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http://dx.doi.org/10.22156/CS4SMB.2020.10.04.001

Open-source robot platform providing offline personalized advertisements  

Kim, Young-Gi (Dept. of Computer Science and Engineering, Seoul National University of Science and Technology)
Ryu, Geon-Hee (Electronic and Information Commnucation Engineering, Daejeon University)
Hwang, Eui-Song (Electronic and Information Commnucation Engineering, Daejeon University)
Lee, Byeong-Ho (Electronic and Information Commnucation Engineering, Daejeon University)
Yoo, Jeong-Ki (Electronic and Information Commnucation Engineering, Daejeon University)
Publication Information
Journal of Convergence for Information Technology / v.10, no.4, 2020 , pp. 1-10 More about this Journal
Abstract
The performance of the personalized product recommendation system for offline shopping malls is poor compared with the one using online environment information since it is difficult to obtain visitors' characteristic information. In this paper, a mobile robot platform is suggested capable of recommending personalized advertisement using customers' sex and age information provided by Face API of MS Azure Cloud service. The performance of the developed robot is verified through locomotion experiments, and the performance of API used for our robot is tested using sampled images from open Asian FAce Dataset (AFAD). The developed robot could be effective in marketing by providing personalized advertisements at offline shopping malls.
Keywords
Intelligent service robot; Offline shopping mall; Open-source; Face recognition; Human-robot interaction;
Citations & Related Records
Times Cited By KSCI : 6  (Citation Analysis)
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