Analysis of athletes' psychometric data based on signal processing methods
Analysis of athletes' psychometric data based on signal processing methods
批准号:
485024-2015
负责人:
Zhang, XiaoPing
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:
2015
资助国家:
加拿大
项目状态:
已结题
起止时间:
2015-01-01 至 2016-12-31
中文摘要
RightBlue Labs是一家软件公司,开发的应用程序有助于体育组织、教练和运动员之间的信息收集、聚合和交流。具体的研究问题是开发一套信号和数据处理和模式识别工具来分析这些心理测量数据。我们打算开发一套分析算法来详细说明心理测量数据中隐藏的关系,并开发模型来预测运动员可能的疾病、受伤和倦怠风险(统称为疾病风险)。
英文摘要
RightBlue Labs is a software company and build apps that facilitate information collection, aggregation, and communication between sports organizations, coaches, and athletes. The specific research problem is to develop a set of signal and data processing and pattern recognition tools to analyze these psychometric data. We intend to develop a set of analytical algorithms to elaborate the hidden relationship in the psychometric data and develop models to forecast the possible illness, injury, and burnout risk in athletes (collectively known as "Ailment" risks).
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会议论文
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