Personalized driver stress prediction using geographical databases
US6599243B2 · kind B2 · utility
Assignee
Inventors
Key dates
| Filing date | Nov 21, 2001 |
| Grant date | Jul 29, 2003 |
| Priority date | — |
| Expiry date | Nov 21, 2021 |
Classification
- Technology area (CPC B)Performing Operations; Transporting
- CPC primaryB60W2556/50
- WIPO fieldMedical technology
- WIPO sectorInstruments
Abstract
A system installed in a motor vehicle for inferring a vehicle operator's stress level from body sensors and from environmental data related to the position and operation of the vehicle. The system functions in a training phase using machine learning techniques to derive a model of an individual operators stress reaction to the environment in which the vehicle is operated and, using the results of this training phase, the system is subsequently used to predict stress levels to be expected when certain traffic conditions are imminent based on a projection of the driver's physiolocial state. The result of this prediction of stress level for the individual driver is used to control or warn the driver with respect to operation and scheduling of attention diverting devices such as cellular phones.
Source: USPTO / EPO open patent data. Objective bibliographic and citation counts.