November 9, 2025 November 9, 2025 At HAKODATE Academic Link 2025, held at the Hakodate City Youth Center, the following three teams from our university received awards.
HAKODATE Academic Link is a joint research presentation event where students from eight high schools in Hakodate City gather to present their research topics and results through poster displays and demonstrations.
Of the 60 teams that participated in the booth sessions, the "LOGROKU" team received the Special Jury Prize, following the Grand Prize and Excellence Awards, while the "Anomaly Detection" team received the Peer Review Award for their high evaluation in peer reviews among participants. In addition, the "MIRAI RING" team, which participated in the stage session, received the Excellence Award (Industry-Academia-Government Collaboration "Creative Network" Award), following the Grand Prize.
Booth Session Jury Special Award
- Theme: A New Diary Experience
- Team name: LOGROKU
- Members: Masato Ishikawa, Kento Momiyama, Jin Sugawara, Mako Uemura, Ryo Kimura
- Activity Overview: In anticipation of a future where the development of AI may lead to a decline in people's cognitive abilities, we propose a new diary experience that combines journaling with a board game. This service allows users to reflect on the past in a game-like manner, enhance self-understanding and self-esteem, and enjoy sharing with friends.
Peer Review Award
- Theme: Piano performance evaluation using anomaly detection techniques
- Team Name: Anomaly Detection
- Member: Tomoshi Iejo
- Activity Overview: This research aims to reproduce the sensations people experience when listening to a musical performance, such as "noticing a mistake" or "feeling something is off," using anomaly detection techniques.
Stage Session Excellence Award (Industry-Academia-Government Collaboration "Creative Network" Award)
- Theme: Proposal of a silent speech recognition ring using active acoustic sensing
- Team name: Mirai Ring
- Member: Naoto Asako
- Activity Overview: We aim to create an interface that uses ultrasonic sensing technology to capture mouth movements with a ring-shaped device, allowing for silent input of spoken content.