Machine Learning Techniques for Gait Biometric Recognition

Machine Learning Techniques for Gait Biometric Recognition

This book focuses on how machine learning techniques can be used to analyze and make use of one particular category of behavioral biometrics known as the gait biometric.

Author: James Eric Mason

Publisher: Springer

ISBN: 331929086X

Category: Technology & Engineering

Page: 223

View: 882

This book focuses on how machine learning techniques can be used to analyze and make use of one particular category of behavioral biometrics known as the gait biometric. A comprehensive Ground Reaction Force (GRF)-based Gait Biometrics Recognition framework is proposed and validated by experiments. In addition, an in-depth analysis of existing recognition techniques that are best suited for performing footstep GRF-based person recognition is also proposed, as well as a comparison of feature extractors, normalizers, and classifiers configurations that were never directly compared with one another in any previous GRF recognition research. Finally, a detailed theoretical overview of many existing machine learning techniques is presented, leading to a proposal of two novel data processing techniques developed specifically for the purpose of gait biometric recognition using GRF. This book · introduces novel machine-learning-based temporal normalization techniques · bridges research gaps concerning the effect of footwear and stepping speed on footstep GRF-based person recognition · provides detailed discussions of key research challenges and open research issues in gait biometrics recognition · compares biometrics systems trained and tested with the same footwear against those trained and tested with different footwear
Categories: Technology & Engineering

Machine Learning Techniques for Gait Biometric Recognition

Machine Learning Techniques for Gait Biometric Recognition

Recognition. Using. the. Footstep. Ground. Reaction. Force. The design of a gait-based biometric system is highly dependent on the aspect of gait being studied and may be limited by the tools available for study.

Author: James Eric Mason

Publisher: Springer

ISBN: 9783319290881

Category: Technology & Engineering

Page: 223

View: 962

This book focuses on how machine learning techniques can be used to analyze and make use of one particular category of behavioral biometrics known as the gait biometric. A comprehensive Ground Reaction Force (GRF)-based Gait Biometrics Recognition framework is proposed and validated by experiments. In addition, an in-depth analysis of existing recognition techniques that are best suited for performing footstep GRF-based person recognition is also proposed, as well as a comparison of feature extractors, normalizers, and classifiers configurations that were never directly compared with one another in any previous GRF recognition research. Finally, a detailed theoretical overview of many existing machine learning techniques is presented, leading to a proposal of two novel data processing techniques developed specifically for the purpose of gait biometric recognition using GRF. This book · introduces novel machine-learning-based temporal normalization techniques · bridges research gaps concerning the effect of footwear and stepping speed on footstep GRF-based person recognition · provides detailed discussions of key research challenges and open research issues in gait biometrics recognition · compares biometrics systems trained and tested with the same footwear against those trained and tested with different footwear
Categories: Technology & Engineering

Computational Intelligence in Sensor Networks

Computational Intelligence in Sensor Networks

... Munih, M.: Development and validation of a wearable inertial measurement system for use with lower limb exoskeletons. ... I., Woungang, I.: Machine Learning Techniques for Gait Biometric Recognition: Using the Ground Reaction Force.

Author: Bijan Bihari Mishra

Publisher: Springer

ISBN: 9783662572771

Category: Technology & Engineering

Page: 488

View: 854

This book discusses applications of computational intelligence in sensor networks. Consisting of twenty chapters, it addresses topics ranging from small-scale data processing to big data processing realized through sensor nodes with the help of computational approaches. Advances in sensor technology and computer networks have enabled sensor networks to evolve from small systems of large sensors to large nets of miniature sensors, from wired communications to wireless communications, and from static to dynamic network topology. In spite of these technological advances, sensor networks still face the challenges of communicating and processing large amounts of imprecise and partial data in resource-constrained environments. Further, optimal deployment of sensors in an environment is also seen as an intractable problem. On the other hand, computational intelligence techniques like neural networks, evolutionary computation, swarm intelligence, and fuzzy systems are gaining popularity in solving intractable problems in various disciplines including sensor networks. The contributions combine the best attributes of these two distinct fields, offering readers a comprehensive overview of the emerging research areas and presenting first-hand experience of a variety of computational intelligence approaches in sensor networks.
Categories: Technology & Engineering

Computer Information Systems and Industrial Management

Computer Information Systems and Industrial Management

Sensors 15, 932–964 (2015) Mason, James Eric, Traoré, Issa, Woungang, Isaac: Machine Learning Techniques for Gait Biometric Recognition. Springer, Cham (2016). https://doi.org/10.1007/978-3-319-29088-1 Matovski, D.S., Nixon, M.S., ...

