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AI Bio-logging

AI Biologging is a research paradigm that we were the first in the world to propose. In this approach, AI embedded in biologging devices intelligently observes and records the behaviors and ecology of wild animals. Through the development of compact and efficient AI models that operate on small, resource-constrained devices, we aim to uncover previously unknown aspects of wildlife behavior and ecology.

Related Publications

Figure for Exploring Deep Learning Techniques for Wild Animal Behaviour Classification Using Animal‐borne AccelerometersMachine learning enables improved runtime and precision for bio-loggers on seabirds

Exploring Deep Learning Techniques for Wild Animal Behaviour Classification Using Animal‐borne AccelerometersMachine learning enables improved runtime and precision for bio-loggers on seabirds

Ryoma Otsuka, Naoya Yoshimura, Kei Tanigaki, Shiho Koyama, Yuichi Mizutani, Ken Yoda, Takuya Maekawa
Methods in Ecology and Evolution, (Apr. 2024)

Exploring deep learning techniques for wild animal behaviour classification using animal-borne accelerometers.

Bio-loggingDeep LearningAnimal BehaviorAccelerometers