Name
Abstract | ||
|---|---|---|
The aim of this paper is to develop signal processing based method to measure fatigue from motor behaviour. The advantages of this steering wheel movement approach are that obtaining steering data within driving is robust, non obtrusive, free from sensor application and calibration efforts. Applying methods of continuous wavelet transform (CWT) provides additional information regarding the dynamics and structure of steering behavior comparing to the commonly applied spectral Fourier transform features. |
Year | DOI | Venue |
|---|---|---|
2010 | 10.1145/1931344.1931368 | MB |
Field | DocType | Citations |
Computer vision,Harmonic wavelet transform,Steering wheel,Second-generation wavelet transform,Discrete wavelet transform,Artificial intelligence,Engineering,Stationary wavelet transform,S transform,Wavelet,Wavelet transform | Conference | 4 |
PageRank | References | Authors |
0.50 | 9 | 6 |
Name | Order | Citations | PageRank |
|---|---|---|---|
| Jarek Krajewski | 1 | 342 | 21.30 |
| Martin Golz | 2 | 46 | 10.68 |
| Sebastian Schnieder | 3 | 247 | 11.79 |
| Thomas Schnupp | 4 | 5 | 1.20 |
| Christian Heinze | 5 | 31 | 3.46 |
| David Sommer | 6 | 46 | 7.99 |