DIGITAL VIDEO ANALYSIS SYSTEM FOR HOME CAGE BEHAVIOR

人类疾病，特别是精神疾病的转基因和基因敲除小鼠模型的发展，导致了对检测小鼠行为异常的灵敏自动化方法的需求。我们建议开发新的数学和计算机算法，能够自动跟踪和识别老鼠的正常行为，如定位运动和在家中的笼子，甚至识别偏离它们正常行为的行为，包括复杂的动物行为，如前肢到达(在第二阶段)。其目的是使用这些复杂的数字视频分析算法来允许计算机对行为进行解释。一旦完整的家庭笼子行为谱被编纂，就有可能为不同年龄和性别的常用近亲交配品系的小鼠制作出日常周期中的正常行为轮廓。这将使调查人员能够发现个人行为的类型、数量或日常节奏方面与行为标准模式的偏差。在识别了偏差之后，系统可以将偏差行为的视频剪辑呈现给调查员，以解释偏差的含义。数字视频算法还将允许有效和高效地对所需的动物行为场景进行非线性访问。建议的商业应用：这项建议的研究不仅将为包括医学研究所、大学、制药公司以及正在进行行为研究和分析的医院和诊所在内的神经科学和行为研究界创造巨大的利益，而且还将在整个生物学领域找到对该系统感兴趣的应用，以帮助他们进行基因研究、取消研究、艾滋病毒研究等领域的研究。

The development of transgenic and knock-out mouse models of human disorders, particularly psychiatric disorders has led to the need for sensitive automated methods for detecting behavioral abnormalities in mice. We propose to develop novel mathematical and computer algorithms that will be able to automatically track mouse and identify mouse normal behaviors such as locamotor movements and in home cage and even recognize deviations from their normal behaviors, including complex animal behaviors such as forelimb reaching (in Phase II). The purpose is to use these sophisticated digital video analysis algorithms to allow computer interpretation of behavior. Once the complete home-cage behavioral repertoire is codified, it will be possible to produce a normal profile of behavior across the daily cycle for commonly used inbred strains of mice of different ages and genders. This will enable investigators to detect deviations from the normative pattern of behaviors, either in the types, amount, or daily rhythms of individual behaviors. Having identified deviations, video clips of the deviant behaviors could be presented by the system to the investigator for interpretation of the meaning of the deviation. Digital video algorithms will also allow non linear access to desired animal behavior scenes effectively and efficiently. PROPOSED COMMERCIAL APPLICATION: This proposed research will not only create enormous benefits for the neuroscience and behavior research community including medical research institutes, universities, pharmaceutical companies, and hospitals and clinics who are conducting behavior study and analysis, but also find applications in the entire area of biology which will be interested in this system to help them conduct research in such areas as genetic research, cancel research, HIV research, etc. I can be applied to human-computer interface and surveillance and monitoring areas.