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SIMILAR-CONDITION RETRIEVAL SYSTEM AND SIMILAR-CONDITION RETRIEVAL METHOD

机译:相似条件检索系统和相似条件检索方法

摘要

PPROBLEM TO BE SOLVED: To provide a similar condition-retrieval system which adequately recognizes a condition of an environment based on information from a plurality of sensors, and a similar condition-retrieval method thereof. PSOLUTION: Motion vectors are found at each prescribed time interval (for example, one second) based on acceleration data from sensor nodes 1-1 to 1-4 and are stored in a motion vector DB 23. Every time the motion vectors are found, similarities between the motion vectors and standard motion vectors stored in a standard motion vector DB 24 are found, and observation condition vectors with the similarity to the standard motion vectors are generated and stored with the time (an observation time) in an observation condition DB 26. A similar condition-retrieval module 27 compares the observation condition vectors thus generated with each of the observation condition vectors stored in the observation condition DB 26 and outputs high-similarity observation condition vectors and the observation time thereof as the retrieval result of the similar condition. PCOPYRIGHT: (C)2007,JPO&INPIT
机译:<要解决的问题:提供一种类似的状况检索系统,其基于来自多个传感器的信息来充分地识别环境的状况,及其类似的状况检索方法。

解决方案:基于来自传感器节点1-1至1-4的加速度数据,在每个指定的时间间隔(例如,一秒钟)找到运动矢量,并将其存储在运动矢量DB 23中。找到运动矢量和存储在标准运动矢量DB 24中的标准运动矢量之间的相似性,并生成与标准运动矢量相似的观察条件矢量,并将其与观察中的时间(观察时间)一起存储。条件DB26。类似条件检索模块27将这样生成的观察条件矢量与存储在观察条件DB 26中的每个观察条件矢量进行比较,并输出高相似度观察条件矢量及其观察时间作为检索结果。类似的情况。

版权:(C)2007,日本特许厅&INPIT

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