eventtypes.event.conference???

???event.eventtypes.event.conference???	8th IEEE International Conference on Consumer Electronics-Taiwan, ICCE-TW 2021
國家/地區	Taiwan
城市	Penghu
期間	15/09/21 → 17/09/21

存取文件

10.1109/ICCE-TW52618.2021.9603253

以長者人權、需求層次理論與活躍老化觀點為核心打造之整合性AI社區長者整體照護模式(3/5)
Tseng, H.
1/02/21 → 31/01/22
研究計畫: Research

引用此

Tseng, H. T., Hsieh, C. C., & Hsu, T. Y. (2021). Elder Action Recognition Based on Convolutional Neural Network and Long Short-Term Memory. 於 2021 IEEE International Conference on Consumer Electronics-Taiwan, ICCE-TW 2021 (2021 IEEE International Conference on Consumer Electronics-Taiwan, ICCE-TW 2021). Institute of Electrical and Electronics Engineers Inc.. https://doi.org/10.1109/ICCE-TW52618.2021.9603253

Tseng, Hsiao Ting ; Hsieh, Chen Chiung ; Hsu, Ti Yun. / Elder Action Recognition Based on Convolutional Neural Network and Long Short-Term Memory. 2021 IEEE International Conference on Consumer Electronics-Taiwan, ICCE-TW 2021. Institute of Electrical and Electronics Engineers Inc., 2021. (2021 IEEE International Conference on Consumer Electronics-Taiwan, ICCE-TW 2021).

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title = "Elder Action Recognition Based on Convolutional Neural Network and Long Short-Term Memory",

abstract = "To assist in the identification of possible dangerous situations in the elderly care situation, such as a fall. This study utilizes action recognition to detect and record elder daily movement. If there is any abnormality, the detection system will send out a warning for help. The accuracy is 87.5% for the elder action recognition that developed with CNN and LSTM. ",

author = "Tseng, {Hsiao Ting} and Hsieh, {Chen Chiung} and Hsu, {Ti Yun}",

note = "Publisher Copyright: {\textcopyright} 2021 IEEE.; null ; Conference date: 15-09-2021 Through 17-09-2021",

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doi = "10.1109/ICCE-TW52618.2021.9603253",

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Tseng, HT, Hsieh, CC & Hsu, TY 2021, Elder Action Recognition Based on Convolutional Neural Network and Long Short-Term Memory. 於 2021 IEEE International Conference on Consumer Electronics-Taiwan, ICCE-TW 2021. 2021 IEEE International Conference on Consumer Electronics-Taiwan, ICCE-TW 2021, Institute of Electrical and Electronics Engineers Inc., 8th IEEE International Conference on Consumer Electronics-Taiwan, ICCE-TW 2021, Penghu, Taiwan, 15/09/21. https://doi.org/10.1109/ICCE-TW52618.2021.9603253

Elder Action Recognition Based on Convolutional Neural Network and Long Short-Term Memory. / Tseng, Hsiao Ting; Hsieh, Chen Chiung; Hsu, Ti Yun.

2021 IEEE International Conference on Consumer Electronics-Taiwan, ICCE-TW 2021. Institute of Electrical and Electronics Engineers Inc., 2021. (2021 IEEE International Conference on Consumer Electronics-Taiwan, ICCE-TW 2021).

研究成果: 書貢獻/報告類型 › 會議論文篇章 › 同行評審

TY - GEN

T1 - Elder Action Recognition Based on Convolutional Neural Network and Long Short-Term Memory

AU - Tseng, Hsiao Ting

AU - Hsieh, Chen Chiung

AU - Hsu, Ti Yun

PY - 2021

Y1 - 2021

N2 - To assist in the identification of possible dangerous situations in the elderly care situation, such as a fall. This study utilizes action recognition to detect and record elder daily movement. If there is any abnormality, the detection system will send out a warning for help. The accuracy is 87.5% for the elder action recognition that developed with CNN and LSTM.

AB - To assist in the identification of possible dangerous situations in the elderly care situation, such as a fall. This study utilizes action recognition to detect and record elder daily movement. If there is any abnormality, the detection system will send out a warning for help. The accuracy is 87.5% for the elder action recognition that developed with CNN and LSTM.

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U2 - 10.1109/ICCE-TW52618.2021.9603253

DO - 10.1109/ICCE-TW52618.2021.9603253

M3 - 會議論文篇章

AN - SCOPUS:85123053333

T3 - 2021 IEEE International Conference on Consumer Electronics-Taiwan, ICCE-TW 2021

BT - 2021 IEEE International Conference on Consumer Electronics-Taiwan, ICCE-TW 2021

PB - Institute of Electrical and Electronics Engineers Inc.

Y2 - 15 September 2021 through 17 September 2021

ER -

Tseng HT, Hsieh CC, Hsu TY. Elder Action Recognition Based on Convolutional Neural Network and Long Short-Term Memory. 於 2021 IEEE International Conference on Consumer Electronics-Taiwan, ICCE-TW 2021. Institute of Electrical and Electronics Engineers Inc. 2021. (2021 IEEE International Conference on Consumer Electronics-Taiwan, ICCE-TW 2021). doi: 10.1109/ICCE-TW52618.2021.9603253

Elder Action Recognition Based on Convolutional Neural Network and Long Short-Term Memory

摘要

出版系列

???event.eventtypes.event.conference???

存取文件

指紋

專案

以長者人權、需求層次理論與活躍老化觀點為核心打造之整合性AI社區長者整體照護模式(3/5)

引用此