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).

该项目建议是一名博士生，涉及机器学习算法（和免费可用的软件）的开发，以自动评估和监视生物医学研究中使用的动物的福利。该技术将被实施“笼子”，以便可以从视频录像中评估福利，而不会对动物进行干扰，包括整个“活跃阶段”（夜间）。