Complex Interplay Between Emotional States and Gait Parameters: A Domain-Specific Investigation in Healthy Young Adults

This dataset contains spatiotemporal gait parameters and concurrent mood assessments from 16 healthy young adults across multiple sessions during an academic semester. Data were collected to examine relationships between naturally occurring mood states and walking characteristics, accounting for time-of-day variations and individual differences. For detailed protocol information, please refer to the published manuscript.Dataset Contents<b>gait_data.csv</b> (n=73 observations):Spatiotemporal parameters (temporal, spatial, phase organization)Gait variability measuresAnthropometric data<b>mood_data.csv</b> (n=67 observations):Individual emotion ratingsComposite affect scores<b>gait_mood_merged.csv</b> (matched observations):Combined dataset for direct analysis of mood-gait relationshipsTechnical NotesParticipant identifiers anonymizedTemporal relationships preserved through relative study daysSession timing (morning/afternoon) maintainedAll measurements standardized and quality-controlled

本数据集收录了16名健康青年成年人在一个学术学期内多次测试环节中采集的时空步态参数与同步情绪评估数据。本数据集的采集目标为探究自然状态下情绪状态与步行特征之间的关联，并考量日间时段差异与个体差异的影响。如需获取详细的实验流程说明，请参阅已发表的研究论文。

数据集内容
**gait_data.csv**（共73条观测数据）：涵盖时空步态参数（时域、空间域、步态相位组织特征）、步态变异性指标以及人体测量学数据。
**mood_data.csv**（共67条观测数据）：包含个体情绪评分与复合情绪得分。
**gait_mood_merged.csv**（匹配后的观测数据）：用于直接开展情绪-步态关联分析的合并数据集。

技术说明
- 所有参与者标识符均已完成匿名化处理
- 通过相对研究天数保留了时序关联信息
- 保留了测试时段（上午/下午）的记录
- 所有测量数据均经过标准化处理与质量管控