Towards an open-source, equipment-agnostic framework for automated welfare monitoring in the home cage

建立一个开源的、与设备无关的框架，用于家庭笼子中的自动化福利监测

• 批准号: 2910729
• 金额: --
• 依托单位: University of Lincoln
• 依托单位国家: 英国
• 项目类别: Studentship
• 财政年份: 2020
• 资助国家: 英国
• 起止时间: 2020 至 无数据
• 项目状态: 已结题
• 来源: https://gtr.ukri.org/projects?ref=studentship-2910729
• 关键词: Towards; open; source; equipment; agnostic

This project proposal is a PhD studentship which involves the development of machine learning algorithms (and freely available software) to automatically assess and monitor the welfare of animals used in biomedical research. The technology will be implemented "cage side" so that welfare can be assessed from video footage without disruption to the animals, including throughout their "active phase" (during the night).

该项目是一个博士生项目，涉及开发机器学习算法(和免费提供的软件)，以自动评估和监测生物医学研究中使用的动物的福利。这项技术将在笼侧实施，这样就可以在不干扰动物的情况下从视频片段中评估福利，包括它们的整个“活动阶段”(在夜间)。