P04 - Stress Analysis in Drivers Using Wavelet Analysis

Event
SMSI 2023
2023-05-08 - 2023-05-11
Nürnberg
Band
Poster
Chapter
Poster
Author(s)
M. Bussas, C. Heidemann - Trout GmbH, Kassel (Germany)
Pages
288 - 289
DOI
10.5162/SMSI2023/P04
ISBN
978-3-9819376-8-8
Price
free

Abstract

The ability to acquire vital parameters and classify cognitive conditions opens doors to new technologies in diverse areas such as medical technology, automation, aerospace, fitness/wellness and security. For the statistical analysis of the measured ECG data, correlation coefficients and various hypothesis tests were used, which provide information about the correspondence between vital parameters and stress level. Furthermore, the theory of Krawchouk polynomials and the wavelet analysis based on it have been successfully applied.

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