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智能手机识别人类行为
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Mobile-phone-behavior-recognition

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该数据集收集了19-48岁年龄段的30名志愿者在腰部佩戴某品牌的智能手机进行六项活动（步行、楼上步行、楼下步行、坐、站、躺）的数据。 训练集：共8000条数据 （约90MB），测试集：共1100条数据 （约10MB） 训练集： 其中的每一条记录，都提供了以下内容：来自加速度计的三轴加速度（总加速度）和估计的身体加速度、来自陀螺仪的三轴角速度、Activity（行为字段），总共是具有时域和频域变量的562个特征向量。 测试集： 其中的每一条记录，都提供了以下内容：来自加速度计的三轴加速度（总加速度）和估计的身体加速度、来自陀螺仪的三轴角速度，总共是具有时域和频域变量的561个特征向量（无Activity字段，需预测）。
natural language processing text categorization
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48 MiB
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2023-01-11 09:32:34
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