[2C4-OS-7a] OS-7 (1)

[2C4-OS-7a-02] Preliminary Investigation of Unsupervised Segmentation for Animal Locomotion Data using Deep Learning

〇Hiroki Tsujimoto¹, Koh Takeuchi², Yasue Kishino³, Hirokazu Suzuki⁴, Ken Yoda⁴, Koutarou D. Kimura⁵, Takuya Maekawa¹, Takahiro Hara¹ (1. Osaka University, 2. Kyoto University, 3. NTT Communication Science Laboratories, 4. Nagoya University, 5. Nagoya City University)

Keywords:Bio-Navigation, Machine Learning, Unsupervised Learning, time series

The recent development of sensing technology and computer vision enables to track and measure the behavior of animals. This study investigates the unsupervised segmentation of animal locomotion data using deep learning based on image-based unsupervised segmentation methods.