Cooking procedure recognition and inference in sensor embedded kitchen

Y. Nakauchi, Takuo Suzuki, Akira Tokumasu, S. Murakami
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引用次数: 7

Abstract

This paper proposes cooking support using ubiquitous sensors. We developed a machine learning algorithm that recognizes cooking procedures by taking into account widely varying sensor information and user behavior. To provide appropriate instructions to users, we developed a Markov-model-based behavior prediction algorithm. Using these algorithms, we developed cooking support automatically displaying cooking instruction videos based on user progress. Experiments and experimental results confirmed the feasibility of our proposed cooking support.
嵌入式传感器厨房烹饪过程识别与推理
本文提出使用无处不在的传感器来支持烹饪。我们开发了一种机器学习算法,通过考虑广泛变化的传感器信息和用户行为来识别烹饪过程。为了给用户提供适当的指导,我们开发了一种基于马尔可夫模型的行为预测算法。利用这些算法,我们开发了烹饪支持,根据用户的进度自动显示烹饪教学视频。实验和实验结果证实了我们提出的烹饪支持的可行性。
本文章由计算机程序翻译,如有差异,请以英文原文为准。
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