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仇森,男,博士,副教授,碩士生導(dǎo)師,現(xiàn)任大連理工大學(xué)控制科學(xué)與工程學(xué)院副院長(zhǎng)。
“興遼英才”青年拔尖人才,入選斯坦福全球前 2% 頂尖科學(xué)家榜單,大連市高層次人才,大連理工大學(xué)“星海骨干”,教育部科技發(fā)展中心優(yōu)秀借調(diào)干部。出版《電機(jī)與拖動(dòng)》AR&VR教材(高教出版社),主持教育部產(chǎn)學(xué)研協(xié)同育人教改項(xiàng)目、校級(jí)教學(xué)改革項(xiàng)目,獲全國(guó)教師教育教學(xué)信息化交流活動(dòng)一等獎(jiǎng),全國(guó)教育仿真優(yōu)秀教學(xué)案例一等獎(jiǎng),遼寧省高等教育教學(xué)成果二等獎(jiǎng),校教學(xué)創(chuàng)新大賽二等獎(jiǎng),校講課競(jìng)賽二等獎(jiǎng),校教學(xué)質(zhì)量?jī)?yōu)良獎(jiǎng),優(yōu)秀班主任,優(yōu)秀共產(chǎn)黨員。
研究興趣為人-機(jī)-環(huán)多元信息融合和數(shù)字孿生。堅(jiān)持總書記提出的“四個(gè)面向”要求,針對(duì)穿戴式多生命體征智能監(jiān)測(cè)、物聯(lián)網(wǎng)技術(shù)應(yīng)用與人工智能等關(guān)鍵問題開展理論與技術(shù)研究,努力實(shí)現(xiàn)光學(xué)與慣性動(dòng)作捕捉、人機(jī)交互、人體健康監(jiān)測(cè)的深度融合。完成的“人體運(yùn)動(dòng)信息采集監(jiān)測(cè)和識(shí)別技術(shù)的研究及應(yīng)用”項(xiàng)目通過教育部科技成果鑒定(國(guó)際先進(jìn)水平)。
主持參與多項(xiàng)科研項(xiàng)目。以第一作者3次獲國(guó)際會(huì)議最佳論文獎(jiǎng),曾獲遼寧省自然科學(xué)學(xué)術(shù)成果一等獎(jiǎng),大連市科技進(jìn)步一等獎(jiǎng),中國(guó)鐵道學(xué)會(huì)科學(xué)技術(shù)二等獎(jiǎng),中國(guó)石化工業(yè)聯(lián)合會(huì)科技進(jìn)步二等獎(jiǎng);谷歌學(xué)術(shù)引用超過2500次, H指數(shù)25,ESI高被引論文4篇,熱點(diǎn)論文3篇;獲國(guó)際專利2項(xiàng),擔(dān)任 Frontiers in Sensors 副主編 (Associate Editor)。
教育經(jīng)歷:
2009.09-20160.6.大連理工大學(xué),控制理論與工程博士,師從王哲龍教授
2013.10-2014.10.University of Essex計(jì)算機(jī)科學(xué)與技術(shù),聯(lián)合培養(yǎng)博士,師從胡豁生教授
2005.09-2009.07.大連理工大學(xué)自動(dòng)化學(xué)士
2001.09-2005.07.河南省實(shí)驗(yàn)中學(xué)
工作經(jīng)歷:
2016.7至今,大連理工大學(xué)控制工程學(xué)院高校教師
生物醫(yī)學(xué)工程博士后,師從覃開蓉教授 。
教育部科技發(fā)展中心,評(píng)審評(píng)估處, 掛職干部, 2020-11至2022-01
社會(huì)兼職:
2022.6-2026.12,副編輯(Frontiers in Sensors)
授課信息
電機(jī)與拖動(dòng) /2020-2021 /秋學(xué)期 /56課時(shí) /3.5學(xué)分 /1020540300
控制系統(tǒng)仿真與設(shè)計(jì) /2019-2020 /春學(xué)期 /36課時(shí) /2.0學(xué)分 /1020543010
控制系統(tǒng)仿真與設(shè)計(jì) /2019-2020 /春學(xué)期 /36課時(shí) /2.0學(xué)分 /1020543010
電機(jī)與拖動(dòng) /2019-2020 /秋學(xué)期 /56課時(shí) /3.5學(xué)分 /1020540300
電機(jī)與拖動(dòng) /2019-2020 /秋學(xué)期 /56課時(shí) /3.5學(xué)分 /1020540300
培養(yǎng)研究生情況:
在讀碩士生7人,畢業(yè)碩士生6人。
指導(dǎo)學(xué)生獲得第十八屆全國(guó)研究生電子設(shè)計(jì)大賽東北賽區(qū)一等獎(jiǎng)、全國(guó)總決賽二等獎(jiǎng),第二十屆中國(guó)研究生數(shù)學(xué)建模競(jìng)賽國(guó)賽二等獎(jiǎng);第十四屆藍(lán)橋杯全國(guó)軟件和信息技術(shù)專業(yè)人才大賽遼寧賽區(qū)一等獎(jiǎng);指導(dǎo)學(xué)生獲得兩項(xiàng)“互聯(lián)網(wǎng)+”遼寧省銀獎(jiǎng);指導(dǎo)的學(xué)生多次獲評(píng)國(guó)家獎(jiǎng)學(xué)金、電信學(xué)部科研創(chuàng)新之星,校優(yōu)秀畢業(yè)論文;指導(dǎo)畢業(yè)的研究生入職上海航天研究所、中國(guó)航發(fā)、海信集團(tuán)、九號(hào)機(jī)器人、北京萬集等。歡迎有夢(mèng)想的青年才俊加入我們團(tuán)隊(duì)!
