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仇森
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副教授
博士生导师
硕士生导师
- 主要任职：控制科学与工程学院副院长
- 其他任职：中国电子教育学会高等教育分会理事、辽宁省药学会专委会副主任委员
- 性别：男
- 毕业院校：大连理工大学
- 学位：博士
- 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：海山楼 A11326
- 联系方式：+86 壹355683491陆
- 电子邮箱：qiu@dlut.edu.cn
访问量：
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[41] 李杰, 王哲龙, Jiang, Yongmei, 仇森, 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),2022,139-144
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[42] 姜敏, 刘秀兰, 张征, 赵颖, 张蓉, 仇森, Wu, D. H..Online Data Segmentation Based on Clustering Algorithm and Autoregressive Model for Human Actions [A],2017 4TH INTERNATIONAL CONFERENCE ON INFORMATION, CYBERNETICS AND
COMPUTATIONAL SOCIAL SYSTEMS (ICCSS),2022,412-416
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[43] Liu, Long, Wang, Hui-Hui, 仇森, Zhang, Yun-Cui, Hao, Zheng-Dong.Paddle Stroke Analysis for Kayakers Using Wearable Technologies[J],SENSORS,2022,21(3)
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[44] 赵红宇, Zhang, Luyao, 仇森, 王哲龙, Yang, Ning, 徐坚.Pedestrian Dead Reckoning Using Pocket-Worn Smartphone[J],IEEE Access,2022,7:91063-91073
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[45] 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,2022,390-395
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[46] 王哲龙, 仇森, Cao, Zhongkai, Jiang, Ming.Quantitative assessment of dual gait analysis based on inertial sensors with body sensor network[J],Sensor Review,2022,33(1):48-56
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[47] 姜敏, 仇森.Relearning probability neural network for monitoring human behaviors by using wireless sensor networ[A],10th International Symposium on Neural Networks, ISNN 2013,2022,7952 LNCS(PART 2):473-480
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[48] 李洁, Cangelosi, Angelo, Liu, Xiaofeng, 王哲龙, 张婷婷, 仇森, 赵红宇, Zhou, Xu, Cai, Huili, Ni, Rong Rong.Real-time Hand Gesture Tracking for Human-Computer Interface Based on Multi-Sensor Data Fusion[J],IEEE Sensors Journal,2022
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[49] 李洁, Cangelosi, Angelo, Liu, Xiao Feng, 王哲龙, 赵红宇, 张婷婷, 仇森, Zhou, Xu, Cai, Huili, Ni, Rong Rong.Real-Time Human Motion Capture Based on Wearable Inertial Sensor Networks[J],IEEE Internet of Things Journal,2022
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[50] 仇森, Hao, Zhengdong, 王哲龙, Liu, Long, Jiayi, 赵红宇, Fortino, Giancarlo.Sensor Combination Selection Strategy for Kayak Cycle Phase Segmentation Based on Body Sensor Networ[J],IEEE Internet of Things Journal,2022
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[51] 仇森, Zhao, Hongkai, 姜南, Wu, Donghui, Song, Guangcai, 赵红宇, 王哲龙.Sensor network oriented human motion capture via wearable intelligent system[J],INTERNATIONAL JOURNAL OF INTELLIGENT SYSTEMS,2022
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[52] 安毅, Han, Tianqi, 赵红宇, 仇森.Simulation analysis on motion stability of smart wheelchair[A],Journal of Physics: Conference Series,2022,1873(1)
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[53] 赵红宇, Cheng, Wanli, Yang, Ning, 仇森, 王哲龙, 王建军.Smartphone-Based 3D Indoor Pedestrian Positioning through Multi-Modal Data Fusion[J],SENSORS,2022,19(20)
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[54] 王哲龙, 赵红宇, 仇森, gaoqin.Stance-Phase Detection for ZUPT-Aided Foot-Mounted Pedestrian Navigation System[J],IEEE ASME TRANSACTIONS ON MECHATRONICS,2022,20(6):3170-3181
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[55] 李杰, 王哲龙, Wang, JiaXin, 赵红宇, 仇森, 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),2022,2017-January:3653-3658
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[56] 王哲龙, Shi, Xin, Wang, Jiaxin, 高峰杉, 李杰, Guo, Ming, 赵红宇, 仇森.Swimming Motion Analysis and Posture Recognition Based on Wearable Inertial Sensors[A],2019 IEEE INTERNATIONAL CONFERENCE ON SYSTEMS, MAN AND CYBERNETICS (SMC),2022,2019-October:3371-3376
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[57] Wang, Jiaxin, 王哲龙, 高峰杉, 赵红宇, 仇森, 李杰.Swimming Stroke Phase Segmentation Based on Wearable Motion Capture Technique[J],IEEE TRANSACTIONS ON INSTRUMENTATION AND MEASUREMENT,2022,69(10):8526-8538
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[58] 李洁, 王哲龙, 仇森, 赵红宇, Wang, Jiaxin, Shi, Xin, 梁冰, Fortino, Giancarlo.Multi-body sensor data fusion to evaluate the hippotherapy for motor ability improvement in children[J],Information Fusion,2022,70:115-128
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[59] Jiang, Jiahao, 王哲龙, 赵红宇, 仇森, Li, Jiaxi.Modulation recognition method of satellite communication based on CLDNN model[A],IEEE International Symposium on Industrial Electronics,2022,2021-June
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[60] 仇森, Liu, Long, 赵红宇, 王哲龙, Jiang, Yongmei.MEMS Inertial Sensors Based Gait Analysis for Rehabilitation Assessment via Multi-Sensor Fusion[J],Micromachines,2022,9(9)
