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Computer vision system for tracking head and eye movement

Computer vision system for tracking head and eye movement
用于跟踪头部和眼睛运动的计算机视觉系统
批准号:
358958-2008
负责人:
Mann, Daniel
金额:
$3.85万
依托单位:
依托单位国家:
加拿大
项目类别:
Research Tools and Instruments - Category 1 (<$150,000)
财政年份:
2007
资助国家:
加拿大
项目状态:
已结题
起止时间:
2007-01-01 至 2008-12-31

项目摘要

项目成果

Mann, Daniel的其他基金

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中文摘要
翻译
农业导航系统在很短的时间内发生了巨大的变化。仅仅20年前,还没有成熟的导航设备可供商业使用。但最近几年,已经有了许多基于全球定位系统(GPS)技术的设备,从光条导航辅助设备(为驾驶员显示辅助导航信息)开始。目前,自动转向系统(为驾驶员进行转向校正)在加拿大农场变得越来越普遍。农民似乎不可避免地会获得越来越复杂的导航设备。目前的趋势是半自动和自动农业车辆。但这种快速的技术变化已经改变了农业车辆操作员所扮演的角色。需要人的因素来理解如何在这些新的人机系统中最好地利用操作员的能力。为了最好地了解操作员如何与农业机械互动,有必要跟踪操作员的头部和眼睛的运动。需要资金购买faceLab系统来跟踪头部和眼睛的运动。该设备能够在模拟器环境中或在移动的车辆中跟踪头部和眼睛的运动。系统分析所有数据,有效地提高研究人员的效率。
英文摘要
Agricultural guidance systems have changed dramatically over a short period.  Only two decades ago, there were no sophisticated navigation devices available commercially.  In recent years, there have been numerous devices based on global positioning system (GPS) technology beginning with "lightbar" navigation aids (that displayed supplemental navigation information for the driver).  Currently, auto-steer systems (that make steering corrections for the driver) are becoming common on Canadian farms.  It seems inevitable that increasingly-sophisticated navigation devices will be available to farmers.  The current trend is towards semi-autonomous and autonomous agricultural vehicles.  This rapid change in technology has changed the role to be played by the operator of an agricultural vehicle.  Human factors principles are needed to understand how to best utilize the capabilities of the human operator in these new human-machine systems.  To gain the best understanding of how the human operator interacts with agricultural machines, it is necessary to track head and eye movements of the operators. Funding is requested to purchase the faceLAB system for tracking head and eye movements.  This equipment is capable of tracking head and eye movements in either a simulator environment or in a moving vehicle.  Data are analzyed by the system, effectively making the researcher more efficient.
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Remote supervision of autonomous agricultural machines
  • 批准号:
    RGPIN-2018-05350
  • 项目类别:
    Discovery Grants Program - Individual
  • 资助金额:
    $3.93万
  • 财政年份:
    2022
  • 负责人:
    Mann, Daniel
  • 依托单位:
Remote supervision of autonomous agricultural machines
  • 批准号:
    RGPIN-2018-05350
  • 项目类别:
    Discovery Grants Program - Individual
  • 资助金额:
    $1.97万
  • 财政年份:
    2021
  • 负责人:
    Mann, Daniel
  • 依托单位:
Remote supervision of autonomous agricultural machines
  • 批准号:
    RGPIN-2018-05350
  • 项目类别:
    Discovery Grants Program - Individual
  • 资助金额:
    $1.97万
  • 财政年份:
    2020
  • 负责人:
    Mann, Daniel
  • 依托单位:
Remote supervision of autonomous agricultural machines
  • 批准号:
    RGPIN-2018-05350
  • 项目类别:
    Discovery Grants Program - Individual
  • 资助金额:
    $1.97万
  • 财政年份:
    2019
  • 负责人:
    Mann, Daniel
  • 依托单位:
国内基金
海外基金
基于SOPC的VisionTransformer模型AI推理系统实现研究
老年人群视障风险VISION管控模式构建与实证研究
  • 批准号:
    71974198
  • 项目类别:
    面上项目
  • 资助金额:
    48.5万元
  • 批准年份:
    2019
  • 负责人:
    王爱平
  • 依托单位: