Statistical Gait Analysis Based on the Microwave Doppler Sensor Data(Session 1a)

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概要

• 論文の詳細を見る

• A study on the human gait is important in the fields of the biometrics study and the sports/health managements for planning optimal trainings. Gait analysis is mainly based on motion capture system and video data. However, from the standpoint of gait recognition, motion capture system is distant idea for biometrics. Video camera based approach is the realistic way. However, video camera is highly visible in the monitoring environment. If the subjects notice the camera system, subjects may change the behavior. In this study, we focusing on the doppler sensor based gait recognition. The purpose of this study is human gait modeling and parameter estimation based on the doppler sensor system.

• 日本計算機統計学会の論文
• 2011-11-11

著者

• Kamakura Toshinari

  Facility Of Science And Engineering Chuo University

• Okusa Kosuke

  Graduate School Of Science And Engineering Chuo University

• Fukumoto Keisuke

  Graduate School of Science and Engineering, Chuo University

• Fukumoto Keisuke

  Graduate School Of Science And Engineering Chuo University

関連論文

• Feature Selection for Conditional Random Field Based on the Multivariate Time Series Data with Application to the Activity Recognition (Proceedings of Joint Meeting of the Korea-Japan Conference of Computational Statistics and the 25th Symposium of Japane
• Feature Selection for Conditional Random Field Based on the Multivariate Time Series Data with Application to the Activity Recognition(Session 3a)
• Statistical Gait Analysis Based on the Microwave Doppler Sensor Data(Session 1a)
• Statistical Heartbeat Pace Estimation Based on the Microwave Doppler sensor Data(Session 1a)

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