Model of automotive cabin based on biometric identification technology
US12103435B2 · kind B2 · utility
Assignee
Inventors
Key dates
| Filing date | Apr 25, 2022 |
| Grant date | Oct 1, 2024 |
| Priority date | — |
| Expiry date | Jan 10, 2043 |
Classification
- Technology area (CPC B)Performing Operations; Transporting
- CPC primaryB60N2220/30
- WIPO fieldTransport
- WIPO sectorMechanical engineering
Abstract
In some embodiments, the present disclosure provides an algorithm for a data-driven intelligent adaptive model of an automobile cab based on a biometric identification technology. The algorithm includes the following steps: acquiring driving posture data, the driving posture data including driver information, automobile man-computer parameter information, and seat position information; building a feature extraction model of the driving posture data and screening feature vectors playing a significant role in predicting a seat position by the feature extraction model; building a prediction model of a comfortable seat position by a back propagation (BP) neural network and inputting the screened feature vectors to perform training on the prediction model; and inputting specific feature vectors to obtain the seat position information and accordingly adjust the seat position.
Source: USPTO / EPO open patent data. Objective bibliographic and citation counts.