PROBLEM TO BE SOLVED: To provide a gait disorder automatic analysis system capable of easily performing measurement and quantitatively evaluating a gait disorder degree in clinical practice.SOLUTION: The gait disorder automatic analysis system includes: a gait motion measuring part 3 for measuring the gait motion of a subject 2 by motion sensors 31, 32 a gait motion tracking part 4 for obtaining a lower back track from the gait motion measured in the gait motion measuring part 3 a gait disorder feature extraction part 5 for extracting a gait disorder feature amount as a feature amount related to a gait disorder from the lower back track obtained in the gait motion tracking part 4 a gait disorder degree determination part 6 for determining the gait disorder degree of the subject 2 on the basis of the gait disorder feature amount extracted in the gait disorder feature extraction part 5 and a gait disorder learning part 7 for making the gait disorder degree determination part 6 learn the gait disorder degree of the subject 2 whose gait disorder degree is discriminated as learning data in association with the gait disorder feature amount. The gait disorder degree determination part 6 refers to the learning data to make a determination.COPYRIGHT: (C)2011,JPO&INPIT【課題】簡便に計測を行え、臨床現場で定量的に歩行障害度を評価できる歩行障害自動分析システムを提供する。【解決手段】本発明の歩行障害自動分析システムは、運動センサー31,32により被験者2の歩行運動を計測する歩行運動計測部3と、歩行運動計測部3で計測された歩行運動から腰軌道を求める歩行運動追跡部4と、歩行運動追跡部4で得られた腰軌道から歩行障害に係る特徴量としての歩行障害特徴量を抽出する歩行障害特徴抽出部5と、歩行障害特徴抽出部5で抽出された歩行障害特徴量に基づいて、被験者2の歩行障害度を判定する歩行障害度判定部6と、歩行障害度が判明している被験者2の歩行障害度を歩行障害特徴量と関連付けて学習データとして歩行障害度判定部6に学習させる歩行障害学習部7とを備え、歩行障害度判定部6は、学習データを参照して判定を行う。【選択図】 図1
