Miniature ECG Acquisition and Processing for Stress assessment during Virtual Reality Applications
虚拟现实应用期间用于压力评估的微型心电图采集和处理
基本信息
- 批准号:531540-2018
- 负责人:
- 金额:$ 1.82万
- 依托单位:
- 依托单位国家:加拿大
- 项目类别:Engage Grants Program
- 财政年份:2018
- 资助国家:加拿大
- 起止时间:2018-01-01 至 2019-12-31
- 项目状态:已结题
- 来源:
- 关键词:
项目摘要
Virtual reality (VR) technologies have been applied as a professional training tool in a number of sectors.**Compared with traditional training methods in a real environment, VR training environments provide**significant advantages including, but not limited to, consistency across trainees, lower cost for reconfiguration**and upgrade, easy quantification of training results and efficiency. EXO (Operating as IVD Workforce Corp)**has been pioneering in this field, i.e. incorporating VR into the training curriculum for mission-critical**positions, such as nuclear power plant operators, riot-control police officers etc. One of the issues in**professional training for these mission-critical positions, both in physical and virtual environments, is the lack**of easy methods to assess the physical and psychological condition of trainees. Specifically, the level of mental**and physical stress cannot be accurately assessed during the training, making it difficult to ensure that the**simulated environment presents a similar level of stress to that encountered in the actual working environment**and scenario. This project aims at developing a wearable sub-system of EXO's current VR training system that**would allow real-time assessment of mental stress during training sessions, by acquisition and processing**electrocardiogram (ECG). The sub-system will be physically integrated with EXO's current head-mounted**display (HMD), and stress estimation algorithms will be light-weight in its computational requirement, so it**can be implemented in EXO's current embedded environment. The outcome of the current project will provide**a significant competitive advantage for EXO's VR training tool for missing critical personnel, as it can assess**the mental condition of the trainees in real-time, thus providing an added layer of information regarding the**effectiveness of VR training program, thereby maximizing the benefit of the VR training paradigm.
虚拟现实(VR)技术已在多个领域作为专业培训工具得到应用。**与真实的环境中的传统培训方法相比,VR培训环境提供了 ** 显着的优势,包括但不限于学员之间的一致性、更低的重新配置 ** 和升级成本、轻松量化培训结果和效率。EXO(作为IVD Workforce Corp运营)** 在这一领域一直处于领先地位,即将虚拟现实纳入关键任务 ** 职位的培训课程,如核电厂操作员,防暴警察等。这些关键任务职位的专业培训中的一个问题,无论是在物理环境还是虚拟环境中,缺乏简单的方法来评估受训人员的身心状况。具体而言,在培训期间无法准确评估精神 ** 和身体压力的水平,因此难以确保 ** 模拟环境与实际工作环境 ** 和情景中遇到的压力水平相似。该项目旨在开发EXO当前VR训练系统的可穿戴子系统,通过采集和处理 ** 心电图(ECG),** 可以在训练期间实时评估精神压力。该子系统将与EXO当前的头戴式显示器(HMD)物理集成,应力估计算法的计算需求将是轻量级的,因此它可以在EXO当前的嵌入式环境中实现。当前项目的成果将为EXO的VR培训工具提供重要的竞争优势,因为它可以实时评估受训者的精神状况,从而提供有关VR培训计划有效性的额外信息,从而最大限度地发挥VR培训模式的优势。
项目成果
期刊论文数量(0)
专著数量(0)
科研奖励数量(0)
会议论文数量(0)
专利数量(0)
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Jiang, Ning其他文献
High Bit Rate Fiber-Optic Transmission Using a Four-Chaotic-Semiconductor-Laser Scheme
使用四混沌半导体激光器方案的高比特率光纤传输
- DOI:
10.1109/lpt.2012.2194482 - 发表时间:
2012-06 - 期刊:
- 影响因子:2.6
- 作者:
Li, Nianqiang;Pan, Wei;Luo, Bin;Yan, Lianshan;Zou, Xihua;Jiang, Ning;Xiang, Shuiying - 通讯作者:
Xiang, Shuiying
The Impact of Data Vulnerability in Online Health Communities: An Institutional Assurance Perspective.
- DOI:
10.3389/fpsyg.2022.908309 - 发表时间:
2022 - 期刊:
- 影响因子:3.8
- 作者:
Gao, Wei;Wang, Huiling;Jiang, Ning - 通讯作者:
Jiang, Ning
Pathogen quantitative efficacy of different spike-in internal controls and clinical application in central nervous system infection with metagenomic sequencing.
