Example of window fusions at score level, for n = 3. s j is the original score (classifier output for each sample window), while s * l is the new score as a result of fusing n consecutive original scores.

Example of window fusions at score level, for n = 3. s j is the original score (classifier output for each sample window), while s * l is the new score as a result of fusing n consecutive original scores.

Source publication
Article
Full-text available
In this work, a novel Window Score Fusion post-processing technique for biometric gait recognition is proposed and successfully tested. We show that the use of this technique allows recognition rates to be greatly improved, independently of the configuration for the previous stages of the system. For this, a strict biometric evaluation protocol has...

Context in source publication

Context 1
... scores (classifier outputs, Figure 2), s j = s(F j /λ C ), of several n consecutive windows are fused to obtain the final output of the system ( Figure 6) as shown in Equation (1). ...

Similar publications

Article
Full-text available
Citation: Stauss, M.; Htay, H.; Kooman, J.P.; Lindsay, T.; Woywodt, A. Wearables in Nephrology: Fanciful Gadgetry or Prêt-à-Porter? Sensors 2023, 23, 1361. https://doi. Abstract: Telemedicine and digitalised healthcare have recently seen exponential growth, led, in part, by increasing efforts to improve patient flexibility and autonomy, as well as...

Citations

Article
The necessity for trustworthy and secure means of user identification has become critical in a society that is becoming more and more digital. The widespread use of biometric authentication has emerged as a possible answer to the hacker-proneness of conventional authentication techniques like passwords and PINs. Biometric authentication uses a person's distinctive physiological and behavioral traits to confirm their identity. "Biometric Authentication using Gait Recognition" is one such new and creative strategy.