Name
Title | ||
|---|---|---|
Aggregating physiological and eye tracking signals to predict perception in the absence of ground truth. |
Abstract | ||
|---|---|---|
Today's driving assistance systems build on numerous sensors to provide assistance for specific tasks. In order to not patronize the driver, intensity and timing of critical responses by such systems is determined based on parameters derived from vehicle dynamics and scene recognition. However, to date, information on object perception by the driver is not considered by such systems. With advances in eye-tracking technology, a powerful tool to assess the driver's visual perception has become available, which, in many studies, has been integrated with physiological signals, i.e., galvanic skin response and EEG, for reliable prediction of object perception. |
Year | DOI | Venue |
|---|---|---|
2017 | 10.1016/j.chb.2016.11.067 | Computers in Human Behavior |
Keywords | Field | DocType |
Eye tracking,Hazard perception,Physiological signals,Response aggregation,Eye tracking,Pupil dilation,ECG,Galvanic skin response | Computer vision,Pupillary response,Precision and recall,Psychology,Ground truth,Eye tracking,Vehicle dynamics,Artificial intelligence,Probabilistic logic,Perception,Visual perception | Journal |
Volume | ISSN | Citations |
68 | 0747-5632 | 4 |
PageRank | References | Authors |
0.46 | 15 | 4 |
Name | Order | Citations | PageRank |
|---|---|---|---|
| Enkelejda Kasneci | 1 | 202 | 33.86 |
| Thomas C. Kübler | 2 | 124 | 12.57 |
| Klaus Broelemann | 3 | 4 | 1.47 |
| Gjergji Kasneci | 4 | 2407 | 123.08 |