Driver Status Monitoring Using Statistical Methods and Artificial Intelligence Based on Body Movements and Facial Expressions

Result code in IS VaVaI

<a href="https://www.isvavai.cz/riv?ss=detail&h=RIV%2F61989100%3A27240%2F22%3A10251838" target="_blank" >RIV/61989100:27240/22:10251838 - isvavai.cz</a>

Result on the web

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DOI - Digital Object Identifier

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Result language

angličtina

Original language name

Driver Status Monitoring Using Statistical Methods and Artificial Intelligence Based on Body Movements and Facial Expressions

Original language description

In this report, we describe the work (method) that was carried out in the area of driver state monitoring. In fact, the method is based on detecting the particular parts of driver&apos;s body in the sequence of images obtained from an in-car camera. A feature vector containing the distances between the body parts and describing the situation in a chosen number of frames is computed and used for detection. For the detection itself, the neural network of the autoencoder type containing the LSTM units is used. The method is compared with some other methods; the results show that the method is useful. In the following text, the main ideas of this work are presented.

Czech name

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Czech description

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Type

V_souhrn - Summary research report

CEP classification

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OECD FORD branch

10201 - Computer sciences, information science, bioinformathics (hardware development to be 2.2, social aspect to be 5.8)

Project

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Continuities

N - Vyzkumna aktivita podporovana z neverejnych zdroju

Publication year

2022

Confidentiality

C - Předmět řešení projektu podléhá obchodnímu tajemství (§ 504 Občanského zákoníku), ale název projektu, cíle projektu a u ukončeného nebo zastaveného projektu zhodnocení výsledku řešení projektu (údaje P03, P04, P15, P19, P29, PN8) dodané do CEP, jsou upraveny tak, aby byly zveřejnitelné.

Number of pages

8

Place of publication

neuveden

Publisher/client name

Škoda Auto a.s.

Version

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