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Evaluating Iris Scanning Technology to Link Data Related to Homelessness and Other Disadvantaged Populations with Mental Illness and Addiction

  • Cheryl ForchukEmail author
  • Lorie Donelle
  • Miriam Capretz
  • Fatima Bukair
  • John Kok
Conference paper
Part of the Lecture Notes in Computer Science book series (LNCS, volume 10898)

Abstract

The overall objectives of this research were to assess the functionality of iris scanning technology in a community setting and to evaluate the acceptability to shelter clients of using iris scanning as a form of identification. In order to assess the feasibility of implementing iris scanners in a shelter setting, the research team documented the number of people who agreed to be scanned, the number of people who declined, and the number of successful scans completed. The research team collected 200 scans over the course of 3 visits. A second iris scan was requested of 50 individuals to allow the research team to assess whether the technology accurately identifies someone over a period of time. The results indicate that most people found the technology acceptable, and that the number identifier was consistent over repeated scans.

Keywords

Iris scanning Biometrics Public acceptability Mental illness Addiction Homelessness Identification 

Notes

Acknowledgments

Would like to acknowledge the Salvation Army for facilitating the research environment. Also, we appreciate the commitment of the research assistants for data collection and auditing to make sure the quality of research is assured. Finally, we would like to thank the participants for their voluntary participation. We would also like to acknowledge the granting agency for making the funding available.

Conflicts of Interest:

The authors declare no conflict of interest.

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Copyright information

© Springer International Publishing AG, part of Springer Nature 2018

Authors and Affiliations

  • Cheryl Forchuk
    • 1
    • 2
    Email author
  • Lorie Donelle
    • 2
  • Miriam Capretz
    • 2
  • Fatima Bukair
    • 2
  • John Kok
    • 2
  1. 1.Lawson Health Research InstituteLondonCanada
  2. 2.Western UniversityLondonCanada

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