Author: Khalid Saeed

Publisher: Springer Nature

ISBN: 9783030476793

Category: Computers

Page: 486

View: 290

This book constitutes the proceedings of the 19th International Conference on Computer Information Systems and Industrial Management Applications, CISIM 2020, held in Bialystok, Poland, in October 2020. Due to the COVID-19 pandemic the conference has been postponed to October 2020. The 40 full papers presented together with 5 abstracts of keynotes were carefully reviewed and selected from 62 submissions. The main topics covered by the chapters in this book are biometrics, security systems, multimedia, classification and clustering, industrial management. Besides these, the reader will find interesting papers on computer information systems as applied to wireless networks, computer graphics, and intelligent systems. The papers are organized in the following topical sections: biometrics and pattern recognition applications; computer information systems and security; industrial management and other applications; machine learning and high performance computing; modelling and optimization.
Categories: Computers

Dynamical Systems Modelling

Dynamical Systems  Modelling

Alaqtash, M., Sarkodie-Gyan, T., Yu, H., Fuentes, O., Brower, R., Abdelgawad, A.: Automatic classification of pathological gait pattern using ground reaction forces and machine learning algorithms. In: Proceedings of the 33rd Annual ...

Author: Jan Awrejcewicz

Publisher: Springer

ISBN: 9783319424026

Category: Mathematics

Page: 446

View: 164

The book is a collection of contributions devoted to analytical, numerical and experimental techniques of dynamical systems, presented at the international conference "Dynamical Systems: Theory and Applications," held in Łódź, Poland on December 7-10, 2015. The studies give deep insight into new perspectives in analysis, simulation, and optimization of dynamical systems, emphasizing directions for future research. Broadly outlined topics covered include: bifurcation and chaos in dynamical systems, asymptotic methods in nonlinear dynamics, dynamics in life sciences and bioengineering, original numerical methods of vibration analysis, control in dynamical systems, stability of dynamical systems, vibrations of lumped and continuous systems, non-smooth systems, engineering systems and differential equations, mathematical approaches to dynamical systems, and mechatronics.
Categories: Mathematics

Sensors for Gait Posture and Health Monitoring Volume 2

Sensors for Gait  Posture  and Health Monitoring Volume 2

Bouchrika, I.; Goffredo, M.; Carter, J.; Nixon, M. On using gait in forensic biometrics. ... Moustakidis, S.P.; Theocharis, J.B.; Giakas, G. Subject recognition based on ground reaction force measurements of gait signals. IEEE Trans.

Author: Thurmon Lockhart

Publisher: MDPI

ISBN: 9783039363445

Category: Medical

Page: 392

View: 270

In recent years, many technologies for gait and posture assessments have emerged. Wearable sensors, active and passive in-house monitors, and many combinations thereof all promise to provide accurate measures of physical activity, gait, and posture parameters. Motivated by market projections for wearable technologies and driven by recent technological innovations in wearable sensors (MEMs, electronic textiles, wireless communications, etc.), wearable health/performance research is growing rapidly and has the potential to transform future healthcare from disease treatment to disease prevention. The objective of this Special Issue is to address and disseminate the latest gait, posture, and activity monitoring systems as well as various mathematical models/methods that characterize mobility functions. This Special Issue focuses on wearable monitoring systems and physical sensors, and its mathematical models can be utilized in varied environments under varied conditions to monitor health and performance
Categories: Medical

Dynamics of Coupled Structures Volume 4

Dynamics of Coupled Structures  Volume 4

Middleton, L., Buss, A.A., Bazin, A., Nixon, M.S.: A floor sensor system for gait recognition. ... 1447–1460 (2010) Kohle, M., Merkl, D.: Identification of gait patterns with self-organizing maps based on ground reaction force.

