Detecting Affect from Non-stylised Body Motions
Detecting Affect from Non-stylised Body Motions
复制标题
检测非风格化身体动作的影响
DOI：
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复制
发表时间：
2007
期刊：
影响因子：
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通讯作者：
P. Robinson
中科院分区：
文献类型：
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作者：
D. Bernhardt;P. Robinson
在本文中，我们提出了一个新的框架，分析非风格化的运动，以检测隐含的沟通影响。我们的方法使用的分割技术，可以将复杂的运动分为一组自动派生的运动原语。解析的运动，然后分析的动态特征，其中示出的编码情感信息。为了使我们的算法适应个人的运动特质，我们开发了一种新的方法来获得无偏的运动特征。我们已经评估了我们的方法，使用一个全面的数据库的情感执行的议案。结果表明，消除个人运动偏见可以有一个显着的好处，从身体运动的自动情感识别。由此产生的识别率与参加类似心理实验的人类相似。
In this paper we present a novel framework for analysing non-stylised motion in order to detect implicitly communicated affect. Our approach makes use of a segmentation technique which can divide complex motions into a set of automatically derived motion primitives. The parsed motion is then analysed in terms of dynamic features which are shown to encode affective information. In order to adapt our algorithm to personal movement idiosyncrasies we developed a new approach for deriving unbiased motion features. We have evaluated our approach using a comprehensive database of affectively performed motions. The results show that removing personal movement bias can have a significant benefit for automated affect recognition from body motion. The resulting recognition rate is similar to that of humans who took part in a comparable psychological experiment.