Human gait recognition using extraction and fusion of global motion features

Arantes, Milene; Gonzaga, Adilson

doi:10.1007/s11042-010-0587-y

Cited by 18 publications

(18 citation statements)

References 2 publications

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“…In this work, we propose to determine the best family of wavelets that maintains the characteristics of human body movement in scale for each previously published model (SGW, SBW, SEW and SSW) (Arantes & Gonzaga, 2010,2011. Because each family of wavelets has distinct characteristics, applications of low-pass and high-pass filters will generate different discriminant features.…”

Section: Objectivesmentioning

confidence: 99%

“…Because each family of wavelets has distinct characteristics, applications of low-pass and high-pass filters will generate different discriminant features. For gait recognition improvements, we developed a fusion of human movement models using the framework proposed by Arantes and Gonzaga (Arantes & Gonzaga, 2010,2011, and the fusion model results will be compared with the previously published models to determine the best-suited model.…”

Section: Objectivesmentioning

confidence: 99%

“…Each WT performance is tested, taking into account the previously proposed framework for gait recognition (Arantes & Gonzaga, 2010, 2011, which was studied only for the Haar family.…”

Section: Wwwintechopencommentioning

confidence: 99%

“…We applied the algorithm proposed by Lam (Lam et al, 1992) for the silhouette skeletonization. This procedure generates the skeleton sequence class of global movements called SSW (Arantes & Gonzaga, 2010, 2011. We generated five complete models for each wavelet family:…”

Section: Movement Of the Contour And The Skeletonmentioning

confidence: 99%

“…Given this premise, a human being's gait can be understood as an important biometric characteristic. Arantes and Gonzaga (Arantes & Gonzaga, 2010,2011 have proposed a new framework for gait recognition called Global Body Motion (GBM). This framework was developed as a fusion of four models of human movement.…”

Section: Introductionmentioning

confidence: 99%

See 4 more Smart Citations

Using Wavelet Transforms for Dimensionality Reduction in a Gait Recognition Framework

Arantes¹,

Gonzaga²

2012

Wavelet Transforms and Their Recent Applications in Biology and Geoscience

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Section: Objectivesmentioning

confidence: 99%

Section: Objectivesmentioning

confidence: 99%

“…Each WT performance is tested, taking into account the previously proposed framework for gait recognition (Arantes & Gonzaga, 2010, 2011, which was studied only for the Haar family.…”

Section: Wwwintechopencommentioning

confidence: 99%

Section: Movement Of the Contour And The Skeletonmentioning

confidence: 99%

Section: Introductionmentioning

confidence: 99%

See 3 more Smart Citations

Using Wavelet Transforms for Dimensionality Reduction in a Gait Recognition Framework

Arantes¹,

Gonzaga²

2012

Wavelet Transforms and Their Recent Applications in Biology and Geoscience

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Human Identification Based on Gait and Soft Biometrics

Jangua

Marana²

2022

Intelligent Systems

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GEMINI: A Generic Multi-Modal Natural Interface Framework for Videogames

Teófilo

Nogueira

Silva

2013

Advances in Intelligent Systems and Computing

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Abstract. In recent years videogame companies have recognized the role of player engagement as a major factor in user experience and enjoyment. This encouraged a greater investment in new types of game controllers such as the WiiMote™, Rock Band™ instruments and the Kinect™. However, the native software of these controllers was not originally designed to be used in other game applications. This work addresses this issue by building a middleware framework, which maps body poses or voice commands to actions in any game. This not only warrants a more natural and customized user-experience but it also defines an interoperable virtual controller. In this version of the framework, body poses and voice commands are respectively recognized through the Kinect's built-in cameras and microphones. The acquired data is then translated into the native interaction scheme in real time using a lightweight method based on spatial restrictions. The system is also prepared to use Nintendo's Wiimote™ as an auxiliary and unobtrusive gamepad for physically or verbally impractical commands. System validation was performed by analyzing the performance of certain tasks and examining user reports. Both confirmed this approach as a practical and alluring alternative to the game's native interaction scheme. In sum, this framework provides a game-controlling tool that is totally customizable and very flexible, thus expanding the market of game consumers.

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Human gait recognition using extraction and fusion of global motion features

Cited by 18 publications

References 2 publications

Using Wavelet Transforms for Dimensionality Reduction in a Gait Recognition Framework

Using Wavelet Transforms for Dimensionality Reduction in a Gait Recognition Framework

Human Identification Based on Gait and Soft Biometrics

GEMINI: A Generic Multi-Modal Natural Interface Framework for Videogames

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