DRIVER MONITORING SYSTEM (DMS) DATA MANAGEMENT

Techniques are disclosed to address issues related to the use of personalized training data to supplement machine learning trained models for Driver Monitoring System (DMS), and the accompanying mechanisms to maintain confidentiality of this personalized training data. The techniques disclosed herei...

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Hauptverfasser: Rosales, Rafael, Oliver, Dario, Guim bernat, Francesc, Alvarez, Ignacio J, Martinez-spessot, Cesar, Graefe, Ralf, Panneer, Selvakumar, Carranza, Marcos, Paulitsch, Michael
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creator Rosales, Rafael
Oliver, Dario
Guim bernat, Francesc
Alvarez, Ignacio J
Martinez-spessot, Cesar
Graefe, Ralf
Panneer, Selvakumar
Carranza, Marcos
Paulitsch, Michael
description Techniques are disclosed to address issues related to the use of personalized training data to supplement machine learning trained models for Driver Monitoring System (DMS), and the accompanying mechanisms to maintain confidentiality of this personalized training data. The techniques disclosed herein also address issues related to maintaining transparency with respect to collected sensor data used in a DMS. Additionally, the techniques disclosed herein facilitate the generation of a digital representation of a driver for use as supplemental training data for the DMS machine learning trained models, which allow for DMS algorithms to be tailored to individual users.
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subjects CALCULATING
COMPUTER SYSTEMS BASED ON SPECIFIC COMPUTATIONAL MODELS
COMPUTING
CONJOINT CONTROL OF VEHICLE SUB-UNITS OF DIFFERENT TYPE ORDIFFERENT FUNCTION
CONTROL SYSTEMS SPECIALLY ADAPTED FOR HYBRID VEHICLES
COUNTING
ELECTRIC COMMUNICATION TECHNIQUE
ELECTRICITY
HANDLING RECORD CARRIERS
PERFORMING OPERATIONS
PHYSICS
PRESENTATION OF DATA
RECOGNITION OF DATA
RECORD CARRIERS
ROAD VEHICLE DRIVE CONTROL SYSTEMS FOR PURPOSES NOT RELATED TOTHE CONTROL OF A PARTICULAR SUB-UNIT
TRANSPORTING
VEHICLES IN GENERAL
WIRELESS COMMUNICATIONS NETWORKS
title DRIVER MONITORING SYSTEM (DMS) DATA MANAGEMENT
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