stands for Digital Object Identifier
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
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 ） 。
Study on Driver Fatigue Detection Based on Face Biometrics
詹智傑 , Masters Advisor：楊淳良
人臉辨識 ； 疲勞駕駛 ； 圖像識別 ； 樹莓派開發板 ； Face Recognition ； Fatigue Driving ； Image Recognition ； Raspberry Pi 4 Model B Development Board
- Z. Mao and X.-M. Chu, “Advances of fatigue detecting technology for drivers,” China Safety Science Journal, vol. 15, no. 3, pp. 108-112, 2005.
-  蘇昭銘(2003)中華民國運輸學會-交通評論,“漫談駕駛疲勞,” available link: https://car.995.tw/ ?s=蘇昭銘
-  內政部警政署國道公路警察局全球資訊網,“交通事故統計分析,” available link: https://www.hpb.gov.tw/p/412-1000-98.php
-  P. Smith, M. Shah and N. da Vitoria Lobo, “Determining driver visual attention with one camera,” IEEE Transactions on Intelligent Transportation Systems, vol. 4, no. 4, pp. 205-218, Dec. 2003.
-  S. G. Klauer, T. A. Dingus, V. L. Neale, J. D. Sudweeks and D. J. Ramsey, “The impact of driver inattention on near-crash/crash risk: An analysis using the 100-car naturalistic driving study data,” U.S. Department of Transportation, National Highway Traffic Safety Administration, 2006.
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