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CN106580245A - 一种车载安全测试眼动仪 - Google Patents

一种车载安全测试眼动仪 Download PDF

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Publication number
CN106580245A
CN106580245A CN201611188824.1A CN201611188824A CN106580245A CN 106580245 A CN106580245 A CN 106580245A CN 201611188824 A CN201611188824 A CN 201611188824A CN 106580245 A CN106580245 A CN 106580245A
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data
eye tracker
vehicle
driver
eye
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薛超
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Tianjin Media Star Technology Co Ltd
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Tianjin Media Star Technology Co Ltd
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    • A—HUMAN NECESSITIES
    • A61—MEDICAL OR VETERINARY SCIENCE; HYGIENE
    • A61B—DIAGNOSIS; SURGERY; IDENTIFICATION
    • A61B3/00—Apparatus for testing the eyes; Instruments for examining the eyes
    • A61B3/10—Objective types, i.e. instruments for examining the eyes independent of the patients' perceptions or reactions
    • A61B3/113—Objective types, i.e. instruments for examining the eyes independent of the patients' perceptions or reactions for determining or recording eye movement
    • A—HUMAN NECESSITIES
    • A61—MEDICAL OR VETERINARY SCIENCE; HYGIENE
    • A61B—DIAGNOSIS; SURGERY; IDENTIFICATION
    • A61B5/00—Measuring for diagnostic purposes; Identification of persons
    • A61B5/103—Measuring devices for testing the shape, pattern, colour, size or movement of the body or parts thereof, for diagnostic purposes
    • A61B5/11—Measuring movement of the entire body or parts thereof, e.g. head or hand tremor or mobility of a limb
    • A—HUMAN NECESSITIES
    • A61—MEDICAL OR VETERINARY SCIENCE; HYGIENE
    • A61B—DIAGNOSIS; SURGERY; IDENTIFICATION
    • A61B5/00—Measuring for diagnostic purposes; Identification of persons
    • A61B5/103—Measuring devices for testing the shape, pattern, colour, size or movement of the body or parts thereof, for diagnostic purposes
    • A61B5/11—Measuring movement of the entire body or parts thereof, e.g. head or hand tremor or mobility of a limb
    • A61B5/1126—Measuring movement of the entire body or parts thereof, e.g. head or hand tremor or mobility of a limb using a particular sensing technique
    • G—PHYSICS
    • G06—COMPUTING; CALCULATING OR COUNTING
    • G06V—IMAGE OR VIDEO RECOGNITION OR UNDERSTANDING
    • G06V40/00—Recognition of biometric, human-related or animal-related patterns in image or video data
    • G06V40/10—Human or animal bodies, e.g. vehicle occupants or pedestrians; Body parts, e.g. hands
    • G06V40/18—Eye characteristics, e.g. of the iris

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  • Health & Medical Sciences (AREA)
  • Life Sciences & Earth Sciences (AREA)
  • Engineering & Computer Science (AREA)
  • General Health & Medical Sciences (AREA)
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  • Animal Behavior & Ethology (AREA)
  • Veterinary Medicine (AREA)
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  • Biomedical Technology (AREA)
  • Heart & Thoracic Surgery (AREA)
  • Medical Informatics (AREA)
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  • Dentistry (AREA)
  • Physiology (AREA)
  • Oral & Maxillofacial Surgery (AREA)
  • Pathology (AREA)
  • Ophthalmology & Optometry (AREA)
  • Human Computer Interaction (AREA)
  • General Physics & Mathematics (AREA)
  • Multimedia (AREA)
  • Theoretical Computer Science (AREA)
  • Traffic Control Systems (AREA)

Abstract

本发明涉及一种车载安全测试眼动仪，主要用于驾驶过程中测试驾驶员的精神状态以保证行驶安全。本发明以认知心理学的理论为基础，通过眼动仪测试驾驶员的凝视模式，以对比算法完善数据库，在车载平台即时对比分析眼动数据与车载更新数据的视觉热点分布图，同时将服务器的分析结果及时反馈给驾驶员。本设备性价比高、使用简单方便，不需要用户进行专业培训。

