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Introduction

Financial technology, also known as fintech, has revolutionized the banking industry by providing innovative solutions to traditional financial services. One of the emerging trends in fintech is the use of biometric technologies, such as gait recognition, for enhanced security and authentication in banking transactions. Gait recognition is a biometric technology that analyzes an individual’s walking pattern to verify their identity. This technology has gained popularity in recent years due to its accuracy and convenience in providing secure access to banking services.

This thesis aims to explore the implementation of gait recognition technology in the banking sector and its impact on financial services. The research will investigate the advantages and limitations of using gait recognition for authentication in banking transactions, as well as the potential risks and challenges associated with this technology. By examining the current trends and developments in fintech and biometric authentication, this study seeks to provide valuable insights for financial institutions looking to adopt gait recognition technology in their operations.

Chapter 1: Introduction
1.1 Introduction
1.2 Background of study
1.3 Problem Statement
1.4 Objective of study
1.5 Limitation of study
1.6 Scope of study
1.7 Significance of study
1.8 Structure of the Thesis
1.9 Definition of Terms

Chapter 2: Literature Review
2.1 Overview of Financial technology
2.2 Biometric authentication in banking
2.3 Gait recognition technology
2.4 Adoption of biometric technologies in banking
2.5 Security and privacy concerns in fintech
2.6 Regulatory framework for biometric authentication
2.7 User acceptance of biometric authentication
2.8 Challenges in implementing gait recognition in banking
2.9 Case studies on gait recognition in financial services
2.10 Future trends in biometric authentication

Chapter 3: Research Methodology
3.1 Research design
3.2 Data collection methods
3.3 Sampling techniques
3.4 Data analysis techniques
3.5 Ethical considerations
3.6 Validity and reliability of the study
3.7 Research limitations
3.8 Research implications

Chapter 4: Discussion of Findings
4.1 Implementation of gait recognition in banking
4.2 Benefits of gait recognition technology
4.3 Challenges and risks of using gait recognition
4.4 User experience and acceptance
4.5 Security and privacy implications
4.6 Regulatory compliance
4.7 Cost and feasibility of gait recognition
4.8 Comparison with other biometric technologies

Chapter 5: Conclusion and Summary
5.1 Summary of key findings
5.2 Implications for the banking industry
5.3 Recommendations for future research
5.4 Conclusion

Thesis Overview on Financial technology and gait recognition in banking

Financial institutions are increasingly turning to technology to enhance security and improve customer experience. One of the latest trends in the banking industry is the adoption of biometric authentication methods, such as gait recognition, to verify the identity of customers. Gait recognition technology analyzes an individual’s walking pattern to authenticate their identity, providing a convenient and secure way to access banking services.

The aim of this thesis is to investigate the integration of gait recognition technology in the banking sector and evaluate its impact on financial services. By examining the literature on fintech, biometric authentication, and gait recognition, this study aims to provide a comprehensive overview of the benefits and challenges of using gait recognition in banking. The research will also explore user acceptance, security concerns, regulatory compliance, and the feasibility of implementing gait recognition in financial institutions.

The findings of this study will contribute to the existing body of knowledge on biometric authentication in banking and provide valuable insights for financial institutions looking to adopt gait recognition technology. By examining current trends and developments in fintech, this research aims to identify the opportunities and risks associated with implementing gait recognition in the banking industry.

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