赵红宇
近期热点
资料介绍
个人简历
大连理工大学,电子信息与电气工程学部,控制科学与工程学院。主持项目:国家自然科学基金青年基金项目一项;中国博士后科学基金面上项目一项;辽宁省自然科学基金面上项目一项;大连市科技创新基金项目一项;中央高校基本科研业务费专项资金项目三项。参与项目: 参与国家自然科学基金面上项目、中国人民解放军装备预研重点实验室基金项目、大连市科技创新基金项目等多个项目。科技奖励: 研究成果获中国石油与化工联合会科技进步二等奖;研究成果进行了教育部科技成果鉴定,结论为“国际先进水平”;辽宁省自然科学学术成果奖一等奖。知识产权:授权国家发明专利5项;登记软件著作权2项。 教育经历Education Background2009.32015.12大连理工大学控制理论与控制工程博士2007.92009.1大连理工大学控制理论与控制工程硕士2003.92007.7大连理工大学自动化学士工作经历Work Experience2016.1至今大连理工大学控制科学与工程学院讲师团队成员Research Group智能系统实验室 大连理工大学智能系统实验室致力于体感网、人体动作的监测与识别、智能穿戴式系统和仿生机器人系统等领域的研究。 本实验室承担了国家科技重大专项项目,国家863计划项目,国家科技支撑计划项目,国家地震行业科研专项基金(行业863项目),国家自然科学基金项目,大连市发改委项目,大连市软件专项项目和多项横向课题。 欢迎访问智能系统实验室http://lis.dlut.edu.cn/科研项目 基于微惯性传感器和相对距离的多人协同定位研究, 国务院其他部门, 2017/11/13, 进行 医疗大数据环境下的穿戴式人体步态分析关键技术研究, 省、市、自治区科技项目, 2018/08/10, 进行 集成情景-程序性记忆认知特性的机器人经验学习与技能获取, 国家自然科学基金项目, 2018/08/16, 进行 基于穿戴式步态分析的脊髓型颈椎病的评价研究, 国家自然科学基金项目, 2018/08/16, 进行 基于多模态信息融合的可穿戴人体步态分析技术研究与应用, 国家自然科学基金项目, 2018/08/16, 进行 基于双IMU框架的惯性行人导航系统研究, 引进人才科研专题 , 2019/03/25-2019/03/25, 在研 专利 一种基于多传感器数据融合的人体动作识别方法 一种零速检测方法和装置以及行人导航方法和系统 一种具有弹性支撑驱动机构的爬行机器人 一种基于双向滤波平滑技术的步进式行人导航方法 一种基于多传感器融合的人体步态分析方法和系统 一种基于双向滤波平滑技术的步进式行人导航方法 一种基于多传感器融合的人体步态分析方法和系统 一种零速检测方法和装置以及行人导航方法和系统 一种具有弹性支撑驱动机构的爬行机器人 一种穿戴式人马动作监测方法和系统科研奖励 中国石油和化学工业联合会科学技术奖 其他奖励 教学质量优良奖 (2019年) 教学质量优良奖 (2017年) 青年教师讲课竞赛 (2017年)研究领域
体感网步态分析惯性导航定位行人导航定位穿戴式智能系统"1)体感网;2)步态分析;3)惯性导航定位;4)行人导航定位;5)穿戴式智能系统。"近期论文
[1]Zhao, Hongyu,Cheng, Wanli,Yang, Ning,Qiu, Sen,Wang, Zhelong,Wang, Jianjun.Smartphone-Based 3D Indoor Pedestrian Positioning through Multi-Modal Data Fusion[J],SENSORS,2019,19(20) [2]Wang, Zhelong,Yang, Ning,Zhao, Hongyu,Shi, Xin,Qiu, Sen,Wang, Zhengyu.A multi-featured analysis for body sensor networks-based affective actions recognition[A],2019,345-349 [3]Zhao, Hongyu,Wang, Zhelong,Qiu, Sen,Shen, Yanming,Zhang, Luyao,Tang, Kai,Fortino, Giancarlo.Heading Drift Reduction for Foot-Mounted Inertial Navigation System via Multi-Sensor Fusion and Dual-Gait Analysis[J],IEEE SENSORS JOURNAL,2019,19(19,SI):8514-8521 [4]Qiu, Sen,Wang, Zhelong,Zhao, Hongyu,Liu, Long,Li, Jinxiao,Jiang, Yongmei,Fortino, Giancarlo.Body Sensor Network-Based Robust Gait Analysis: Toward Clinical and at Home Use[J],IEEE SENSORS JOURNAL,2019,19(19,SI):8393-8401 [5]Li, Jinxiao,Wang, Zhelong,Shi, Xin,Qiu, Sen,Zhao, Hongyu,Guo, Ming.Quantitative Analysis of Abnormal and Normal Gait based on Inertial Sensors[A],2018,365-370 [6]Zhao, Hongyu,Wang, Zhelong,Qiu, Sen,Wang, Jiaxin,Xu, Fang,Wang, Zhengyu,Shen, Yanming.Adaptive gait detection based on foot-mounted inertial sensors and multi-sensor fusion[J],INFORMATION FUSION,2019,52:157-166 [7]Choe, Namchol,Zhao, Hongyu,Qiu, Sen,So, Yongguk.A sensor-to-segment calibration method for motion capture system based on low cost MIMU[J],MEASUREMENT,2019,131:490-500 [8]赵红宇,王哲龙,仇森,申彦明,张路遥,唐开,Fortino, Giancarlo.Heading Drift Reduction for Foot-Mounted Inertial Navigation System via Multi-Sensor Fusion and Dual-Gait Analysis[J],IEEE Sensors Journal,2019 [9]Wang, Zhelong,Li, Jie,Wang, Jiaxin,Zhao, Hongyu,Qiu, Sen,Yang, Ning,Shi, Xin.Inertial Sensor-Based Analysis of Equestrian Sports Between Beginner and Professional Riders Under Different Horse Gaits[J],IEEE TRANSACTIONS ON INSTRUMENTATION AND MEASUREMENT,2018,67(11):2692-2704 [10]Qiu, Sen,Liu, Long,Zhao, Hongyu,Wang, Zhelong,Jiang, Yongmei.MEMS Inertial Sensors Based Gait Analysis for Rehabilitation Assessment via Multi-Sensor Fusion[J],MICROMACHINES,2018,9(9) [11]CHOE Namchol,赵红宇,仇森,SO Yongguk.