Grand Challenge Data Collection

The CMU Multi-Modal Activity Database (CMU-MMAC) database contains multimodal measures of the human activity of subjects performing the tasks involved in cooking and food preparation. The CMU-MMAC database was collected in Carnegie Mellon's Motion Capture Lab. A kitchen was built and to date twenty-five subjects have been recorded cooking five different recipes: brownies, pizza, sandwich, salad, and scrambled eggs.

CMU 多模态活动数据库（CMU-MMAC）收录了参与烹饪与食物准备任务的受试者的多模态活动度量。该数据库由卡内基梅隆大学的动作捕捉实验室收集而成。实验室内构建了一间厨房，迄今为止，已对二十五名受试者进行了烹饪五种不同食谱的记录：布朗尼、比萨、三明治、沙拉和炒鸡蛋。

搜集汇总

背景与挑战

背景概述

Grand Challenge Data Collection（也称为CMU-MMAC Database）是由卡内基梅隆大学收集的多模态人类活动数据集，专注于烹饪和食物准备任务，包含25名受试者制作5种不同食谱（如布朗尼、披萨）的运动捕捉数据。该数据集开放访问，采用公共领域许可，涉及多个机构合作，适用于计算机科学和工程等领域的研究。