已入深夜,您辛苦了!由于当前在线用户较少,发布求助请尽量完整地填写文献信息,科研通机器人24小时在线,伴您度过漫漫科研夜!祝你早点完成任务,早点休息,好梦!

Facial lower-region changes during high-intensity exercise as predictors of reduced arousal state

唤醒 心情 自感劳累评分 面部表情 血乳酸 心率 心理学 认知 医学 听力学 面部肌肉 相关性 运动强度 物理医学与康复 有氧运动 情绪状态简介 评定量表 劳累 方差分析 运动生理学 体育锻炼 自行车测力计 偏侧性 物理疗法 自感劳累
作者
Genta Ochi,Takeo Koyama,Keita Oneyama,Yumi Okamoto,Tomomi Fujimoto,Daisuke Sato,Koya Yamashiro
出处
期刊:Journal of Sports Sciences [Taylor & Francis]
卷期号:43 (24): 3095-3109
标识
DOI:10.1080/02640414.2025.2574109
摘要

This study examined whether changes in facial muscle movements during incremental exercise testing are associated with mood indicators related to executive function. Twenty-five male university students performed incremental cycle ergometer test. Facial expressions were recorded and analysed using Py-Feat to detect action units (AUs), while heart rate, blood lactate concentration, rating of perceived exertion (RPE), and a Two-Dimensional Mood Scale were measured. Generalised additive mixed models were used to examine the relationships between 16 AUs and physiological/psychological indicators, and correlation analysis to assess AU changes across exercise intensity transitions. Exercise intensity-dependent changes were observed in numerous AUs, with AU10 (upper lip raiser), AU17 (chin raiser), AU25 (lips part), and AU26 (jaw drop) demonstrating strong correlations with exercise load, heart rate, blood lactate concentration, and RPE (r = 0.314-0.631, all p < 0.05). During transitioning from moderate-to-high intensity, AU25 changes were significantly negatively correlated with arousal changes (r = -0.436, p = 0.029). These findings found facial expression changes, particularly AU25, to be reliable indicators of physiological and psychological responses during exercise. They also support the inverted-U hypothesis of arousal and highlight facial expression analysis as a promising non-invasive tool for exercise monitoring and cognitive function optimisation.
最长约 10秒,即可获得该文献文件

科研通智能强力驱动
Strongly Powered by AbleSci AI
科研通是完全免费的文献互助平台,具备全网最快的应助速度,最高的求助完成率。 对每一个文献求助,科研通都将尽心尽力,给求助人一个满意的交代。
实时播报
一一完成签到 ,获得积分10
5秒前
Explosion完成签到 ,获得积分10
8秒前
有钱完成签到,获得积分10
8秒前
10秒前
桐桐应助樱桃小贩采纳,获得10
10秒前
等意送汝发布了新的文献求助10
11秒前
flora完成签到 ,获得积分10
11秒前
14秒前
14秒前
16秒前
无限的寡妇完成签到,获得积分10
16秒前
我是老大应助俊逸绮玉采纳,获得10
20秒前
arizaki7发布了新的文献求助10
21秒前
孙kk完成签到,获得积分10
21秒前
Rita发布了新的文献求助30
23秒前
23秒前
zhou完成签到 ,获得积分10
23秒前
26秒前
cling完成签到 ,获得积分10
27秒前
樱桃小贩发布了新的文献求助10
28秒前
arizaki7完成签到,获得积分20
28秒前
科研通AI6.4应助乐观雪萍采纳,获得10
29秒前
29秒前
飞行雪融完成签到 ,获得积分10
29秒前
tjnksy完成签到,获得积分0
30秒前
Jasper应助yfpharm采纳,获得10
32秒前
NattyPoe发布了新的文献求助10
33秒前
33秒前
lucky完成签到 ,获得积分10
33秒前
孙kk发布了新的文献求助10
34秒前
35秒前
俊逸绮玉完成签到,获得积分10
38秒前
鸡毛菜应助gjww采纳,获得30
38秒前
liuerlong发布了新的文献求助10
39秒前
月是遗憾完成签到 ,获得积分10
40秒前
43秒前
orixero应助自然的铅笔采纳,获得10
43秒前
Rita完成签到,获得积分10
43秒前
成就念芹完成签到,获得积分10
45秒前
曈梦完成签到,获得积分10
45秒前
高分求助中
(应助此贴封号)【重要!!请各用户(尤其是新用户)详细阅读】【科研通的精品贴汇总】 10000
China Pluperfect I: Epistemology of Past and Outside in Chinese Art 520
Matrix Methods in Data Mining and Pattern Recognition Second Edition 510
Cosmos as Art Object: Studies in Plato's Timaeus and Other Dialogues 500
What is the Future of Psychotherapy in Digital Age? Technology, AI Bots, and Psychotherapy after Covid 444
Management and the Arts 310
Teaching Social and Emotional Learning in Physical Education 300
热门求助领域 (近24小时)
化学 材料科学 医学 生物 纳米技术 工程类 有机化学 化学工程 生物化学 计算机科学 内科学 物理 复合材料 催化作用 细胞生物学 无机化学 光电子学 物理化学 电极 基因
热门帖子
关注 科研通微信公众号,转发送积分 7633224
求助须知:如何正确求助?哪些是违规求助? 9207529
关于积分的说明 19747543
捐赠科研通 7202109
什么是DOI,文献DOI怎么找? 3274916
关于科研通互助平台的介绍 2436834
邀请新用户注册赠送积分活动 2271747