SBIR Phase I: Cloud-Enabled Analysis Of Facial Affect

该小企业创新研究（SBIR）一期项目旨在开发Affectiva人脸识别平台；云软件即服务平台，用于分析面部的情绪和认知状态。Affectiva Face Reader平台在以下方面提供了潜在的盈利机会：1)市场研究，2)媒体研究，3)产品测试，4)可用性测试，提供对客户共鸣的洞察。该方法包括构建一个多层架构，使面部表情分析无缝、可扩展且价格合理。该公司设想将人脸分析产品作为一种价格合理的软件即服务解决方案，使用高度可扩展的云计算资源，供学术界和小型用户使用，并为工业中大量用户提供更高利润的使用。其目标是提供一种技术服务，对客户和企业就产品体验进行沟通的方式产生积极影响。拟议中的产品可能在几个方面具有变革性：该公司允许对人类交流的一个重要方面进行更准确的理解，并且他们正在使市场研究民主化。此外，如果成功部署，该产品有可能加速社会智能的心理学和临床研究。

This Small Business Innovation Research (SBIR) Phase I project aims to develop Affectiva Face Reader Platform; a cloud-enabled software as a service platform for the analysis of emotional and cognitive states from the face. Affectiva Face Reader Platform addresses potentially lucrative business opportunity in: 1) market research, 2) media research, 3) product testing and 4) usability testing, offering insights into customer resonance. The approach consists of building a multitier architecture that makes facial expression analysis seamless, scalable and affordable. The company envisions a product that offers face-analysis as an affordable software as a service solution using highly scalable cloud-computing resources, enabling use by academics and smaller users, and higher-profit use by heavy users in industry. The goal is a technology service that positively impacts the way customers and businesses communicate about product experiences. The proposed product is potentially transformative in several ways: the company is allowing more accurate understanding of an important aspect of human communication, and they are democratizing market research. In addition, the product if successfully deployed has the potential to accelerate psychological and clinical research on social intelligence.