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一个预处理管道从多式联动iMotion数据的学生计信号
Jingxiang Ong1, Wenjing He1, Princess Maglanque1
1Department of Surgery, University of Manitoba Max Rady College of Medicine, Winnipeg, MB R3E 0W2, Canada.
Sensors (Basel, Switzerland)
|August 14, 2025
概括
本研究提出了一个标准化的管道,用于在多式联络研究平台中预处理学生计数据. 开发的方法提高了数据质量,并将瞳孔直径与面部表情数据集成在一起,以进行可靠的分析.
科学领域:
- 多模式的人类性能研究研究.
- 认知科学和心理生理学.
背景情况:
- 瞳孔测量对于评估认知努力和注意力至关重要.
- 像iMotions这样的多模式研究平台整合了眼睛跟踪和面部表情数据.
- 在多模式研究中缺乏标准化瞳孔测量数据预处理.
研究的目的:
- 在iMotions平台上引入一个系统的管道,用于预处理学生计数据.
- 为应对多式调节瞳孔测量数据管理方面的挑战,包括时间错位和缺失的数据.
- 提高瞳孔测量数据的质量和与其他生理信号的整合.
主要方法:
- 使用 iMotions 软件开发了一个用于学生直径预处理的管道.
- 实现了文物删除,异常值检测 (中位数绝对偏差,移动平均值) 和数据插值 (块状立方赫米特插值多项式).
- 使用线性回归来计算平均瞳孔直径,然后进行正常化和整合面部表情数据.
主要成果:
- 管道有效降低噪音,并提高学生计数据的质量.
- 成功集成处理的瞳孔直径数据与面部表情数据集.
- 证明了数据可靠性的提高和对分析的关键信息的保存.
结论:
- 拟议的管道为多式联络研究中学生计量数据预处理提供了一种强大而有组织的方法.
- 这种方法促进了学生计量与其他数据流的无集成.
- 该管道提高了学生计数据在科学研究中的整体可靠性和实用性.
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