Harman Becker Automotive Systems Gmbh

Harman International Industries, Inc.

Andrey Viktorovich Filimonov

Ohad Akiva

Ivan Sergeevich Shishalov

Timothy Raymond VanGoethem

Dmitry Aleksandrovich Yashunin

Roman Dmitrievich Vlasov

Anzhela Grigorevna Burova

Vladimir Vladimirovich Kilyazov

Roman Aleksandrovich Ershov

Valeriya Alekseevna Demareva

Andrey Sergeevich Shilov

Sergey Valeryevich Shishanov

Anastasiya Sergeevna Filatova

Mikhail Sergeevich Sotnikov

Evgeny Pavlovich Burashnikov

Anton Sergeevich Devyatkin

Anastasiya Vladimirovna Bakhchina

Method for determining one or more heart beat features, the method comprising: capturing a series of visible light images of a face of a user by a visible light camera; capturing, during capturing the series of the visible light images, at least one infrared image of the face by an infrared camera; detecting, on the at least one infrared image, one or more first face landmarks indicative of a location of the face; locating one or more skin patches on the visible light image series; and determining one or more heart beat features based on the skin patches; characterized in that locating one or more skin patches comprises determining a position of the skin patches relative to the one or more first face landmarks.

System and method for determining heart beat features

System and computer-implemented method for determining a cognitive demand level of a user, the method comprising: recording, as a first training data subset, one or more first biosignals of a user, wherein the user is occupied with at least one first task, training an artificial neural network on a training dataset to determine a cognitive demand level indicative of cognitive demand the user is experiencing; recording one or more second biosignals of a user of a vehicle as an input dataset; and processing the input dataset by the trained artificial neural network to determine the cognitive demand level indicative of cognitive demand the user is experiencing.

System and method for determining cognitive demand

Computer-implemented method for determining coordinates of navigation key points indicative of road sign locations and/or turn points, the method comprising: collecting, as a first training data subset, one or more first images of a first camera comprised in a mobile device; obtaining, as a second training data subset, image-related coordinates of navigation key points related to the images of the first training data subset; supplying the first training data subset and the second training data subset to an artificial neural network as a training dataset; training the artificial neural network on the training dataset to predict image-related coordinates of navigation key points indicative of road sign locations and/or turn points; capturing a second image of a second camera as an input dataset, processing the input dataset by the artificial neural network to predict image-related coordinates of navigation key points indicative of road sign locations and/or turn points.

System and method for vehicle-mounted navigation key point localization

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Kamenki, Russia

Andrey Viktorovich Filimonov