- DOI:
10.1128/spectrum.01139-23 - 发表时间:
2023-12-12 - 期刊:
- 影响因子:3.7
- 作者:
Fu, Zhangfan;Ai, Jingwen;Zhang, Haocheng;Cui, Peng;Xu, Tao;Zhang, Yumeng;Zhang, Yi;Wu, Honglong;Shen, Ao;Lin, Ke;Zhang, Miaoqu;Qiu, Chao;Jiang, Ning;Zhou, Yang;Zhang, Wenhong - 通讯作者:
Zhang, Wenhong
Cathepsin K regulates the tumor growth and metastasis by IL-17/CTSK/EMT axis and mediates M2 macrophage polarization in castration-resistant prostate cancer.
组织蛋白酶 K 通过 IL-17/CTSK/EMT 轴调节肿瘤生长和转移并介导去势抵抗性前列腺癌中 M2 巨噬细胞极化
- DOI:
10.1038/s41419-022-05215-8 - 发表时间:
2022-09-22 - 期刊:
- 影响因子:9
- 作者:
Wu, Ning;Wang, YouZhi;Wang, KeKe;Zhong, BoQiang;Liao, YiHao;Liang, JiaMing;Jiang, Ning - 通讯作者:
Jiang, Ning
Multi-day dataset of forearm and wrist electromyogram for hand gesture recognition and biometrics.
- DOI:
10.1038/s41597-022-01836-y - 发表时间:
2022-11-30 - 期刊:
- 影响因子:9.8
- 作者:
Pradhan, Ashirbad;He, Jiayuan;Jiang, Ning - 通讯作者:
Jiang, Ning
Jiang, Ning的其他文献
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{{ truncateString('Jiang, Ning', 18)}}的其他基金
In-home cardiac monitoring system for cardiac patients during a pandemic such as COVID-19
COVID-19 等大流行期间心脏病患者的家庭心脏监测系统
- 批准号:
551988-2020 - 财政年份:2020
- 资助金额:
$ 1.82万 - 项目类别:
Alliance Grants
Signal Processing of Electromyography with Bayesian Framework for Next Generation Motion Integration Human Machine Interface
使用贝叶斯框架进行肌电图信号处理,用于下一代运动集成人机界面
- 批准号:
RGPIN-2016-04137 - 财政年份:2019
- 资助金额:
$ 1.82万 - 项目类别:
Discovery Grants Program - Individual
Mobile ECG device, data collection and information processing (mECG solution)
移动心电图设备、数据采集和信息处理(mECG解决方案)
- 批准号:
503545-2016 - 财政年份:2018
- 资助金额:
$ 1.82万 - 项目类别:
Collaborative Research and Development Grants
Feasibility and practical considerations of using steady-state-visual evoked potential to control an augmented virtual reality environment
使用稳态视觉诱发电位控制增强虚拟现实环境的可行性和实际考虑
- 批准号:
537768-2018 - 财政年份:2018
- 资助金额:
$ 1.82万 - 项目类别:
Engage Plus Grants Program
Signal Processing of Electromyography with Bayesian Framework for Next Generation Motion Integration Human Machine Interface
使用贝叶斯框架进行肌电图信号处理,用于下一代运动集成人机界面
- 批准号:
493013-2016 - 财政年份:2018
- 资助金额:
$ 1.82万 - 项目类别:
Discovery Grants Program - Accelerator Supplements
Mobile ECG device, data collection and information processing (mECG solution)
移动心电图设备、数据采集和信息处理(mECG解决方案)
- 批准号:
503545-2016 - 财政年份:2017
- 资助金额:
$ 1.82万 - 项目类别:
Collaborative Research and Development Grants
Signal Processing of Electromyography with Bayesian Framework for Next Generation Motion Integration Human Machine Interface
使用贝叶斯框架进行肌电图信号处理,用于下一代运动集成人机界面
- 批准号:
493013-2016 - 财政年份:2017
- 资助金额:
$ 1.82万 - 项目类别:
Discovery Grants Program - Accelerator Supplements
Electrode position optimization of a wearable SSVEP-based brain-computer interface for non-verbal population
针对非语言人群的基于 SSVEP 的可穿戴脑机接口的电极位置优化
- 批准号:
522312-2017 - 财政年份:2017
- 资助金额:
$ 1.82万 - 项目类别:
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人体运动综合测量系统
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RTI-2017-00099 - 财政年份:2016
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$ 1.82万 - 项目类别:
Research Tools and Instruments
Computational cognitive stress assessment using video measurements
使用视频测量进行计算认知压力评估
- 批准号:
503133-2016 - 财政年份:2016
- 资助金额:
$ 1.82万 - 项目类别:
Engage Grants Program
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