DOI
stands for Digital Object Identifier
(
D
igital
O
bject
I
dentifier
)
,
and is the unique identifier for objects on the internet. It can be used to create persistent link and to cite articles.
Using DOI as a persistent link
To create a persistent link
「
https://doi.org/
」
before a DOI.
For instance, if the DOI of an article is
10.5297/ser.1201.002
, you can link persistently to the article by entering the following link in your browser:
https://doi.org/
10.5297/ser.1201.002
。
The DOI link will always direct you to the most updated article page no matter how the publisher changes the document's position, avoiding errors when engaging in important research.
Cite a document with DOI
When citing a document with a DOI, the DOI permanent URL should always be presented (if using APA or Chicago format, present https://doi.org/DOI number). If using a citation format that does not specify DOI, the DOI permanent URL should still be presented as a priority.
DOIs allow accurate citations, improve academic contents connections, and allow users to gain better experience across different platforms. Currently, there are more than 70 million DOIs registered for academic contents. If you want to understand more about DOI, please visit airiti DOI Registration ( doi.airiti.com ) 。
以台灣年長者為對象之基於深度卷積類神經網路的自動臉部表情辨識
Automatic Facial Expression Recognition for Taiwanese Elders with Deep Convolutional Neural Network
葉德緯 , Masters Advisor:鄭士康
英文
DOI:
10.6342/NTU202100072
臉部表情辨識 ; 年長者看護 ; 深度學習 ; 遷移學習 ; 可解釋人工智慧 ; Facial expression recognition ; Elderly care ; Deep learning ; Transfer learning ; Explainable artificial intelligence


- [1] World Health Organization, “Global health and aging,” 2011. https://www.who.int/ageing/publications/global_health.pdf.
- [2] C.-P. Liu, “Empathetic generative-based chatbot with emotion understanding via reinforcement learning,” Master’s thesis, Department of Electrical Engineering, National Taiwan University, 2020.
- [3] J.-H. Jhan, “Empathetic and retrieval-based chatbot using deep reinforcement learning,” Master’s thesis, Graduate Institute of Communication Engineering, National Taiwan University, 2020.
- [4] C. Sirithunge, A. B. P. Jayasekara, and D. Chandima, “Proactive robots with the perception of nonverbal human behavior: A review,” IEEE Access, vol. 7, pp. 77308–77327, 2019.
- [5] S. Li and W. Deng, “Deep facial expression recognition: A survey,” IEEE Transactions on Affective Computing, 2020.