个人简历

感恩母校，连理大工。曾赴英国 University of Essex 联合培养；入选大连理工大学“星海骨干”人才培育计划; 多次获得国际会议最佳论文奖；主持国家自然科学基金青年基金、中国博士后基金、辽宁省和大连市科创基金等多项科研项目，致力于智能可穿戴计算、多源异构信息融合、无线传感器网络领域的研究。
教育经历
Education Background
2009.92016.6大连理工大学控制理论与工程博士
2005.92009.7大连理工大学自动化学士
2001.92005.7河南省实验中学
工作经历
Work Experience
2016.7至今大连理工大学控制工程学院高校教师
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/
本研究团队一直致力于人体运动数据的采集、检测、分析和信息融合算法的研究，研发了基于人体传感器网络技术的穿戴式人体步态分析平台，能够实时无线采集监测被测者步行过程中下肢运动速度、姿态、位移和关节角度等多种信息，并获批两项国家发明专利： 一种基于多传感器融合的人体步态分析方法和系统（ZL201510178450.4）和一种三维人体步态定量分析系统和方法（ZL201210268628.0）。团队完成的“人体运动信息采集监测和识别技术的研究及应用”课题通过教育部组织的科技成果鉴定，鉴定结果为国际先进水平。
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
一种穿戴式人马动作监测方法和系统
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
科研项目
穿戴式人体步态分析方法与个性化医疗应用研究, 国务院其他部门, 2017/11/13, 进行
面向个性化学习监测与质量评估的人工智能方法研究与应用, 国家自然科学基金项目, 2018/08/16, 进行
基于点云数据处理的移动机器人三维环境分析, 省、市、自治区科技项目, 2017/04/18, 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
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 科研奖励
中国石油和化学工业联合会科技进步奖
大连市优秀科技成果奖
其他奖励
大连理工大学青年教师讲课竞赛 （2019年）
校教学质量优良奖 （2019年）
INTECH 国际会议最佳论文奖 （2014年）
12th International Conference on Body Area Networks 国际会议最佳应用论文奖 （2017年）
AJWIT 最佳论文报告奖 （2012年）
辽宁省自然科学学术成果二等奖 （2017年）
大连市优秀科技成果奖 （2017年）
大连-青森（日本）IT商业大赛最优秀奖 （2012年）
大连理工大学优秀班主任 （2019年）
大连理工大学电信学部优秀共产党员 （2018年）

研究领域

可穿戴计算
人体传感器网络
步态分析与识别
多传感器数据融合""

近期论文

[1]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
[2]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
[3]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
[4]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)
[5]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
[6]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
[7]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)
[8]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
[9]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
[10]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
[11]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
[12]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
[13]Sen Qiu,Long Liu,Hongyu Zhao,Zhelong Wang,Yongmei Jiang.MEMS Inertial Sensors Based Gait Analysis for Rehabilitation Assessment via Multi-Sensor Fusion[J],Micromachines,2018,9(9):442
[14]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
[15]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
[16]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
[17]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
[18]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
[19]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
[20]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
[21]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
[22]Jiang, M.,Liu, X. L.,Zhang, Z.,Zhao, Y.,Zhang, R.,Qiu, S.,Wu, D. H..Online Data Segmentation Based on Clustering Algorithm and Autoregressive Model for Human Actions Recognition[A],2017 4TH INTERNATIONAL CONFERENCE ON INFORMATION, CYBERNETICS AND COMPUTATIONAL SOCIAL SYSTEMS (ICCSS),2017,412-416
[23]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
[24]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
[25]Qiu, Sen,Liu, Long,Li, Jinxiao,Wang, Zhelong,Qin, Kairong,Jiang, Yongmei.GaitSense: A Potential Assistance for Physical Rehabilitation by Means of Wearable Sensors[A],2017 IEEE INTERNATIONAL CONFERENCE ON COMPUTATIONAL SCIENCE AND ENGINEERING (CSE) AND IEEE/IFIP INTERNATIONAL CONFERENCE ON EMBEDDED AND UBIQUITOUS COMPUTING (EUC), VOL 1,2017,1:116-121
[26]Li, Jie,Wang, Zhelong,Jiang, Yongmei,Qiu, Sen,Wang, JiaXing,Tang, Kai.Networked Gesture Tracking System Based on Immersive Real-Time Interaction[A],2017 IEEE 21ST INTERNATIONAL CONFERENCE ON COMPUTER SUPPORTED COOPERATIVE WORK IN DESIGN (CSCWD),2017,139-144
[27]姜鸣,仇森,赵洋,张志.基于惯性测量器件的无线步态分析平台[J],大连理工大学学报,2016,56(5):518-524
[28]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
[29]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
[30]Wang, Zhelong,Qiu, Sen.Foot motion measurement for home based rehabilitation using distributed wearable sensor[A],10th EAI International Conference on Body Area Networks, BODYNETS 2015,2015
[31]Qiu, Sen,Yang, Yu,Hou, Jijian,Ji, Ran,Hu, Huosheng,Wang, Zhelong.Ambulatory estimation of 3D walking trajectory and knee joint angle using MARG Sensors[A],4th International Conference on Innovative Computing Technology (INTECH) / 3rd International Conference on Future Generation Communication Technologies (FGCT),2014,191-196
[32]Wang, Zhelong,Zhao, Cong,Qiu, Sen.A system off human vita signs monitoring and activity recognition based on body sensor network[J],SENSOR REVIEW,2014,34(1):42-50
[33]Jiang M.,Qiu S..Relearning probability neural network for monitoring human behaviors by using wireless sensor networks[A],10th International Symposium on Neural Networks, ISNN 2013,2013,7952 LNCS(PART 2):473-480
[34]Wang, Zhelong,Qiu, Sen,Cao, Zhongkai,Jiang, Ming.Quantitative assessment of dual gait analysis based on inertial sensors with body sensor network[J],SENSOR REVIEW,2013,33(1):48-56
[35]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
[36]Sen Qiu,Long Liu,Jinxiao Li,Zhelong Wang,Kairong Qin,Yongmei Jiang.GaitSense : A Potential Assistance for Physical Rehabilitation by Means of Wearable Sensors[C],20th International Conferences on Computational Science and Engineering,2017,116 - 121
[37]Sen Qiu,Zhelong Wang,Hongyu Zhao,Huosheng Hu.Using Distributed Wearable Sensors to Measure and Evaluate Human Lower Limb Motions[J],IEEE Transactions on Instrumentation and Measurement,2016,65(4):939-950
[38]Sen Qiu,Zhelong Wang,Hongyu Zhao,Huosheng Hu.Heterogeneous data fusion for three-dimensional gait analysis using wearable MARG sensors[J],International Journal of Computational Science and Engineering,2017,14(3):222–233
[39]Sen Qiu,Zhelong Wang,Hongyu Zhao,Long Liu,Yongmei Jiang,Jinxiao Li,Fortino.Body Sensor Network based Robust Gait Analysis: Toward Clinical and at Home Use[J],IEEE Sensors Journal,2018
[40]Sen Qiu,Zhelong Wang,Hongyu Zhao,Long Liu,Yongmei Jiang.Using Body-Worn Sensors for Preliminary Rehabilitation Assessment in Stroke Victims with Gait Impairment[J],IEEE Access,2018,6:31249-31258
[41]Sen Qiu,Zhelong Wang,Hongyu Zhao,Kairong Qin,Zhenglin Li,Huosheng Hu.Inertial/magnetic sensors based pedestrian dead reckoning by means of multi-sensor fusion[J],Information Fusion,2017,39:108–119