摘要
目的探究情绪和日常步态之间的关系,并考虑任务类型和个体差异对情绪-步态表现关系的影响。方法使用智能手机和相机等普及设备,在实验室环境中测量特定情绪下年轻人步行时的加速度步态和图像姿势参数,并在日常环境中验证基于步态的情绪评估系统的适用性。结果高唤醒情绪有较大的步频、加速度均方根、步速和较低的平均每步时间;低唤醒情绪有较低的步频、加速度均方根、步速和较大的平均每步时间。任务类型对情绪-步态表现关系的影响与情绪的唤醒程度相关。结论本研究建立了基于步态的情绪评估系统,为情绪的日常化识别、个体情绪的自我监测和管理提供了理论依据。
Objective This study investigated the relationship between emotions and daily gait parameters,and also explored the influence of task types and individual differences.Methods Smartphones and cameras were used to measure accelerometry-based and video-based gait parameters of young adults walking with specific emotions in the laboratory environment.In addition,the applicability of the gait-based emotion assessment system was verified in a daily environment.Results High arousal moods corresponded to increased step frequency,acceleration root mean square,step speed,and decreased step time,whereas low arousal moods were associated with reduced step frequency,acceleration root mean square,step speed,and increased step time.The effect of task type on the emotion-gait relationship was correlated with the level of emotional arousal.Conclusion This study established a gait-based emotion self-evaluation model,contributing to the theoretical understanding of daily emotion recognition,self-monitoring and management of individual emotions.
作者
范愉采
赖晓君
饶培伦
FAN Yu-cai;LAI Xiao-jun;RAO Pei-lun(Department of Industrial Engineering,Tsinghua University,Beijing 100084,China)
出处
《人类工效学》
2024年第4期55-62,67,共9页
Chinese Journal of Ergonomics
关键词
人机交互
产品设计
情绪
情绪识别
步态分析
用户体验
human-machine interaction
roduct design
emotion
emotion recognition
gait analysis
user experience