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Biometric approaches to inferring pilot trainee's affective and cognitive states

Biometric approaches to inferring pilot trainee's affective and cognitive states
推断飞行员受训者的情感和认知状态的生物识别方法
批准号:
514052-2017
负责人:
Zeng, Yong
金额:
$14.5万
依托单位:
依托单位国家:
加拿大
项目类别:
Collaborative Research and Development Grants
财政年份:
2018
资助国家:
加拿大
项目状态:
已结题
起止时间:
2018-01-01 至 2019-12-31

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中文摘要
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英文摘要
Flight safety requires effective pilot training, which aims to equip pilot trainees with the capabilities to make correct decisions in different flight scenarios. The effectiveness of pilot training depends largely on an instructor's ability to maintain a detailed awareness of the training situation. Armed with this information, instructors can adapt a student's training to his/her specific needs in order to maximize the training benefits. This awareness relies on the quantification of pilot trainee's cognitive (thinking) and affective (emotion/feeling) states in relation to decision making and performance.**Human cognitive/affective states can be inferred from biometric data. For instance, brain waves and eye movements can measure cognitive states. Mental workload can be estimated from brain wave measurement, pupil diameter, skin conductance, cardiac measures and respiration rate. Affective state such as mental stress and other emotions can be inferred from body movements, facial expressions, and other biometric data. The objective of this proposed project is to develop biometric approaches for the quantification of pilot trainee's cognitive and affective states during the pilot training process. The deliverable from this proposed**project will be an integrated solution to quantify pilot trainee's cognitive and affective states. As a result, a novel framework will be developed to bring advanced biometric measurement technologies and algorithms from the laboratory setting into the simulator-based pilot training environment. This framework can be easily extended to other complex yet critical field applications such as medical and military mission training. This proposed project team will include three universities: Concordia University, University of Montreal, and McGill University, an national research lab: National Research Council Canada, three companies: CAE, Marivent, and GlobVision, and one research consortium: CRIAQ (Consortium for Research and Innovation in Aerospace in Québec).
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AdaptiveCAD: Shifting CAD Paradigm for Innovative and Creative Design
  • 批准号:
    RGPIN-2019-07048
  • 项目类别:
    Discovery Grants Program - Individual
  • 资助金额:
    $3.35万
  • 财政年份:
    2022
  • 负责人:
    Zeng, Yong
  • 依托单位:
AdaptiveCAD: Shifting CAD Paradigm for Innovative and Creative Design
  • 批准号:
    RGPIN-2019-07048
  • 项目类别:
    Discovery Grants Program - Individual
  • 资助金额:
    $3.35万
  • 财政年份:
    2021
  • 负责人:
    Zeng, Yong
  • 依托单位:
AdaptiveCAD: Shifting CAD Paradigm for Innovative and Creative Design
  • 批准号:
    RGPIN-2019-07048
  • 项目类别:
    Discovery Grants Program - Individual
  • 资助金额:
    $3.35万
  • 财政年份:
    2020
  • 负责人:
    Zeng, Yong
  • 依托单位:
Biometric approaches to inferring pilot trainee's affective and cognitive states
  • 批准号:
    514052-2017
  • 项目类别:
    Collaborative Research and Development Grants
  • 资助金额:
    $14.55万
  • 财政年份:
    2020
  • 负责人:
    Zeng, Yong
  • 依托单位:
国内基金
海外基金
Lagrangian origin of geometric approaches to scattering amplitudes
  • 批准号:
    24ZR1450600
  • 项目类别:
    省市级项目
  • 资助金额:
    --
  • 批准年份:
    2024
  • 负责人:
    ALEXANDER OCHIROV
  • 依托单位: