COMPUTATIONAL MODELS FOR THE AUTOMATIC RECOGNITION OF NHP SOCIAL BEHAVIORS

这个子项目是利用资源的许多研究子项目之一。 由NIH/NCRR资助的中心拨款提供。对子项目的主要支持 子项目的首席调查员可能是由其他来源提供的， 包括美国国立卫生研究院的其他来源。为子项目列出的总成本可能 表示该子项目使用的中心基础设施的估计数量， 不是由NCRR赠款提供给次级项目或次级项目工作人员的直接资金。 这项研究的目的是开发不引人注目的方法来观察、记录、识别和总结生活在社会群体中的单个恒河猴的行为。这种方法论将为研究行为的动态复杂性提供重要的新工具，这不仅对生物医学研究，而且对改善畜牧业和福祉都将是无价的。具体地说，目的是：1)开发和评估用于不引人注目地观察和记录社会群体中的个人行为的视听遥测传感器阵列，以及2)利用来自该阵列的数据开发和评估用于识别和推断社会群体中的个人行为的计算模型。该项目的工作应于2011年5月开始。

This subproject is one of many research subprojects utilizing the resources provided by a Center grant funded by NIH/NCRR. Primary support for the subproject and the subproject's principal investigator may have been provided by other sources, including other NIH sources. The Total Cost listed for the subproject likely represents the estimated amount of Center infrastructure utilized by the subproject, not direct funding provided by the NCRR grant to the subproject or subproject staff. The goal of this study is to develop unobtrusive methods for observing, recording, identifying and summarizing behavior of individual rhesus macaques living in social groups. Such methodology will provide important new tools for studying the dynamic complexity of behavior, which will be invaluable not only for biomedical studies but also for improving animal husbandry and well-being. Specifically, the aims are: 1) Develop and evaluate a audio-visual-telemetry sensor array for observing and recording behavior of individuals in a social group unobtrusively, and 2) Develop and evaluate computational models for identifying and inferring behavior of an individual in a social group using data from this array. Work on this project should start in May 2011.