アトラクタを用いた時系列データからの動作特徴の抽出

カテゴリ: 論文誌(論文単位)

グループ名: 【C】電子・情報・システム部門

発行日: 2012/06/01

タイトル(英語): Feature Extraction of Motion from Time-series Data by using Attractors

著者名: 秋月　拓磨（豊橋技術科学大学大学院工学研究科），章　忠（豊橋技術科学大学大学院工学研究科），今村　孝（豊橋技術科学大学大学院工学研究科），三宅　哲夫（豊橋技術科学大学大学院工学研究科）

著者名(英語): Takuma Akiduki (Graduate School of Science and Engineering, Toyohashi University of Technology), Zhong Zhang (Graduate School of Science and Engineering, Toyohashi University of Technology), Takashi Imamura (Graduate School of Science and Engineering, Toyohashi University of Technology), Tetsuo Miyake (Graduate School of Science and Engineering, Toyohashi University of Technology)

キーワード: アトラクタ，非線形力学系，慣性センサ　　Attractor，nonlinear dynamical systems，inertial sensor

要約(英語): In this paper, a new method of motion analysis using attractors in nonlinear dynamical systems is discussed. The attractor is defined as a set of spatially-expanded trajectories of time-series data of a human motion in a state space. Using the attractor representation in the state space, a method of feature extraction from time-series data of human motions is proposed. The time-series data of human motions are captured by wearable inertial sensors. First, a design method of a dynamical system, which encodes time-series data of motions in attractors, is introduced. Next, an example of feature extraction using our approach is demonstrated for a simple upper limb movement. Finally, the physical meaning of the extracted features is discussed. As a result, the extracted features by attractors can describe the characteristics of the human motion, such as posture and quickness, effectively in the spatiotemporal continuity feature space.

本誌: 電気学会論文誌C（電子・情報・システム部門誌） Vol.132 No.6 （2012） 特集：データ指向型モデリング/予測/制御

本誌掲載ページ: 975-982 p

原稿種別: 論文／日本語

電子版へのリンク: https://www.jstage.jst.go.jp/article/ieejeiss/132/6/132_975/_article/-char/ja/