1. 江南大学物联网工程学院
2. 江南大学附属无锡精神卫生中心/无锡市中心康复医院
3. 中国人民解放军联勤保障部队第九〇四医院
纸质出版:2025
移动端阅览
谢溢翀, 孙杨帆, 史立宇, 等. 基于遗传算法特征优化的深度森林运动能耗估测[J]. 传感器与微系统, 2025,(3):161-164.
谢溢翀, 孙杨帆, 史立宇, 等. 基于遗传算法特征优化的深度森林运动能耗估测[J]. 传感器与微系统, 2025,(3):161-164. DOI: 10.13873/J.1000-9787(2025)03-0161-04.
针对运动能耗(EE)精确测量存在专业设备成本高、操作难度大的问题,因此利用多类型微型传感器集成的可穿戴设备采集运动相关数据,并利用机器学习模型对EE进行连续估测,是较为便利的替代方案。本文创新性地探究了深度森林(DF)算法在运动量估计方面的可行性。同时,为了进一步降低估计模型复杂度,以适用于算力有限的可穿戴设备,对于DF算法的输入特征集进行了基于遗传算法(GA)的特征优选。在公开数据集上的测试结果表明:本文所提出的基于特征优化的DF运动量估测方案性能优于传统机器学习算法;并且在降低模型复杂度和算力要求的同时,进一步提升了EE的估测精度。
Houssein A,Prioux J,Gastinger S,Martin B,Zhou F,Ge D.Energy Expenditure Estimation From Respiratory Magnetometer Plethysmography: A Comparison Study.[J].IEEE journal of biomedical and health informatics,2023.
Ozcalici Mehmet,Bumin Mete.Optimizing filter rule parameters with genetic algorithm and stock selection with artificial neural networks for an improved trading: The case of Borsa Istanbul[J].Expert Systems With Applications,2022.
Zhou Fenfen,Yin Xiaojian,Hu Rui,Houssein Aya,Gastinger Steven,Martin Brice,Li Shanshan,Prioux Jacques.Energy Expenditure Estimation in Children, Adolescents and Adults by Using a Respiratory Magnetometer Plethysmography System and a Deep Learning Model[J].Nutrients,2022(19).
Tokmak Fadime,Semiz Beren.Unveiling the Relationships Between Seismocardiogram Signals, Physical Activity Types and Metabolic Equivalent of Task Scores.[J].IEEE transactions on bio-medical engineering,2022.
Yan Yiping,Chen Qingguo.Energy Expenditure Estimation of Tabata by Combining Acceleration and Heart Rate[J].Frontiers in Public Health,2022.
Chen Hao,Li Chaoshun,Yang Wenxian,Liu Jie,An Xueli,Zhao Yujie.Deep balanced cascade forest: An novel fault diagnosis method for data imbalance.[J].ISA transactions,2021.
O'Driscoll Ruairi,Turicchi Jake,Beaulieu Kristine,Scott Sarah,Matu Jamie,Deighton Kevin,Finlayson Graham,Stubbs James.How well do activity monitors estimate energy expenditure? A systematic review and meta-analysis of the validity of current technologies.[J].British journal of sports medicine,2020.
Appetite Control and Energy Balance Group, School of Psychology, University of Leeds , Leeds, UK.,Appetite Control and Energy Balance Group, School of Psychology, University of Leeds , Leeds, UK.,School of Food Science and Nutrition, Faculty of Mathematics and Physical Sciences, University of Leeds , Leeds, UK.,Biomathematics & Statistics Scotland , Aberdeen, UK.,Appetite Control and Energy Balance Group, School of Psychology, University of Leeds , Leeds, UK.,Appetite Control and Energy Balance Group, School of Psychology, University of Leeds , Leeds, UK..Improving energy expenditure estimates from wearable devices: A machine learning approach.[J].Journal of sports sciences,2020.
Božidara Cvetković,Robert Szeklicki,Vito Janko,Przemyslaw Lutomski,Mitja Luštrek.Real-time activity monitoring with a wristband and a smartphone[J].Information Fusion,2018.
Cvetkovic Bozidara,Milic Radoje,Lustrek Mitja.Estimating Energy Expenditure With Multiple Models Using Different Wearable Sensors.[J].IEEE journal of biomedical and health informatics,2016.
张宝军,王钊璇,李孰非.基于改进卷积神经网络的车位角检测算法研究[J].传感器与微系统,2023(06).
冯凯,董秀成,刘栋博.基于多域融合与特征选择的手势识别研究[J].传感器与微系统,2023(05).
姜绍忠,姚克明,陈磊,王中洲,郭复澳.基于CNN与Transformer混合模型的口罩人脸识别方法[J].传感器与微系统,2023(01).
Zhi-Hua Zhou,Ji Feng.Deep forest[J].National Science Review,2019(01).
0
浏览量
0
下载量
0
CSCD
关联资源
相关文章
相关作者
相关机构
京公网安备11010802024621