低成本MEMS磁力计校正方法研究[J],大连理工大学学报,2018,58(1):105-110 [12]仇森,王哲龙,赵红宇,刘龙,李金晓,姜永梅,Fortino, Giancarlo.Body Sensor Network based Robust Gait Analysis: Toward Clinical and at Home Use[J],IEEE Sensors Journal,2018,1-9 [13]李金晓,王哲龙,石鑫,仇森,赵红宇.Quantitative Analysis of Abnormal and Normal Gait based on Inertial Sensors[A],2018 IEEE 22nd International Conference on Computer Supported Cooperative Work in Design,2018,390-395 [14]Qiu, Sen,Wang, Zhelong,Zhao, Hongyu,Qin, Kairong,Li, Zhenglin,Hu, Huosheng.Inertial/magnetic sensors based pedestrian dead reckoning by means of multi-sensor fusion[J],INFORMATION FUSION,2018,39:108-119 [15]Qiu, Sen,Wang, Zhelong,Zhao, Hongyu,Liu, Long,Jiang, Yongmei.Using Body-Worn Sensors for Preliminary Rehabilitation Assessment in Stroke Victims With Gait Impairment[J],IEEE ACCESS,2018,6:31249-31258 [16]姜鸣,赵红宇,刘学良.一种基于聚类分析的自适应步态检测方法[J],郑州大学学报(工学版),2017,38(3):63-67 [17]Wang, Zhelong,Gao, Qin,Zhao, Hongyu.CPG-Inspired Locomotion Control for a Snake Robot Basing on Nonlinear Oscillators[J],JOURNAL OF INTELLIGENT & ROBOTIC SYSTEMS,2017,85(2):209-227 [18]Wang, Z.,Yang, N.,Guo, M.,Zhao, H..Human-human Interactional Synchrony Analysis Based on Body Sensor Networks[J],IEEE Transactions on Affective Computing,2017 [19]Li, Jie,Wang, Zhelong,Wang, JiaXin,Zhao, Hongyu,Qiu, Sen,Guo, Ming.Study on the Attitude of Equestrian Sport Based on Body Sensor Network[A],2017 IEEE INTERNATIONAL CONFERENCE ON SYSTEMS, MAN, AND CYBERNETICS (SMC),2017,2017-January:3653-3658 [20]赵红宇,王哲龙,仇森,申彦明.Examination of Gait Disorders in Hemiparesis Patients using Foot-Mounted Inertial Sensors[A],The 6th International Conference on Communications, Signal Processing, and Systems,2017 [21]Zhao, Hongyu,Wang, Zhelong,Qiu, Sen,Shen, Yanming,Wang, Jianjun.IMU-based Gait Analysis for Rehabilitation Assessment of Patients with Gait Disorders[A],2017 4TH INTERNATIONAL CONFERENCE ON SYSTEMS AND INFORMATICS (ICSAI),2017,622-626 [22]仇森,王哲龙,赵红宇,覃开蓉.Inertial/magnetic sensors based pedestrian dead reckoning by means of multi-sensor fusion[J],Information Fusion,2017,39:108-119 [23]仇森,王哲龙,赵红宇.Heterogeneous data fusion for three-dimensional gait analysis using wearable MARG sensors[J],International Journal of Computational Science and Engineering,2017 [24]仇森,王哲龙,赵红宇.Gait Analysis for Physical Rehabilitation via Body-Worn Sensors and Multi-information Fusion[A],The 12th International Conference on Body Area Networks,2017 [25]Wu, Donghui,Wang, Zhelong,Chen, Ye,Zhao, Hongyu.Mixed-kernel based weighted extreme learning machine for inertial sensor based human