|
| | | | |
| | | |
| Stat |
Members: 3645
Articles: 2'501'711
Articles rated: 2609
19 April 2024 |
|
| | | | |
|
Article overview
| |
|
|
Identity Recognition in Intelligent Cars with Behavioral Data and LSTM-ResNet Classifier | | Michael Hammann
; Maximilian Kraus
; Sina Shafaei
; Alois Knoll
; | | Date: |
2 Mar 2020 | | Abstract: | Identity recognition in a car cabin is a critical task nowadays and offers a
great field of applications ranging from personalizing intelligent cars to suit
drivers physical and behavioral needs to increasing safety and security.
However, the performance and applicability of published approaches are still
not suitable for use in series cars and need to be improved. In this paper, we
investigate Human Identity Recognition in a car cabin with Time Series
Classification (TSC) and deep neural networks. We use gas and brake pedal
pressure as input to our models. This data is easily collectable during driving
in everyday situations. Since our classifiers have very little memory
requirements and do not require any input data preproccesing, we were able to
train on one Intel i5-3210M processor only. Our classification approach is
based on a combination of LSTM and ResNet. The network trained on a subset of
NUDrive outperforms the ResNet and LSTM models trained solely by 35.9 % and
53.85 % accuracy respectively. We reach a final accuracy of 79.49 % on a
10-drivers subset of NUDrive and 96.90 % on a 5-drivers subset of UTDrive. | | Source: | arXiv, 2003.0770 | | Services: | Forum | Review | PDF | Favorites | |
|
|
No review found.
Did you like this article?
Note: answers to reviews or questions about the article must be posted in the forum section.
Authors are not allowed to review their own article. They can use the forum section.
browser Mozilla/5.0 AppleWebKit/537.36 (KHTML, like Gecko; compatible; ClaudeBot/1.0; +claudebot@anthropic.com)
|
| |
|
|
|
|
News, job offers and information for researchers and scientists:
| |
REGISTER