Inference for Single-Cell RNA Sequencing Data Following Latent Variable Estimation

Journal of Biometrics & Biostatistics

article

Andrews Rina¹ 

[1] Department of Biometrics, School of Science and Technology

关键词: Big Data Analytics;    Behaviometrics;    Binomial Regression;   

DOI  :  10.37421/-2155-6180.2023.14.146

来源: Hilaris Publisher

【 摘 要 】

A brand-new method for verifying mobile gait biometrics, safeguards thesubject's privacy while providing precise authentication results. Because of theparticular arm swing amplitude, step frequency, and length, it is unique to eachindividual. There are a number of ways to easily identify this trait. One of themcomes from Inertial Measurement Units (IMUs), such as accelerometers andgyroscopes, which allow mobile devices to use gait biometrics for authentication.The accelerometer's gait biometrics data were used in a cross-correlation andtemplate matching framework to achieve 7% of the Equal Error Rate (EER).Many researchers used this approach to propose new studies in the literature.The recent European Union's General Data Protection Regulation (GDPR) is oneexample of a concept that has been defined in numerous ways. "Any informationrelating to an identified or identifiable natural person" is the definition of personaldata in this. "racial or ethnic origin, political opinions, religious or philosophicalbeliefs, trade union membership, genetic data, biometric data for the purposeof uniquely identifying a natural person, health data or data concerning theindividual's sex life or sexual orientation" are all examples of sensitive data in thisset. It is against the law to use automated means to process these kinds of datafor any purpose at all without the explicit consent of the subject [1,2].

【 授权许可】

Unknown