July 1, 2022
At the 74th Meeting of the IPSJ Special Interest Group on Ubiquitous Computing Systems (SIGUBI), Takumi Karasawa (4th-year student, Faculty of Environment and Information Studies), a member of the laboratory of Professor Jin Nakazawa and Associate Professor Tadashi Okoshi of the Faculty of Environment and Information Studies, received the Student Encouragement Award. Yu Taka (4th-year student, Faculty of Environment and Information Studies) and Mari Izumikawa (2nd-year student, Faculty of Policy Management) received the UBI Young Researcher Award. The Student Encouragement Award is an award to encourage students to promote their research, and is given to papers submitted in the student category based on a comprehensive evaluation of the presentation and the quality of the paper. The UBI Young Researcher Award is given to papers submitted in the student category up to the first year of graduate school, based on a comprehensive evaluation of the presentation and the quality of the paper.
[Student Encouragement Award]
- Takumi Karasawa (4th-year student, Faculty of Environment and Information Studies)
"Estimation of Smartphone Application Usage Using Accelerometer and Gyroscope Sensor Data"
Takumi Karasawa, Tomoki Hamanaka, Wataru Sasaki, Tadashi Okoshi, Jin Nakazawa
[UBI Young Researcher Award]
- Yu Taka (4th-year student, Faculty of Environment and Information Studies)
"Proposal of a Method for Estimating the Condition of Archery Learners Considering Emotion Recognition Ability"
Yu Taka, Tomoki Hamanaka, Hiroaki Betsumiya, Tadashi Okoshi, Jin Nakazawa
- Mari Izumikawa (2nd-year student, Faculty of Policy Management)
"Automatic Eating Stage Classification using ASMR videos"
Mari Izumikawa, Takafumi Kawasaki, Tadashi Okoshi, Jin Nakazawa
Comment from Takumi Karasawa (4th-year, Faculty of Environment and Information Studies)
I am very honored to have received the Student Encouragement Award at the 74th Meeting of the IPSJ Special Interest Group on Ubiquitous Computing Systems (SIGUBI). It is a great privilege to receive such a prestigious award.
This research aimed to increase opportunities to acquire screen time data, which is expected to have various applications for mental health and other areas, by estimating screen time data from easily obtainable sensor data. I would like to express my sincere gratitude to my mentor, Tomoki Hamanaka, who provided me with dedicated guidance on my research, as well as to the professors and senior students of the Nakazawa & Okoshi Laboratory, and my friends who cooperated in the experiments. It is thanks to them that I was able to receive this Student Encouragement Award. I plan to advance to graduate school next year, and I will continue to devote myself to my research activities.
Comment from Yu Taka (4th-year, Faculty of Environment and Information Studies)
I am very honored to have received the UBI Young Researcher Award at the 74th Meeting of the IPSJ Special Interest Group on Ubiquitous Computing Systems (SIGUBI). I proposed a method to estimate the condition of archery learners while they are practicing, in order to provide appropriate guidance tailored to their condition. Based on data of archery movements collected from 10 subjects, we compared and evaluated a baseline method with a method that incorporated data from a heartbeat counting task. The results demonstrated the usefulness of the latter method, which takes into account the differences in emotion recognition ability among subjects. I was able to receive this award thanks to the support of my professors and senior students. I am sincerely grateful. I will continue to dedicate myself to my research activities.
Comment from Mari Izumikawa (2nd-year, Faculty of Policy Management)
I am very happy to have received the Young Researcher Award. Currently, the number of patients with type 2 diabetes, which is caused by lifestyle habits, is increasing worldwide, and the need for "automatic dietary monitoring" is growing. In my research, I built a machine learning model to distinguish between "chewing sounds (mastication sounds)" and "swallowing sounds (deglutition sounds)" in order to predict the content and amount of food consumed from eating sounds. I believe I was able to receive this award because I was in an environment like the Nakazawa & Okoshi Laboratory, which actively encourages challenges regardless of research experience. I would like to express my gratitude to my mentor, Takafumi Kawasaki, who supported and guided me when I was completely new to the lab, as well as to the professors of the research group who have helped me, and the members of the research group who gave me a great deal of feedback. I will continue to work hard on developing an automatic dietary monitoring system using sound.
Source: General Affairs Section, Shonan Fujisawa Campus (SFC) Office