招生信息:
碩士研究生
1、電子信息與電氣工程學(xué)部,控制工程,2023
2、電子信息與電氣工程學(xué)部,控制科學(xué)與工程,2023
3、電子信息與電氣工程學(xué)部,電子信息,2022
研究方向:
可穿戴計(jì)算
人體傳感器網(wǎng)絡(luò)
步態(tài)分析與識(shí)別
多傳感器數(shù)據(jù)融合
科研項(xiàng)目:
1、空間微牛級(jí)冷氣推進(jìn)系統(tǒng)變推力微分平坦調(diào)控方法研究, 2023/10/10, 在研
2、空間碎片態(tài)勢(shì)智能計(jì)算與監(jiān)測(cè)分析, 2023/03/02, 在研
3、系統(tǒng)學(xué)基礎(chǔ)概念研究, 2023/07/03-2023/11/10, 在研
4、基于跨模態(tài)自主進(jìn)化的安防機(jī)器人室外巡檢場(chǎng)景理解與異常探知, 2023/02/21, 在研
5、國(guó)家自然科學(xué)基金面上項(xiàng)目:面向復(fù)雜戰(zhàn)場(chǎng)環(huán)境的單兵應(yīng)激狀態(tài)感知與評(píng)估機(jī)制研究, 62272081, 2023-2026, 在研
6、JKW創(chuàng)新特區(qū)項(xiàng)目子課題:XX系統(tǒng)集成,TQ04-20-ZD-01-001-04-01, 2022-2025
7、"興遼英才"項(xiàng)目:人-機(jī)-環(huán)境多元融合與智能交互關(guān)鍵技術(shù)研究,XLYC2203033,2023-2026
8、國(guó)家自然科學(xué)基金青年項(xiàng)目:基于多模態(tài)信息融合的可穿戴人體步態(tài)分析技術(shù)研究與應(yīng)用研究, 61803072, 2019-2021
9、大連理工大學(xué)-遼寧省腫瘤醫(yī)院聯(lián)合基金:基于多源情感信息感知的乳腺癌并發(fā)抑郁障礙智能診斷,DUT22YG128, 2022-2023
10、蒙醫(yī)藥研發(fā)工程教育部重點(diǎn)實(shí)驗(yàn)室開放基金:數(shù)據(jù)智能時(shí)代的民族醫(yī)藥安全性評(píng)價(jià)研究,2022-2023
11、智能工廠信息物理系統(tǒng)架構(gòu)設(shè)計(jì)與混雜控制方法研究及其應(yīng)用, 2021/12/14, 在研
12、穿戴式多模態(tài)信息融合的腦卒中康復(fù)治療評(píng)測(cè)系統(tǒng), 2021/10/01, 在研
13、基于多模態(tài)記憶增強(qiáng)的無人礦用大型電鏟作業(yè)環(huán)境感知方法研究, 2021/08/18, 在研
14、基于空中先驗(yàn)信息的地面救援機(jī)器人災(zāi)情地圖自主構(gòu)建, 2021/08/18, 在研
15、基于半張量積的貝葉斯博弈優(yōu)化控制及在網(wǎng)絡(luò)功能虛擬化中的應(yīng)用, 2021/08/18, 在研
16、遼寧省自然科學(xué)基金面上項(xiàng)目:面向個(gè)性化醫(yī)療的人體運(yùn)動(dòng)感知與可穿戴智能診斷技術(shù),2021-MS-111, 2021/09/27-2024/01/05, 結(jié)題
17、穿戴式無線檢測(cè)技術(shù)對(duì)腦卒中偏癱患者運(yùn)動(dòng)模式的分析與診斷研究, 2020/01/01-2022/12/28, 結(jié)題
18、無人操作大型礦用機(jī)械正鏟式挖掘機(jī)研制, 2020/01/02-2023/12/31, 在研
19、面向病理步態(tài)臨床分析與康復(fù)訓(xùn)練的穿戴式智能健康監(jiān)測(cè)技術(shù)研究, 2019/08/16-2023/09/13, 結(jié)題
