bioRxiv · 10.1101/2024.01.04.572506
DeepRod: A human-in-the-loop system for automatic rodent behavior analysis
Abstract
We present a human-in-the-loop system for efficient rodent behavior analysis in drug development. Addressing the time-consuming and labor-intensive nature of manual behavior categorization, this UX-optimized platform integrates AI for complex behavior prediction and active learning to identify rare events. The proposed solution leverages a cloud-native data processing pipeline, AI-based novelty behavior recognition and multi-class classification, demonstrating significant improvements in behavior labeling and discovery.
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Loy, A., Garafolj, M., Schauerte, H., Behnke, H., Charnier, C., Schwarz, P., Rast, G., Wollmann, T.. 2024-01-04. DeepRod: A human-in-the-loop system for automatic rodent behavior analysis. https://doi.org/10.1101/2024.01.04.572506
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