Motif and Grammatical Inference-based Repetitive Activity Segmentation on Time Series

DOI

Bibliographic Information

Other Title
  • モチーフ発見と文法的推論に基づく繰り返し作業時系列のセグメンテーション方式

Abstract

<p>In order to analyze human motion data automatically, segmentation processing that extract basic actions that compose the motion important. In many conventional methods, We was extracting basic actions such as “stand up” and “walk” using a template. However, in this paper, we propose a segmentation method that extract basic action automatically and find a series of actions (called a cycle) that composed as a series of basic actions for actions that repeat the same action like factory work. The proposed method consists of a motif discovery process for finding repetitive similar subsequences, and a grammar inference process for symbolizing the motifs and extracting the arrangement pattern as a cycle. Then, we evaluated extraction rate of the basic action and cycle of the proposed method about packing work and the screw tightening work and we confirmed proposed method can extract mostly correct.</p>

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Details 詳細情報について

  • CRID
    1390848250119755264
  • NII Article ID
    130007857290
  • DOI
    10.11517/pjsai.jsai2020.0_4k3gs305
  • Text Lang
    ja
  • Data Source
    • JaLC
    • CiNii Articles
  • Abstract License Flag
    Disallowed

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