Long-term continuous animal behavior monitoring

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外文摘要:Systems and methods for continuous monitoring of the behavior of animals, such as small rodents, are provided. Monitoring can include video, audio, and other sensor modalities. In one embodiment, the system can include cameras, arena design, environmental sensors, and ultrasonic sensors. The system uniquely provides a continuous long-term monitoring system suitable for mouse behavioral study. Further provided is a neural network based tracker configured for use with video data acquired by the monitoring system. 3 different neural network architectures have been tested to determine their performance on genetically diverse mice under varying environmental conditions. It has been observed that that an encoder-decoder segmentation neural network achieves high accuracy and speed with minimal training data. This general purpose neural network tracker can be easily extended to other experimental paradigms and even to other animals through transfer learning, thus forming a robust, generalizable solution for bio-behavioral research.
申请号:JP2020507071
专利号:JP7303793B2
公开/公告号:JP7303793B2
申请日:2018-08-07
公开/公告日:2023-07-05
申请/专利权人:The Jackson Laboratory
发明/设计人:クマール ビベーク; ゴイター ブライアン·キュー; ピーターソン ジム; チャーチル ゲイリー
分类号:G06T7/254; A01K1/03; A01K29/00; G06T7/00; H04N19/20; H04N19/59;
主分类号:G06T7/254;
法律状态:授权
原文传递申请:江苏省科技资源(工程技术文献)统筹服务平台
  1. 编译服务:智慧农业
  2. 编译者:虞德容
  3. 编译时间:2025-01-10