Data · dataset · 2014
Stability Scores for Dataruns
Listed in DataCite
The stability score index, conceptualized in 2013, was designed to address the weaknesses of the zoo menagerie and other performance metrics by quantifying the relative stability of a user from on condition to another.
Description
In this paper, the measure of interoperability is the stability score from enrolling on one sensor and verifying on multiple sensors. The results showed that like performance, individual performance were not stable across these sensors.
When examining stability by sensor family (capacitance, optical and thermal) we find that capacitive as the enrollment sensor were the least stable. Both enrolling and verifying on a thermal sensor, individuals were the most stable of the three family types. With respect to interaction type, enrolling on touch and verifying on swipe was more stable than enrolling on swipe and verifying on swipe, which was an interesting finding.
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Individuals using the thermal sensor generated the most stable stability scores. The stability score is described in detail in Kevin O'Connor's dissertation: docs.lib.purdue.edu/dissertations/AAI1544463/
Links
Where it is published
- Repository landing page figshare.com/articles/dataset/Stability_Scores_for_Dataruns/1265263 ↗
landing page · from DataCite
- DOI doi.org/10.6084/m9.figshare.1265263 ↗
DOI / persistent id · from DataCite
Documentation and papers
Catalogue records · 2
- DataCite API api.datacite.org/dois/10.6084/m9.figshare.1265263 ↗
metadata API · from DataCite
- DataCite Commons commons.datacite.org/doi.org/10.6084/m9.figshare.1265263 ↗
catalogue entry · from DataCite
Topics
- Stated by source
- Computer and information sciences
Provenance · 1 source records, 9 field assertions
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|---|---|---|---|
| DataCite | 10.6084/m9.figshare.1265263 | 12 d ago | JSON v1 |
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