湖北民族大学智能科学与工程学院
纸质出版:2025
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陈友争, 刘嵩, 周丙涛. 基于可穿戴设备的矢状下肢姿势连续预测[J]. 传感器与微系统, 2025,(2):67-71.
陈友争, 刘嵩, 周丙涛. 基于可穿戴设备的矢状下肢姿势连续预测[J]. 传感器与微系统, 2025,(2):67-71. DOI: 10.13873/J.1000-9787(2025)02-0067-05.
基于可穿戴设备,提出了一种人体跑步时下肢矢状面姿态拟合方法。通过在人体大腿、小腿和脚踝上布置惯性测量单元(IMU)模块采集人体跑步时下肢的加速度、倾斜角和角速度数据;然后,使用滑动窗口方法处理数据;最后,采用自注意网络和长短期记忆网络(LSTM)进行数据拟合,并引入了一个多模态框架。训练目标来自于基于OpenPose的视频采集系统。本文招募了5名参与者,从每位参与者身上收集了大约3.5 min的数据。通过比较不同模型架构和滑动窗口长度的结果,研究的最佳结果如下:数据格式为均值±标准差,髋关节和膝关节关节角的均方根误差(RMSE)和相关系数分别为3.88°±1.22°和0.906±0.075
7.31°±1.84°和0.957±0.072
与现有研究相比,本文研究在预测角度准确度方面具有优势。
王正,孙莉,李胜民,王会如,薛宁,刘春秀.可穿戴汗液传感器系统的研究进展[J].传感器与微系统,2024(05).
孟令飞,章碧玉,张学兵,梁建平.可穿戴式汗液传感器在运动监测中的研究进展[J].传感器与微系统,2024(02).
颜兵兵,王强,宋佳宝,殷宝麟,胡春玉.基于足底压力分布的下肢步态识别方法[J].传感器与微系统,2024(02).
周丙涛,向勉,汪涛,陈世强,金浩.基于足底压力的不规范深蹲姿势识别[J].仪器仪表学报,2021(12).
王智敏,陶宝林,于鹏,甘昊鹏,杨海,罗涛.基于可穿戴式惯性测量单元的行人室内定位技术[J].传感器与微系统,2021(01).
杨敏,费飞,冷莹,吴常铖,杨德华.基于足底压力传感器的人体步态分析系统设计[J].传感器与微系统,2020(07).
段晨,廖福元.基于惯性传感器和深度学习的上肢动作识别研究[J].国外电子测量技术,2019(11).
Lee Taehoon,Kim Inwoo,Lee SooHong.Estimation of the Continuous Walking Angle of Knee and Ankle (Talocrural Joint, Subtalar Joint) of a Lower-Limb Exoskeleton Robot Using a Neural Network[J].Sensors,2021.
Sy Luke,Raitor Michael,Rosario Michael Del,Khamis Heba,Kark Lauren,Lovell Nigel H,Redmond Stephen J.Estimating Lower Limb Kinematics Using a Reduced Wearable Sensor Count.[J].IEEE transactions on bio-medical engineering,2021.
Sy Luke Wicent F,Lovell Nigel H,Redmond Stephen J.Estimating Lower Limb Kinematics Using a Lie Group Constrained Extended Kalman Filter with a Reduced Wearable IMU Count and Distance Measurements.[J].Sensors (Basel, Switzerland),2020.
Gao Fei,Liu Gaoyu,Liang Fengyan,Liao Wei-Hsin.IMU-Based Locomotion Mode Identification for Transtibial Prostheses, Orthoses, and Exoskeletons.[J].IEEE transactions on neural systems and rehabilitation engineering : a publication of the IEEE Engineering in Medicine and Biology Society,2020.
Steffen Willwacher,Maximilian Sanno,Gert-Peter Brüggemann.Fatigue matters: An intense 10 km run alters frontal and transverse plane joint kinematics in competitive and recreational adult runners[J].Gait & Posture,2020.
Machine Learning and Data Analytics Lab, Friedrich-Alexander University of Erlangen-Nürnberg (FAU), Germany,Machine Learning and Data Analytics Lab, Friedrich-Alexander University of Erlangen-Nürnberg (FAU), Germany,Machine Learning and Data Analytics Lab, Friedrich-Alexander University of Erlangen-Nürnberg (FAU), Germany,Mechanical Engineering Department, Cleveland State University, USA,Machine Learning and Data Analytics Lab, Friedrich-Alexander University of Erlangen-Nürnberg (FAU), Germany.Estimation of gait kinematics and kinetics from inertial sensor data using optimal control of musculoskeletal models[J].Journal of Biomechanics,2019.
Jan Wilke,Oliver Vogel,Lutz Vogt.Why Are You Running and Does It Hurt? Pain, Motivations and Beliefs about Injury Prevention among Participants of a Large-Scale Public Running Event[J].International Journal of Environmental Research and Public Health,2019.
Ráfales Perucha Andrés,Gómez Bernal Antonio,Alfaro Santafé Javier,Almenar Arasanz Alejandro Jesús.Fiabilidad de la cinemática angular de rodilla y tobillo de la carrera en el plano sagital medido con Younext Direct Motion Capture?[J].Revista Internacional de Ciencias Podológicas,2019(2).
Zhang Gaofei,Ling Wenjie,Duan Changyuan.Motion Damage Attitude Acquisition Based on Three-Dimensional Image Analysis[J].IEEE Sensors Journal,2019.
Nguyen Nhan Duc,Bui Duong Trong,Truong Phuc Huu,Jeong Gu Min.Classification of Five Ambulatory Activities Regarding Stair and Incline Walking Using Smart Shoes[J].IEEE Sensors Journal,2018.
Frank J. Wouda,Matteo Giuberti,Giovanni Bellusci,Erik Maartens,Erik Maartens,Jasper Reenalda,Jasper Reenalda,Bert-Jan F. van Beijnum,Bert-Jan F. van Beijnum,Peter H. Veltink.Estimation of Vertical Ground Reaction Forces and Sagittal Knee Kinematics During Running Using Three Inertial Sensors[J].Frontiers in Physiology,2018.
Koning Bart H W,van der Krogt Marjolein M,Baten Chris T M,Koopman Bart F J M.Driving a musculoskeletal model with inertial and magnetic measurement units.[J].Computer methods in biomechanics and biomedical engineering,2015.
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