CRI:COLLABORATIVE RESEARCH: Automated facial expression measurement toolbox and database

摘要计划：NSF 04-588简明计算研究基础设施标题：CRI：协作研究：自动面部表情测量：工具箱和数据库建议：CNS 0454233PI：玛丽安·S·巴特利特机构：加州大学圣迭戈分校CNS 0454183PI：马克·弗兰克斯机构：罗格斯大学新不伦瑞克这个社区资源项目将打包并向CISE研究社区发布用于人机交互研究的基于视觉的感知基元的软件工具集合和已经由面部表情专家编码的面部表情数据库。这些工具可以从面部动作编码系统(FAC)识别基本情绪和面部动作。这些工具和数据库是与机器学习和面部表情领域的专家共同开发的。这一社区资源的更广泛影响包括促进美国更广泛社区在这一领域的研究和教育，在教育和机器辅导应用中使用自动面部表情，促进计算机视觉的进步，促进与情感、认知和人机交流相关的行为科学和医学的进步，以及在国土安全中的应用。

AbstractProgram: NSF 04-588 CISE Computing Research InfrastructureTitle: CRI: COLLABORATIVE RESEARCH: Automated facial expression measurement: toolbox and database Lead Proposal: CNS 0454233PI: Marian S. BartlettInstitution: University of California-San DiegoProposal CNS 0454183PI: Mark FrankInstitution: Rutgers University New BrunswickThis community resource project will package and release to the CISE research community a collection of software tools for vision based perceptual primitives for human-computer interaction studies and a database of facial expressions that has been coded by facial expression experts. The tools enable recognition of basic emotions and facial actions from the Facial Action Coding Systems (FACS). The tools and database have been developed with experts from machine learning and facial expression fields. Broader impacts of this community resource include enabling research and education in this area for a broader community in the U.S., use of automated facial expression in education and machine tutoring applications, enabling advances in computer vision, enabling advances in behavioral science and medicine related to emotion, cognition, and human-machine communication, and applications in homeland security.