A novel temporal adaptive fuzzy neural network for facial feature based fatigue assessment

计算机科学 特征(语言学) 人工智能 人工神经网络 模糊逻辑 模式识别(心理学) 机器学习 哲学 语言学
作者
Zhimin Zhang,Hongmei Wang,Qi You,Liming Chen,Huansheng Ning
出处
期刊:Expert Systems With Applications [Elsevier BV]
卷期号:: 124124-124124
标识
DOI:10.1016/j.eswa.2024.124124
摘要

When engaging in activities such as using video display terminals, driving, or sports, effective fatigue monitoring is crucial. Nevertheless, obtaining biological information through contact devices may interfere with normal activities. Deterministic expressions in mainstream machine learning have limitations in reflecting the continuous, dynamic, and fuzzy process of fatigue status. Additionally, fatigue is a cumulative process where the previous state impacts the assessment of the current one. To address these needs and challenges, this paper proposes a novel model based on facial videos called the temporal adaptive fuzzy neural network (TAFNN) for fatigue assessment. TAFNN utilizes an adaptive fuzzy neural network as its foundation and employs causal and dilated convolutions for the time information processing method to achieve time series extraction and fatigue assessment. It leverages facial physiological and motion features to minimize interference during assessment. Furthermore, TAFNN introduces a new calculation method for rule antecedents to enhance stability. Experimental results demonstrate that TAFNN effectively captures the cumulation and fuzziness of state changes, outperforming other widely adopted methods in both assessment ability and runtime performance. The improved rule antecedent calculation method successfully mitigates the issue of multiple memberships rapidly approaching zero after combination. Through 1000 repeated experiments, the enhanced method reduces TAFNN's instability by 81.58%.
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
更新
PDF的下载单位、IP信息已删除 (2025-6-4)

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
泥嚎完成签到,获得积分10
刚刚
xuxu发布了新的文献求助10
刚刚
伊丽娜完成签到,获得积分20
6秒前
汉堡包应助ylq采纳,获得10
7秒前
9秒前
文城完成签到 ,获得积分10
9秒前
量子星尘发布了新的文献求助30
10秒前
橘笙发布了新的文献求助10
14秒前
14秒前
Akim应助瘦瘦天奇采纳,获得10
15秒前
充电宝应助南冥采纳,获得10
16秒前
SciGPT应助晨曦采纳,获得10
16秒前
17秒前
18秒前
20秒前
21秒前
ylq发布了新的文献求助10
21秒前
diraczh完成签到,获得积分10
22秒前
精神是块骨头完成签到,获得积分10
25秒前
肖肖发布了新的文献求助10
26秒前
MWY关闭了MWY文献求助
26秒前
duhdhd完成签到,获得积分10
27秒前
卓矢完成签到 ,获得积分10
29秒前
32秒前
科目三应助越啊采纳,获得10
33秒前
lixia完成签到 ,获得积分10
33秒前
33秒前
无花果应助liu采纳,获得10
38秒前
李健的粉丝团团长应助fhh采纳,获得10
38秒前
滴滴滴发布了新的文献求助10
38秒前
王佳亮完成签到,获得积分10
39秒前
40秒前
41秒前
赘婿应助anna采纳,获得10
42秒前
water发布了新的文献求助10
43秒前
奋斗绿旋完成签到,获得积分10
44秒前
44秒前
xiaixax发布了新的文献求助10
45秒前
大罗发布了新的文献求助10
46秒前
马小跳关注了科研通微信公众号
48秒前
高分求助中
A new approach to the extrapolation of accelerated life test data 1000
ACSM’s Guidelines for Exercise Testing and Prescription, 12th edition 500
‘Unruly’ Children: Historical Fieldnotes and Learning Morality in a Taiwan Village (New Departures in Anthropology) 400
Indomethacinのヒトにおける経皮吸収 400
Phylogenetic study of the order Polydesmida (Myriapoda: Diplopoda) 370
基于可调谐半导体激光吸收光谱技术泄漏气体检测系统的研究 350
Robot-supported joining of reinforcement textiles with one-sided sewing heads 320
热门求助领域 (近24小时)
化学 材料科学 医学 生物 工程类 有机化学 生物化学 物理 内科学 纳米技术 计算机科学 化学工程 复合材料 遗传学 基因 物理化学 催化作用 冶金 细胞生物学 免疫学
热门帖子
关注 科研通微信公众号,转发送积分 3989069
求助须知:如何正确求助?哪些是违规求助? 3531351
关于积分的说明 11253589
捐赠科研通 3269939
什么是DOI,文献DOI怎么找? 1804851
邀请新用户注册赠送积分活动 882074
科研通“疑难数据库(出版商)”最低求助积分说明 809073