Here, we observed that subjects with lower identification accuracy (<; 70%) experienced fewer mood changes compared to the average (13.48), while all but one subject with high identification accuracy (>95%) experienced more mood changes compared to the average.
1) Could changes in an individual's mood have a signifi- cant impact on the performance of a mobile biometric system? 2) If so, do these changes affect ...
In this paper, we seek to understand the impact of changes in a person's mood on the performance of a mobile biometric system using a publicly available dataset ...
Nov 16, 2020 · In this paper, we seek to understand the impact of changes in a person’s mood on the performance of a mobile biometric system using a ...
The authors of [156] researched the influence that mood may have on the recognition accuracy rate of mobile biometric systems.
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Jun 27, 2019 · This paper explores the identification of smartphone users when certain samples collected while the subject felt happy, upset or stressed ...
Mood versus identity: Studying the influence of affective states on mobile biometrics. In 2020 15th IEEE International Conference on Automatic Face and ...
Jun 27, 2019 · Abstract:This paper explores the identification of smartphone users when certain samples collected while the subject felt happy, upset or ...
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Mood versus identity: studying the influence of affective states on mobile biometrics. 15th IEEE Intl. Conf. on Automatic Face and Gesture Recognition (2020).
Mar 14, 2022 · [14] T. Neal, S. Canavan, Mood versus identity: Studying the influence of affective states on mobile biometrics, in: 15th IEEE. Intl.