activity recognition with imbalanced dataset[J],NEUROCOMPUTING,2016,190:35-49 [26]Wang, Jiaxin,Wang, Zhelong,Zhao, Hongyu,Qiu, Sen.Human Motion Phase Segmentation Based on Three New Features[A],20th IEEE International Conference on Computer Supported Cooperative Work in Design (CSCWD),2016,647-652 [27]Qiu, Sen,Wang, Zhelong,Zhao, Hongyu,Hu, Huosheng.Using Distributed Wearable Sensors to Measure and Evaluate Human Lower Limb Motions[J],IEEE TRANSACTIONS ON INSTRUMENTATION AND MEASUREMENT,2016,65(4):939-950 [28]Wang, Zhelong,Wang, Jiaxin,Zhao, Hongyu,Yang, Ning,Fortino, Giancarlo.CanoeSense: Monitoring Canoe Sprint Motion using Wearable Sensors[A],IEEE International Conference on Systems, Man, and Cybernetics (SMC),2016,644-649 [29]王哲龙,赵红宇.Networked Human Motion Capture System Based on Quaternion Navigation[A],2016 [30]Wang, Zhelong,Zhao, Hongyu,Qiu, Sen,Gao, Qin.Stance-Phase Detection for ZUPT-Aided Foot-Mounted Pedestrian Navigation System[J],IEEE-ASME TRANSACTIONS ON MECHATRONICS,2015,20(6):3170-3181 [31]Zhao H.,Wu B.,Feng L..Local binary pattern face recognition based on subspace learning[J],Journal of Computational and Theoretical Nanoscience,2015,12(11):4873-4880 [32]Zhao, Hongyu,Wang, Zhelong,Gao, Qin,Hassan, Mohammad Mehedi,Alelaiwi, Abdulhameed.Smooth estimation of human foot motion for zero-velocity-update-aided inertial pedestrian navigation system[J],SENSOR REVIEW,2015,35(4):389-400 [33]高琴,王哲龙,赵红宇.基于Hopf振荡器实现的蛇形机器人的步态控制[J],机器人,2014,36(6):688-696 [34]Zhao H.,Feng L.,Liu S.,Wang H..Local Topological Linear Discriminant analysis[J],Journal of Information and Computational Science,2013,10(18):5859-5866 [35]姜鸣,王哲龙,刘晓博,赵红宇,胡耀华.基于BSN和CHMMs的人体日常动作识别方法研究[J],大连理工大学学报,2013,53(1):121-126 [36]Zhao, Hongyu,Wang, Zhelong,Shang, Hong,Hu, Weijian,Qin, Gao.A time-controllable Allan variance method for MEMS IMU[J],INDUSTRIAL ROBOT-AN INTERNATIONAL JOURNAL,2013,40(2):111-120 [37]Wang Z.,Zhao H.,Shang H.,Qiu S..An improved particle filter for multi-feature tracking application[A],2012 IEEE International Conference on Imaging Systems and Techniques, IST 2012,2012,522-527 [38]赵红宇,王哲龙,姜鸣,宫少奇,尚红.基于EPEA的SINS大失准角非线性初始对准方法[J],大连理工大学学报,2012,52(5):736-742 [39]Zhao, Hongyu,Shang, Hong,Wang, Zhelong,Jiang, Ming.Comparison of Initial Alignment Methods for SINS[A],9th World Congress on Intelligent Control and Automation (WCICA),2011,42-47 [40]Wang, Zhelong,Dai, Chuan,Zhao, Hongyu.A Real Time Object Tracking System for Contrast Media Injection[A],IEEE International Conference on Systems, Man and Cybernetics,2010,3749-3753 [41]Wang Z.,Jiang M.,Zhao H.,Li H.,Wang Y..A pilot study on evaluating recovery of the post-operative based on acceleration and sEMG[A],2010 International Conference on Body Sensor Networks, BSN 2010,2010,3-8 [42]Wang Z.,Zhao H.,Ren J.,Li H..A cavity detection method based on machine vision[A],2010 2nd International Conference on Signal Processing Systems, ICSPS 2010,2010,3:V3111-V3115 相关热点
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