New Advances in Automatic Gait Recognition

Nixon, Mark S.; Carter, John N.; Shutler, Jamie D.; Grant, Michael

doi:10.1016/s1363-4127(02)00404-1

Cited by 38 publications

(19 citation statements)

References 34 publications

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“…The presented method differs significantly from the mainstream gait recognition research relying on computer vision [5][6][7] or sensors installed in the floor 13 identification using acceleration sensors. The person identification approach can be seen as reversal of the research attempts to recognize activities, e.g.…”

Section: Introductionmentioning

confidence: 96%

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Identifying people from gait pattern with accelerometers

et al. 2005

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Protecting portable devices is becoming more important, not only because of the value of the devices themselves, but for the value of the data in them and their capability for transactions, including m-commerce and m-banking. An unobtrusive and natural method for identifying the carrier of portable devices is presented. The method uses acceleration signals produced by sensors embedded in the portable device. When the user carries the device, the acceleration signal is compared with the stored template signal. The method consists of finding individual steps, normalizing and averaging them, aligning them with the template and computing cross-correlation, which is used as a measure of similarity. Equal Error Rate of 6.4% is achieved in tentative experiments with 36 test subjects.

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Section: Introductionmentioning

confidence: 96%

“…Automatic gait recognition has been studied as a behavioral biometric for about a decade 4 . Typically, vision based methods are used for gait recognition [4][5][6][7] . Generally, the performance of gait biometrics is lower than, e.g.…”

Section: Introductionmentioning

confidence: 99%

Identifying people from gait pattern with accelerometers

et al. 2005

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“…A good introductory reading about gait recognition can be found in [3,4,5]. An extensive review of the existing techniques is presented in [6].…”

Section: Features Extraction and Classificationmentioning

confidence: 99%

A Virtual Curtain for the Detection of Humans and Access Control

Barnich

Pierard

Droogenbroeck

2010

Advanced Concepts for Intelligent Vision Systems

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Biometrics has become a popular field for the development of techniques that aim at recognizing humans based upon one or more intrinsic physical or behavioral traits. In particular, many solutions dedicated to access control integrate biometric features like fingerprinting or face recognition. This paper describes a new method designed to interpret what happens when crossing an invisible vertical plane, called virtual curtain hereafter, at the footstep of a door frame. It relies on the use of two laser scanners located in the upper corners of the frame, and on the classification of the time series of the information provided by the scanners after registration.The technique is trained and tested on a set of sequences representative for multiple scenarios of normal crossings by a single person and for tentatives to fool the system. We present the details of the technique and discuss classification results. It appears that the technique is capable to recognize many scenarios which may lead to the development of new commercial applications.

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“…As tasked to do, we did indeed provide a fully automated system and used this to recognise subjects by the way they walked and in outdoor data too [85,92,105,110]. …”

Section: Human Id At a Distance: Gait Challengementioning

confidence: 99%

Automatic Gait Recognition for Human ID at a Distance

Nixon¹,

Carter²

2004

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Report Documentation PageForm Public reporting burden for the collection of information is estimated to average 1 hour per response, including the time for reviewing instructions, searching existing data sources, gathering and maintaining the data needed, and completing and reviewing the collection of information. Summary:Recognising people by their gait is a biometric of increasing interest. Now, analysis has progressed from evaluation by few techniques on small databases with encouraging results to large databases and still with encouraging results.The potential of gait as a biometric was encouraged by the considerable amount of evidence available, especially in biomechanics and literature.This report describes research within the Human ID ( The research reported herein has been sponsored in part by the United States Army through its EuropeanResearch Office

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New Advances in Automatic Gait Recognition

Cited by 38 publications

References 34 publications

Identifying people from gait pattern with accelerometers

Identifying people from gait pattern with accelerometers

A Virtual Curtain for the Detection of Humans and Access Control

Automatic Gait Recognition for Human ID at a Distance

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