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Factors affecting identification of individuals by gait cycle Rohinish Gupta 10607 Introduction Gait Cycle The combined movement of limbs which results in locomotion Objective To study which parameters are important for human


  1. Factors affecting identification of individuals by gait cycle Rohinish Gupta 10607

  2. Introduction • Gait Cycle – The combined movement of limbs which results in locomotion • Objective – To study which parameters are important for human perception while identifying individuals by their walking style • Gait based recognition is an example of action specific biometric

  3. Previous work • Model-free – No representation of 3D structure – A shape is fitted on the silhouette data and parameters of this shape are analysed – Implicit model • Model-based – A body model is fit to every frame and parameters are analyzed – Explicit model

  4. Experiment • Collection of silhouette and skeletal data of five participants for two different view points • Identification of videos by another larger group using silhouette data • Computational analysis of parameters which may be important in identification using skeletal data

  5. Parameters under consideration • Height of subject • Ratio of lower body to upper body • Stride Length • Speed • Variation in Thigh angle • Movement of torso

  6. References • P. K. Larsen, N. Lynnerup, M. Henriksen, T. Alkjar and Erik B. Simonsen, “Gait Recognition Using Joint Moments, Joint Angles, and Segment Angles”, Journal of Forensic Biomechanics,2010 • Aaron Bobick, Amos Johnson, “Gait Recognition Using Static, Activity-Specific Parameters”, IEEE 2001 • Hu Ng , Wooi-Haw Tan, Hau-Lee Tong , Junaidi Abdullah, Ryoichi Komiya, “Extraction of Human Gait Features from Enhanced Human Silhouette Images”, IEEE 2009

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