基于模拟疲劳驾驶检测的仿真实验教学平台

Simulation Experiment Teaching Platform Based on Simulated Fatigue Driving Detection

随着人工智能成为当今最热门的学科之一,诸多高校根据自身专业背景开设了人工智能本科专业作为工科专业,专业的开设不只是理论课的建设,高质量的实验教学平台更是重中之重。根据人工智能学科建设的实际需求,设计了一套基于模拟疲劳驾驶的面向人工智能专业本科生的实验教学平台,其中涉及到图像处理、智能监测和数据分析等一系列智能专业专业课所学知识,实验平台为学生提供硬件检测传感平台,包括图像、心率、体温、加速度等传感器,并为学生提供基于基础图像处理和生理信息检测分析的算法簇和软件界面。本门实验课程培养了学生底层智能监测设计和上层软件算法设计等能力,注重学生的理论知识积累,并增强了学生实际动手操作能力,在实践教学过程中取得了较好的效果。

The artificial intelligence( AI) had the rapid development in recent decades,and a great mount colleges or universities have established this curriculum with own academic background. However,the establishment of AI technology do not only rely on the establishment of lectures but also on the high-quality experimental teaching platform. According to the actual demand of AI discipline construction,a set of experiment teaching platform for AI undergraduates based on simulated fatigue driving is designed,which involves knowledge learned in a series of intelligent professional courses,such as image processing,intelligent monitoring and data analysis. The experimental platform provides students with hardware detection sensing platform including image,heart rate,body temperature,acceleration and other sensors,and provides students with algorithm clusters and software interface based on basic image processing and physiological information detection and analysis. This experimental course cultivates students’ abilites of the basic intelligent monitoring design and the advanced software algorithm design, etc., pays attention to the accumulation of theoretical knowledge and enhances student’ practical operation ability. It has achieved good results in the process of practical teaching.