Towards Automated Models of Activities of Daily Life
Towards Automated Models of Activities of Daily Life
复制标题
走向日常生活活动的自动化模型
DOI：
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发表时间：
2009
期刊：
影响因子：
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通讯作者：
Jan Bandouch
中科院分区：
文献类型：
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作者：
M. Beetz;Moritz Tenorth;Dominik Jain;Jan Bandouch
我们提出日常活动的自动化概率模型（AM-EvA）作为一种新颖的技术手段，用于感知、解释和分析日常操作任务和日常生活活动。 AM-EvAs 基于日常活动中与动作相关的概念，例如与动作相关的位置（从橱柜中取出杯子的位置）、能力（可以单手拿起的物体）等。这些概念是从一组先前的活动中概率导出的，这些活动由计算机视觉和附加传感器系统完全自动地观察到。 AM-EvA 模型使机器人和技术系统能够在完整的情况和活动背景下分析活动。它们使行动和情况的分类和评估变得客观，并且可以证明对从中学到概念的活动的概率解释是合理的。在本文中，我们描述了实现日常活动自动化模型这一想法的系统的当前实施状态，并展示了对餐桌设置事件的观察和分析的示例结果。
We propose automated probabilistic models of everyday activities (AM-EvA) as a novel technical means for the perception, interpretation, and analysis of everyday manipulation tasks and activities of daily life. AM-EvAs are based on action-related concepts in everyday activities such as action-related places (the place where cups are taken from the cupboard), capabilities (the objects that can be picked up single-handedly), etc. These concepts are probabilistically derived from a set of previous activities that are fully and automatically observed by computer vision and additional sensor systems. AM-EvA models enable robots and technical systems to analyze activities in the complete situation and activity context. They render the classification and the assessment of actions and situations objective and can justify the probabilistic interpretation with respect to the activities the concepts have been learned from. In this paper, we describe the current state of implementation of the system that realizes this idea of automated models of everyday activities and show example results from the observation and analysis of table setting episodes.