Description

一种车载安全测试眼动仪
技术领域
本发明涉及一种车载安全测试眼动仪，主要用于驾驶过程中测试驾驶员的精神状态以保证行驶安全。
背景技术
人眼的视野大概在200°，绝大多数光感细胞位于视网膜上的中央凹(fovea)，它们是视觉的关键因素，也是大脑接受视觉信息的关键。当眼睛处于休息状态时，我们可以转移注意力但眼睛不移动。对中心凹视野监测通常是有效的判断注意力变化的手段，因为大脑通常无法处理中心凹以外的复杂刺激信息。实验证明，大脑在处理中心凹视觉信息时比外围视觉信息更有效率。因为大脑需要花更多的努力来理解模糊的视觉信息。所以可以通过跟踪眼部运动来解释人们的行为。
目前已经有一些应用于驾驶过程中的视觉信息搜索的眼动仪器，然而这些仪器都无法完成即时分析，而且仪器成本昂贵，需要专业人员进行繁琐的数据分析，使用条件苛刻、精确性差。
发明内容
本发明涉及一种车载安全测试眼动仪，主要用于驾驶过程中测试驾驶员的精神状态以保证行驶安全。
本发明首先以对比算法完善数据库，数据库来自于虚拟驾驶环境的数据采集。通过虚拟采集的方法，直接比较新老驾驶员的区别，完善老驾驶员的驾驶期间的眼动数据，并通过服务器上传到车载系统中，车载安全系统会定期更新以增加数据的精确性。而在车载平台，行驶安全性的判断主要取决于眼动数据与车载更新数据的视觉热点分布图的即时对比分析结果。
对比算法即为互信息的算法，步骤为一系列的内设方程如下：
g(x)＝(bоBocoB)(x)
对比算法的具体步骤为：
1.列举矩阵中的全部组合；
2.找出B组合中的最大值；
3.算出自然数的可能值；
4.重新分配组合的顺序
眼动仪采集的数据用矩阵的形式记录在服务器上。上述算式可以用于选择矩阵中最重要的行列。第一行方程定义了行U和行V之间的相同信息；第二行方程B定义了一套矩阵中的最大值，第三行是歌德数列，投影一个自然数，以联系最有可能的数据组合；最后一行为总方程，它给出了互信息的总和。
本设备可完成数据的即时分析和反馈，性价比高、使用简单方便，不需要用户进行专业培训。
附图说明
图1为本发明实施步骤图。
其中，灰色部分为新生数据收集。新的驾驶员的眼动数据被眼动仪采集，自动识别驾驶环境(天气，路况等)，然后新采集的眼动数据的热点分布图被系统收纳，并同之前存储好的数据对比。
黄色部分为对比结果显示：如果系统已知的安全数据和新数据不存在统计有效差别，那么结果将被纳入安全系数中(白色部分)；如果不安全，那么将被提示，并且重新进入灰色循环部分。
图2为新驾驶员与老驾驶员的视觉模式图。
具体实施方式
为了更好的理解本发明，下面结合具体实例对本发明进行进一步的描述。
如图2，在收集外界视觉信息的时候，面对熟悉路况和陌生路况时视觉模式是也完全不一样的。在一条专门的测试道上让驾驶员开6圈，上图通过视觉焦点时间显示，在陌生的路况中(第1和2圈，左图)，凝视点较为集中，时间较长，而且视觉停留在相对比较近的地方；当路况相对熟悉之后(3-6圈，右图)，视觉的停留时间比较短，而且朝更远的地方分布。
以对比算法完善数据库，数据库来自于虚拟驾驶环境的数据采集。通过虚拟采集的方法，直接比较新老驾驶员的区别，完善老驾驶员的驾驶期间的眼动数据，并通过服务器上传到车载系统中，车载安全系统会定期更新以增加数据的精确性。而在车载平台，行驶安全性的判断则根据眼动数据与车载更新数据的视觉热点分布图的即时对比分析结果。

Claims (3)

1.本发明涉及一种车载安全测试眼动仪，主要用于驾驶过程中测试驾驶员的精神状态以保证行驶安全，其特征在于：以认知心理学的理论为基础，通过眼动仪测试驾驶员的凝视模式，并以对比算法完善数据库，同时在车载平台即时对比分析眼动数据与车载更新数据的视觉热点分布图。
2.权利要求1所述的数据库，其特征在于：来自于虚拟驾驶环境的数据采集。
3.权利要求1所述对比算法，其特征在于：包括列举矩阵中的全部组合；找出B组合中的最大值；算出自然数的可能值；重新分配组合的顺序4个步骤。
CN201611188824.1A 2016-12-21 2016-12-21 一种车载安全测试眼动仪 Pending CN106580245A (zh)

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Cited By (1)

* Cited by examiner, † Cited by third party
Publication number Priority date Publication date Assignee Title
CN106960613A (zh) * 2017-05-26 2017-07-18 交通运输部公路科学研究所 非侵入式驾驶人潜在危险辨识能力评估与训练系统及方法

Citations (4)

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US20070286457A1 (en) * 2006-06-13 2007-12-13 Hammoud Riad I Dynamic eye tracking system
CN103680246A (zh) * 2013-12-17 2014-03-26 西南交通大学 基于视觉注意分配的驾驶安全性考核测评系统
CN103770733A (zh) * 2014-01-15 2014-05-07 中国人民解放军国防科学技术大学 一种驾驶员安全驾驶状态检测方法及装置
CN104484549A (zh) * 2014-11-06 2015-04-01 山东交通学院 一种基于驾驶员视觉注意机制的多任务驾驶安全状态辨识方法

Patent Citations (4)

* Cited by examiner, † Cited by third party
Publication number Priority date Publication date Assignee Title
US20070286457A1 (en) * 2006-06-13 2007-12-13 Hammoud Riad I Dynamic eye tracking system
CN103680246A (zh) * 2013-12-17 2014-03-26 西南交通大学 基于视觉注意分配的驾驶安全性考核测评系统
CN103770733A (zh) * 2014-01-15 2014-05-07 中国人民解放军国防科学技术大学 一种驾驶员安全驾驶状态检测方法及装置
CN104484549A (zh) * 2014-11-06 2015-04-01 山东交通学院 一种基于驾驶员视觉注意机制的多任务驾驶安全状态辨识方法

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Cited By (2)

* Cited by examiner, † Cited by third party
Publication number Priority date Publication date Assignee Title
CN106960613A (zh) * 2017-05-26 2017-07-18 交通运输部公路科学研究所 非侵入式驾驶人潜在危险辨识能力评估与训练系统及方法
CN106960613B (zh) * 2017-05-26 2019-07-02 交通运输部公路科学研究所 非侵入式驾驶人潜在危险辨识能力评估与训练系统及方法

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