e.g. mhealth
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The AFD algorithm is based on the quick change detection algorithm proposed in the study by Perera et al [37] for intrusion detection based on mobile behavior biometrics. In this work, the algorithm is redesigned for the AFD task. The algorithm is based on calculating a new score from the cumulative sum of previous events (keystroke sessions). If the participant is in a rested state (gray lines in Figure 5), the cumulative sum will be almost 0.
JMIR Biomed Eng 2022;7(2):e41003
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Bivariate associations of participants’ perception of biometrics and acceptability of the fingerprint technology system (N=300).
a Not available.
b Pearson chi-square test.
Determinants of acceptability of the fingerprint biometric system (N=300).
a UOR: unadjusted odds ratio.
b AOR: adjusted odds ratio.
c Pearson chi-square test.
J Med Internet Res 2021;23(12):e28958
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Biometrics will be used to correctly identify participants, track repeat visits, and protect subject privacy and information. There will be a tablet connected via Universal Serial Bus (USB) to a biometric (fingerprint) scanner at the mobile events and during follow-up visits. This technology will be used to track uptake of services and to exclude individuals who try to enroll multiple times.
JMIR Res Protoc 2017;6(3):e22
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