Driver internal state estimative model for distracted state detection
| Autor: | Sakura Kadowaki, Momoyo Ito, Hirokazu Madokoro, Kazuhito Sato, Masafumi Sawataishi |
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| Rok vydání: | 2017 |
| Předmět: |
050210 logistics & transportation
0209 industrial biotechnology Computer science 05 social sciences Bayesian network 02 engineering and technology Steering wheel 020901 industrial engineering & automation Control theory Face (geometry) 0502 economics and business Brake Probability distribution State (computer science) Random variable |
| Zdroj: | SMC |
| DOI: | 10.1109/smc.2017.8123000 |
| Popis: | For this study, using Bayesian Network (BN) to graphically express the interrelationship between safety confirmation behaviors for driving scene and driver's internal state, we analyze correlations between characteristic body information (i.e., eye-gaze / face orientation) and operation information (i.e., steering wheel, accelerator, and brake), when switching from "concentrating state" to "distracted state". |
| Databáze: | OpenAIRE |
| Externí odkaz: |
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