仇森

基本信息Personal Information

讲师(高校)

硕士生导师

性别:男

毕业院校:大连理工大学

学位:博士

在职信息:在职

所在单位:控制科学与工程学院

学科:控制理论与控制工程

办公地点:创新园大厦 A732

电子邮箱:

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个人简介Personal Profile

大连理工大学智能系统研究室(DUT-LIS)成员,入选大连理工大学“星海骨干”人才培育计划,主持国家自然科学基金、中国博士后基金以及辽宁省博士科研启动基金项目,发表多篇SCI检索期刊论文,1篇为“ESI高被引论文”,多次获得国际会议最佳论文奖励,曾获中国石油与化工联合会科技进步二等奖。团队致力于人体传感器网络、人体动作监测与识别、运动康复、智能可穿戴系统以及仿生机器人系统等领域的研究,承担多项国家级、省部级项目。欢迎加入我们!

团队网址:http://lis.dlut.edu.cn/
个人研究主页:https://www.researchgate.net/profile/Sen_Qiu 

                 http://www.researcherid.com/rid/V-5718-2018

                 https://scholar.google.com/citations?user=zc0KssoAAAAJ&hl=en

主持科研项目:

[1] 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,国家自然科学基金青年基金项目(61803072),2019.1-2021.12

[2] 穿戴式人体步态分析方法与个性化医疗应用研究,中国博士后科学基金面上项目(2017M621132),2017.11-2019.11

[3] 医疗大数据环境下的穿戴式人体步态分析关键技术研究,辽宁省博士科研启动基金(20180540011),2018.09-2020.08

[4] 基于穿戴式传感器的步态分析系统研究,中央高校基本科研业务费专项资金(DUT16RC(3)081,DUT18RC(4)034),2016.09-2019.12


代表性论文:

[1] Qiu, S., Wang, Z., Zhao, H., et.al. Inertial/magnetic sensors based pedestrian dead reckoning by means of multi-sensor fusion. Information Fusion, 39: 108–119, 2018.  IF:6.574,ESI高被引论文

[2] Qiu, S., Wang, Z., Zhao, H. Using Distributed Wearable Sensors to Measure and Evaluate Human Lower Limb Motions. IEEE Transactions on Instrumentation & Measurement, 65(4): 939–950, 2016.  IF:2.711

[3] Wang, Z., Li, J., Wang, J., Zhao, H., Qiu, S. Inertial Sensor-Based Analysis of Equestrian Sports Between Beginner and Professional Riders Under Different Horse Gaits. IEEE Transactions on Instrumentation & Measurement, 67(11), 2692–2704. 2018. IF:2.711

[4] Qiu, S., Wang, Z., Zhao, H., et.al. Body Sensor Network based Robust Gait Analysis: Toward Clinical and at Home Use. IEEE Sensors Journal, 2019. IF:2.698

[5] Zhao, H., Wang, Z., Qiu, S. Heading Drift Reduction for Foot-Mounted Inertial Navigation System via Multi-Sensor Fusion and Dual-Gait Analysis. IEEE Sensors Journal, 2019. IF:2.698

[7] Qiu, S., Wang, Z., Zhao, H., et.al. Using Body-Worn Sensors for Preliminary Rehabilitation Assessment in Stroke Victims with Gait Impairment.  IEEE Access, 6: 31249-31258, 2018.  IF:4.199

[6] Wang, Z. L., Zhao, H. Y., Qiu, S., & Gao, Q. Stance phase detection for ZUPT-aided foot-mounted pedestrian navigation system. IEEE/ASME Transactions on Mechatronics, 20(6), 3170–3181. 2015. IF: 4.306

[8] Qiu, S., Liu, L., Zhao, H., et.al. MEMS Inertial Sensors Based Gait Analysis for Rehabilitation Assessment via Multi-Sensor Fusion. Micromachines, 9(442), 1-17. 2018.  IF:2.236

[9] Choe, N., Zhao, H., Qiu, S., & So, Y.. A sensor-to-segment calibration method for motion capture system based on low cost MIMU. Measurement, 131:490–500. 2019. IF:2.312

[10] Qiu, S., Wang, Z., Zhao, H. Heterogeneous data fusion for three-dimensional gait analysis using wearable MARG sensors. International Journal of Computational Science and Engineering, 14(3): 222–233, 2017


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