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Walking state learning method, walking state estimation method, road surface condition understanding method, device, and program

机译:步行状态学习方法,步行状态估计方法,路面状况理解方法,装置和程序

摘要

PROBLEM TO BE SOLVED: To accurately recognize a road surface condition according to a walking state of a user. SOLUTION: A series data extraction unit 26 extracts series data representing a series of output values from walking data in which output values of a sensor provided in a portable device 12 carried by a user are recorded together with a time stamp. The unit data extraction unit 28 extracts unit data, which is data in which the series data is divided into unit times, for each unit time from the series data. The label generation unit 30 assigns a label indicating the type of the user's walking state to each unit data based on the input annotation data in which the type of the walking state of the user is recorded in time series together with the time stamp. The learning unit 34 learns a learning model for estimating the label corresponding to the unit data based on each of the unit data and the label given for each unit data by the label generation unit 30. [Selection diagram] Fig. 1
机译:解决的问题:根据使用者的步行状态准确地识别路面状况。解决方案:系列数据提取单元26从步行数据中提取表示一系列输出值的系列数据,在步行数据中,将由用户携带的便携式设备12中提供的传感器的输出值与时间戳一起记录下来。单位数据提取单元28从序列数据中针对每个单位时间提取单位数据,该单位数据是将序列数据划分为单位时间的数据。标签生成单元30基于输入的注释数据将指示用户的步行状态的类型的标签分配给每个单位数据,在所述输入的注释数据中,用户的步行状态的类型与时间标记一起被记录。学习单元34学习用于基于标签生成单元30基于每个单位数据和针对每个单位数据给出的标签来估计与该单位数据相对应的标签的学习模型。[选择图]图1

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