Pattern recognition-based vehicle anti-fatigue driving intelligent steering wheel

Abstract

The invention relates to the fields of automotive electronics and artificial intelligence, and in particular discloses a pattern recognition-based vehicle anti-fatigue driving intelligent steering wheel and an anti-fatigue driving monitoring method. The intelligent steering wheel comprises a steering wheel shell (containing an alarm interrupt key), a steering wheel framework, an embedded system (containing a microprocessor, an application program and related algorithms which are solidified in an internal memory), a GPS module, an alarm, a transformer type sensor, a power supply system and an integrated circuit board. The steering wheel has the embedded system serving as a core, acquires the torque and voltage change of the steering wheel through the transformer type sensor, monitors a fatigue driving state by combining the pattern recognition and a sustained driving time parameter, and judges a parking or running state of the vehicle through the GPS data change so as to control the computation period of the sustained driving time. By using the steering wheel as a carrier, the pattern recognition-based vehicle anti-fatigue driving intelligent steering wheel has anti-fatigue driving monitoring function on the premise of not adding any facility, breaks through the research range of domestic video signal-based driver eye physiological characteristics, and improves the anti-fatigue driving practicability.

Description

technical field [0001] The invention relates to the fields of automotive electronics and artificial intelligence. Specifically disclosed are a vehicle anti-fatigue driving intelligent steering wheel based on pattern recognition and an anti-fatigue driving monitoring method thereof, which are used for safety detection and warning of a driver's fatigue driving state. Background technique [0002] Anti-fatigue driving technology is being researched abroad, and some products have been developed, but the vehicle needs to be modified or redesigned and the price is high. At present, some high-end cars are already in use. For example, the Driver Fatigue Monitor (DD850) launched by Attention Technologies in the United States collects driver eye information through an infrared camera, uses PERCLOS as a fatigue alarm indicator, and can be directly installed on the dashboard, but it is only effective at night, and eye information collection error Extremely large, it hardly works for pe...

AI Technical Summary

Problems solved by technology

Research in related fields mainly focuses on the physiological characteristics of the driver's eyes based on video signals, and there are still problems in the basic performance of various algorithms such as recognition accuracy, reliability, and real-time performance.

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