Mr.Takumi Sato, Mr.Soichiro Kuroyanagi Awarded at 15th International Conference on Knowledge, Information and Creativity Support System (KICSS2020).
Category：Award｜Publishing : December 15, 2020
Award winner
15th International Conference on Knowledge, Information and Creativity Support System (KICSS2020)
・Student Best Paper Award
Mr.Takumi Sato, Computer Science Program, Department of Engineering
・Student Outstanding Paper Award
Mr.Soichiro Kuroyanagi, Computer Science Program, Department of Engineering
15th International Conference on Knowledge, Information and Creativity Support System (KICSS2020)
Award-winning research
Student Best Paper Award
Takumi Sato "Fully Automatic Classification of Open-ended Questionnaire"
The enormous cost of classifying free-description opinions in questionnaires is a substantial problem for local governments. To solve this, we propose an approach that implements a system of unsupervised automatic classification for open-ended opinions answered in the free-description field of questionnaires.
Student Outstanding Paper Award
Soichiro Kuroyanagi "Human Action Recognition in Telework Environments using YOLOv5"
Due to the spread of COVID-19 infection, more and more companies are recommending telework. Telework has the problem that it is difficult to manage employees and grasp the work status. In order to deal with this, we proposed a method to classify telework operations from videos into "PC work", "call", "write", "stretch", "sleep", and "others" by applying the object detection method.
Award winner's comments
Mr.Takumi Sato
I am honored to have received an honorable award.
I am very grateful for all this support from my supervisor Professor Takayuki Ito, Kyoto University, Professor Shun Okuhara, and Professor Shohei Kato, and our laboratory members. I would like to make further efforts and engage in research while discussing with various people.
Mr.Soichiro Kuroyanagi
We are truly honored to receive such a prestigious award. This is all thanks to the support of our academic advisors, Takayuki Ito, Kyoto University, Shun Okuhara, Shohei Kato, staff, and student members. I am extremely grateful. I would like to continue to make further efforts in this research and work on it while exchanging discussions with various people.
