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Big data analytics for stimulation and response models in gaming and virtual training simulations

Big data analytics for stimulation and response models in gaming and virtual training simulations
游戏和虚拟训练模拟中的刺激和反应模型的大数据分析
批准号:
461759-2013
负责人:
McGregor, Carolyn
金额:
$1.82万
依托单位国家:
加拿大
项目类别:
Engage Grants Program
财政年份:
2013
资助国家:
加拿大
项目状态:
已结题
起止时间:
2013-01-01 至 2014-12-31

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中文摘要
翻译
IFTech是一家IT研发公司,专注于ARAIG的设计和商业化,ARAIG是一种感官沉浸式可穿戴技术,旨在为佩戴者提供感官签名。ARAIG是第一个多传感器、多方向、力反馈设备。ARAIG基于在一系列媒体环境中发生的情况和/或交互来与用户交互以增加他们的沉浸感。在虚拟世界中发生的媒体环境、活动和互动,将转化为有形的感官刺激。用户通过他或她提高的敏感度变得更了解虚拟世界。ARAIG的消费市场包括娱乐业(视频游戏和电影)、严肃游戏和模拟(军事、警察、消防员等)、医疗(康复、监测等)。和增强的意识(如危险环境等)。ARAIG最初的目标市场是视频游戏以及严肃的游戏和模拟行业。目前,IFTech缺乏大数据分析和知识发现方面的专业知识,无法创建一个框架来支持对发送给佩戴者的传感器信号的分析,以及对测量生理反应的传感器信号的分析,以使他们能够创建稳健的结果指标,以证明参与者在休闲游戏或严肃游戏中提高了参与度。创建一个框架,以支持在娱乐游戏环境以及军事和执法战术训练的严肃游戏环境中使用传感器数据的大数据分析,这是一项创新技术,将极大地提高ARAIG的竞争力。
英文摘要
IFTech is an IT R&D company with a business focus on the design and commercialization of ARAIG which is a sensory immersive wearable technology designed to provide sensory signatures to the wearer. ARAIG is the first multi-sensory multidirectional, force feedback device. ARAIG interacts with the user to increase their immersion based on the situation and/or interactions occurring within a range of media environments. The media environment, activities and interaction taking place in the virtual world, will translate into tangible sensory stimulations. The user becomes more aware of the virtual world through his or her heightened sensitivity. ARAIG's consumer markets consist of the Entertainment Industry (video games and movies), serious games and simulations (military, police, firefighter, etc.), medical (rehabilitation, monitoring, etc.) and augmented awareness (eg hazardous environments, etc.). ARAIG's initial target markets are the video games and serious games and simulations industries. At present, IFTech lack expertise in Big Data analytics and knowledge discovery to create a framework to support the analysis of the sensor signals sent to the wearer together with the analysis of sensor signals measuring the physiological response to enable them to create robust result metrics to demonstrate the improved engagement within either the recreational game or serious game by the participant. Creating a framework to support Big Data analytics of sensor data when used both in the recreational game setting as well as the serious game setting for military and law enforcement tactical training represents an innovative technique that will greatly enhance the competitiveness of ARAIG.
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Canada Research Chair in Health Informatics
Canada Research Chair in Health Informatics
Canada Research Chair in Health Informatics
国内基金
海外基金
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Data-driven Recommendation System Construction of an Online Medical Platform Based on the Fusion of Information
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  • 批准号:
    72101261
  • 项目类别:
    青年科学基金项目(C类)
  • 资助金额:
    30.0万元
  • 批准年份:
    2021
  • 负责人:
    孙韬
  • 依托单位:
Development of a Linear Stochastic Model for Wind Field Reconstruction from Limited Measurement Data
  • 批准号:
    --
  • 项目类别:
    --
  • 资助金额:
    40万元
  • 批准年份:
    2020
  • 负责人:
    Vikrant Gupta
  • 依托单位: