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公开(公告)号:US20210403004A1
公开(公告)日:2021-12-30
申请号:US17471411
申请日:2021-09-10
申请人: Intel Corporation
发明人: Ignacio J. Alvarez , Marcos Carranza , Ralf Graefe , Francesc Guim bernat , Cesar Martinez-spessot , Dario Oliver , Selvakumar Panneer , Michael Paulitsch , Rafael Rosales
摘要: 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.