VR Application Framework for Collecting Sensor Data in Risky Situations

PubDate: December 2019

Teams: Osaka University，KDDI Research

Writers: Tatsuya Amano, Ryota Akikawa, Akira UchiyamaAkihito Hiromori, Hirozumi Yamaguchi, Teruo Higashino, Masaki Suzuki, Yasuhiko Hiehata, Takeshi Kitahara

PDF: VR Application Framework for Collecting Sensor Data in Risky Situations

Abstract

Some recent smartphone apps detect and predict dangerous situations and warn users. Since these apps detect users’ situations by leveraging machine learning methods based on smartphone sensor data, a large amount of training data is required to construct detection models. However, it is difficult to collect such data, especially in dangerous situations. This research proposes a Virtual Reality (VR) application framework for collecting sensor data in virtual dangerous situations in VR space.