社会信号解释(SSI)框架:实时多模态信号处理和识别

J. Wagner, F. Lingenfelser, Tobias Baur, Ionut Damian, Felix Kistler, E. André
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引用次数: 183

摘要

语音、手势、模仿等传递的社会信号的自动检测和解释将在下一代界面中发挥关键作用,因为它为更直观、更自然的人机交互铺平了道路。本文介绍了社会信号解释(Social Signal Interpretation, SSI),一个实时识别社会信号的框架。SSI支持各种传感器设备、滤波器和特征算法,以及机器学习和模式识别工具。它鼓励开发人员使用SSI的c++ API添加新组件,但也通过提供XML接口来使用文本编辑器构建管道,从而解决了前端用户的问题。SSI在GPL下可在http://openssi.net免费获得。
本文章由计算机程序翻译,如有差异,请以英文原文为准。
The social signal interpretation (SSI) framework: multimodal signal processing and recognition in real-time
Automatic detection and interpretation of social signals carried by voice, gestures, mimics, etc. will play a key-role for next-generation interfaces as it paves the way towards a more intuitive and natural human-computer interaction. The paper at hand introduces Social Signal Interpretation (SSI), a framework for real-time recognition of social signals. SSI supports a large range of sensor devices, filter and feature algorithms, as well as, machine learning and pattern recognition tools. It encourages developers to add new components using SSI's C++ API, but also addresses front end users by offering an XML interface to build pipelines with a text editor. SSI is freely available under GPL at http://openssi.net.
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