论文标题
视力和惯性感应融合人类行动识别：评论
Vision and Inertial Sensing Fusion for Human Action Recognition : A Review
论文作者
论文摘要
人类行动识别用于许多应用，例如视频监视，人类计算机互动，辅助生活和游戏。文献中出现了许多论文，表明视力和惯性感应的融合可以提高识别精度，而当每种传感方式单独使用时的情况下。本文提供了对论文的调查，在融合框架内同时使用视力和惯性感应，以执行人类的行动识别。被调查的论文根据融合方法，功能，分类器以及所考虑的多模式数据集进行了分类。还指出了在现实条件下部署这两种感应方式的融合，还指出了挑战以及未来的方向。
Human action recognition is used in many applications such as video surveillance, human computer interaction, assistive living, and gaming. Many papers have appeared in the literature showing that the fusion of vision and inertial sensing improves recognition accuracies compared to the situations when each sensing modality is used individually. This paper provides a survey of the papers in which vision and inertial sensing are used simultaneously within a fusion framework in order to perform human action recognition. The surveyed papers are categorized in terms of fusion approaches, features, classifiers, as well as multimodality datasets considered. Challenges as well as possible future directions are also stated for deploying the fusion of these two sensing modalities under realistic conditions.
