Version 1
: Received: 10 February 2023 / Approved: 10 February 2023 / Online: 10 February 2023 (08:46:12 CET)
How to cite:
Nelufule, N.; Moolla, Y.; Ntshangase, S.; De Kock, A. Infant Biometric Data Acquisitions: The Lessons Learnt. Preprints2023, 2023020189. https://doi.org/10.20944/preprints202302.0189.v1
Nelufule, N.; Moolla, Y.; Ntshangase, S.; De Kock, A. Infant Biometric Data Acquisitions: The Lessons Learnt. Preprints 2023, 2023020189. https://doi.org/10.20944/preprints202302.0189.v1
Nelufule, N.; Moolla, Y.; Ntshangase, S.; De Kock, A. Infant Biometric Data Acquisitions: The Lessons Learnt. Preprints2023, 2023020189. https://doi.org/10.20944/preprints202302.0189.v1
APA Style
Nelufule, N., Moolla, Y., Ntshangase, S., & De Kock, A. (2023). Infant Biometric Data Acquisitions: The Lessons Learnt. Preprints. https://doi.org/10.20944/preprints202302.0189.v1
Chicago/Turabian Style
Nelufule, N., Sthembile Ntshangase and Anton De Kock. 2023 "Infant Biometric Data Acquisitions: The Lessons Learnt" Preprints. https://doi.org/10.20944/preprints202302.0189.v1
Abstract
Collecting relevant data is an important aspect in allowing evaluation of the performance of systems, methods, algorithms, and techniques developed in the research process. Researchers at the South African Scientific and Industrial Research Council perfoemd a study to identify biometric(s) that can be used to identify and verify young children from birth to 16 years old. Three types of biometrics were considered in this study as a resukt of a comprehensive preliminary research, namely, fingerprins, iris and ear shap. This paper presents challenges identified and lessons learned during the in trying to collect data for scientific research that require interaction with children of different ages and their parents in different environments. . The study is primarily based on researcher’s experiences. Some of the discussion points discussed are of global relevance to children and general human beings, while others relate to South Africa in particular. The discussion aims to share knowledge and experience, hoping that this will help researchers prepare for a trouble-free child data collection process in the future. Keywords: Baby biometrics; long-term data collection, baby fingerprints, baby iris, baby ears
Computer Science and Mathematics, Data Structures, Algorithms and Complexity
Copyright:
This is an open access article distributed under the Creative Commons Attribution License which permits unrestricted use, distribution, and reproduction in any medium, provided the original work is properly cited.
