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中文摘要
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描述(由申请人提供):该项目的主要目标是创建一个可公开访问的自然驾驶数据库,使用新方法来识别不安全的驾驶事件,并期望该方法也可以适用于更广泛的临床和实验用途。该项目将利用之前两个研究正常老化和痴呆症的真实驾驶的项目所获得的丰富知识和经验,一个项目在3年的纵向研究中采用了系列道路测试,另一个项目涉及一年多来研究的驾驶员与车载摄像机的自然记录。我们将使用来自第二项研究(N=103)NIA 2R01 #AG016335“认知受损老年人驾驶的自然主义评估”的大量基线和一年随访自然主义驾驶数字视频收集,无法完全手动审查。这些数据将使用新的和高度创新的计算机化分析车道偏离和未遂事件的方法进行重新分析,然后通过安全评级方法进行评分。该研究项目还将包括对老年驾驶员的自然驾驶数据进行二次分析, 没有认知障碍,将自然驾驶与先前的机动车事故史和道路测试分数进行比较。由此产生的书签视频和表格数据,包括人口统计,道路测试和认知测试信息,将是一个宝贵的自然驾驶资源,将被存档和传播,供其他研究人员在他们自己的研究中使用的老年司机。我们将通过国家老龄问题计算机化数据档案馆(NACDA)传播存档的自然数据,并在研究小组的网站和二次分析出版物上通知公众数据的可用性。通过对录像进行适当和彻底的去识别化,该数据档案将有助于使用由于难以获得此类数据以及所获得数据的敏感性而无法获得的数据。
英文摘要
DESCRIPTION (provided by applicant): The broad goal of this project is to create a publicly accessible naturalistic driving database, using novel methods to identify unsafe driving events, with the expectation that this methodology could also be adapted for more widespread clinical and experimental use. This project will leverage the wealth of knowledge and experience that has been gained from two previous projects examining real-world driving in normal aging and dementia, one employing serial road tests in a 3-year longitudinal study, the other involving naturalistic recordings of drivers with in-car video cameras studied over one year. We will use the large volume of baseline and one-year follow up digital video collection of naturalistic drivin from the second study (N=103), NIA 2R01 #AG016335, "Naturalistic assessment of driving in cognitively impaired elders," which could not be manually reviewed completely. The data will be re-analyzed in totality using new and highly innovative methods of computerized analysis of lane deviation and near miss events, and then scored by safety rating methods. This research project will also include secondary analyses of naturalistic driving data on older drivers with and without cognitive impairment comparing naturalistic driving to prior history of motor vehicle accidents and road test scores. The resulting bookmarked video and tabular data, including demographic, road test, and cognitive test information, will be a valuable naturalistic driving resource that will be archived and disseminated for other researchers to use in their own studies of older drivers. We will disseminate the archived naturalistic data through the National Archive of Computerized Data on Aging (NACDA) as well as notify the public of data availability on the research teams' websites and publications of secondary analyses. By proper and thorough de-identification of the video recordings, this data archive will facilitate the use of data that woul otherwise not be available due to the difficulty in obtaining such data as well as the sensitive nature of the data obtained.
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Gaze scanning by walking people with visual field loss
  • 批准号:
    10250313
  • 项目类别:
  • 资助金额:
    $23.89万
  • 财政年份:
    2020
  • 负责人:
    Gang Luo
  • 依托单位:
Using Computational Approaches to Optimize Asthma Care Management
  • 批准号:
    9750788
  • 项目类别:
  • 资助金额:
    $80.78万
  • 财政年份:
    2018
  • 负责人:
    Gang Luo
  • 依托单位:
Using Computational Approaches to Optimize Asthma Care Management
  • 批准号:
    10176558
  • 项目类别:
  • 资助金额:
    $77.57万
  • 财政年份:
    2018
  • 负责人:
    Gang Luo
  • 依托单位:
Using Computational Approaches to Optimize Asthma Care Management
  • 批准号:
    9982399
  • 项目类别:
  • 资助金额:
    $79.25万
  • 财政年份:
    2018
  • 负责人:
    Gang Luo
  • 依托单位:
海外基金