Author: Matt Allen

Publisher: Springer

ISBN: 9783319297637

Category: Technology & Engineering

Page: 528

View: 450

Dynamics of Coupled Structures, Volume 4. Proceedings of the 34th IMAC, A Conference and Exposition on Dynamics of Multiphysical Systems: From Active Materials to Vibroacoustics, 2016, the fourth volume of ten from the Conference brings together contributions to this important area of research and engineering. Th e collection presents early findings and case studies on fundamental and applied aspects of Structural Dynamics, including papers on: • Experimental Dynamic Substructuring • Structural Coupling of Nonlinear Structures • Analytical/Numerical Modeling of Joints • Industrial Applications of Substructuring • Source Identifi cation & Transfer Path Analysis • Human Induced Vibrations • Damping & Friction
Categories: Technology & Engineering

IT Policy and Ethics Concepts Methodologies Tools and Applications

IT Policy and Ethics  Concepts  Methodologies  Tools  and Applications

To improve the performance of the recognition system, some form of machine learning may be used to simulate human ... capturing gait-related information which is impossible to capture using video sensors such as ground reaction force, ...

Author: Management Association, Information Resources

Publisher: IGI Global

ISBN: 9781466629202

Category: Technology & Engineering

Page: 2036

View: 453

IT policies are set in place to streamline the preparation and development of information communication technologies in a particular setting. IT Policy and Ethics: Concepts, Methodologies, Tools, and Applications is a comprehensive collection of research on the features of modern organizations in order to advance the understanding of IT standards. This is an essential reference source for researchers, scholars, policymakers, and IT managers as well as organizations interested in carrying out research in IT policies.
Categories: Technology & Engineering

Wearable Systems Based Gait Monitoring and Analysis

Wearable Systems Based Gait Monitoring and Analysis

C. Fang, Y. Wang, S. Gao, Flexible and wearable GRF and EMG sensors enabled locomotion mode recognition for IoHT based ... M. Lee, J. Ryu, I. Youn, Biometric personal identification based on gait analysis using surface EMG signals, ...

Author: Shuo Gao

Publisher: Springer Nature

ISBN: 9783030973322

Category: Biomechanics

Page: 244

View: 534

Wearable Systems Based Gait Monitoring and Analysis provides a thorough overview of wearable gait monitoring techniques and their use in health analysis. The text starts with an examination of the relationship between the human body's physical condition and gait, and then introduces and explains nine mainstream sensing mechanisms, including piezoresistive, resistive, capacitive, piezoelectric, inductive, optical, air pressure, EMG, and IMU-based architectures. Gait sensor design considerations in terms of geometry and deployment are also introduced. Diverse processing algorithms for manipulating sensors outputs to transform raw data to understandable gait features are discussed. Furthermore, gait analysis-based health monitoring demonstrations are given at the end of this book, including both medical and occupational applications. The book will enable students of biomedical engineering, electrical engineering, signal processing, and ergonomics and practitioners to understand the medical and occupational applications of engineering-based gait analysis and falling injury prevention methods. Provides students and practitioners with an overview of wearable gait monitoring techniques; Includes detailed insole sensor design considerations; Features engineering-based gait analysis methods.
Categories: Biomechanics

Biometrics under Biomedical Considerations

Biometrics under Biomedical Considerations

Based on the above analysis, better gait analysis would improve learning algorithms that maximizes the performance of the biometric legged locomotion machine! References 9. 10. 11. 12. 13. 14. 15. 16. 17. 18.

Author: Amine Nait-Ali

Publisher: Springer

ISBN: 9789811311444

Category: Technology & Engineering

Page: 280

View: 802

This book addresses biometrics from a biomedical engineering point of view. Divided into five sections, it discusses topics including the influence of pathologies on various biometric modalities (e.g. face, iris, fingerprint), medical and security biometrics, behavioural biometrics, instrumentation, wearable technologies and imaging. The final chapters also present a number of case studies. The book is suitable for advanced graduate and postgraduate students, engineers and researchers, especially those in signal and image processing, biometrics, and biomedical engineering.
Categories: Technology & Engineering