20、大連市科技創(chuàng)新基金:基于多傳感器融合的人體下肢運(yùn)動(dòng)異常輔助診斷,2019J13SN99, 2019/01/01-2023/09/13, 結(jié)題
21、中國(guó)博士后科學(xué)基金:穿戴式人體步態(tài)分析方法與個(gè)性化醫(yī)療應(yīng)用研究,2017M621132, 2017/11/13-2022/10/27, 結(jié)題
22、面向個(gè)性化學(xué)習(xí)監(jiān)測(cè)與質(zhì)量評(píng)估的人工智能方法研究與應(yīng)用, 2018/08/16-2023/03/31, 結(jié)題
23、基于點(diǎn)云數(shù)據(jù)處理的移動(dòng)機(jī)器人三維環(huán)境分析, 2017/04/18-2023/09/13, 結(jié)題
24、遼寧省博士科研啟動(dòng)基金:醫(yī)療大數(shù)據(jù)環(huán)境下的穿戴式人體步態(tài)分析關(guān)鍵技術(shù)研究,20180540011, 2018/08/10-2023/09/13, 結(jié)題
25、基于多模態(tài)信息融合的可穿戴人體步態(tài)分析技術(shù)研究與應(yīng)用, 2018/08/16-2022/04/18, 結(jié)題
發(fā)明公開:
[1]趙紅宇, 史榮華, 王哲龍, 彭道勇, 仇森. 基于穿戴式傳感器的偏癱步態(tài)識(shí)別及偏癱步態(tài)評(píng)估方法[P]. 遼寧省: CN116999057A, 2023-11-07.
[2]仇森, 劉佳藝, 劉龍, 王哲龍, 趙紅宇. 基于慣性傳感器的雙人皮劃艇上肢動(dòng)作捕捉方法[P]. 遼寧省: CN116027905A, 2023-04-28.
[3]仇森, 苗鑫, 王哲龍, 趙紅宇. 基于可穿戴計(jì)算的手語識(shí)別方法[P]. 遼寧省: CN115904086A, 2023-04-04.
[4]趙紅宇, 王哲龍, 仇森, 郝健雄. 基于多源信息融合的室內(nèi)定位方法[P]. 遼寧省: CN114993320A, 2022-09-02.
[5]趙紅宇, 王哲龍, 仇森, 史榮華. 基于穿戴式智能設(shè)備的偏癱患者康復(fù)數(shù)據(jù)采集及評(píng)估方法[P]. 遼寧省: CN114831630A, 2022-08-02.
[6]仇森, 宋廣彩, 苗鑫, 王哲龍, 趙紅宇, 趙竑愷. 基于慣性傳感技術(shù)的三維人體重構(gòu)方法[P]. 遼寧省: CN113793360A, 2021-12-14.
[7]趙紅宇, 程萬里, 仇森, 王哲龍. 一種基于智能手機(jī)的自主式行人定位方法[P]. 遼寧省: CN111829516A, 2020-10-27.
[8]王哲龍, 郭明, 王英睿, 趙紅宇, 仇森. 一種基于多傳感器數(shù)據(jù)融合的人體動(dòng)作識(shí)別方法[P]. 遼寧: CN109086698A, 2018-12-25.
[9]王哲龍, 趙紅宇, 仇森. 一種基于雙向?yàn)V波平滑技術(shù)的步進(jìn)式行人導(dǎo)航方法[P]. 遼寧: CN104613965A, 2015-05-13.
[10]王哲龍, 趙紅宇, 仇森. 一種穿戴式人馬動(dòng)作監(jiān)測(cè)方法和系統(tǒng)[P]. 遼寧: CN104523282A, 2015-04-22.
發(fā)明授權(quán):
[1]趙紅宇, 程萬里, 仇森, 王哲龍. 一種基于智能手機(jī)的自主式行人定位方法[P]. 遼寧省: CN111829516B, 2024-04-05.
[2]仇森, 宋廣彩, 苗鑫, 王哲龍, 趙紅宇, 趙竑愷. 基于慣性傳感技術(shù)的三維人體重構(gòu)方法[P]. 遼寧省: CN113793360B, 2024-02-06.
[3]王哲龍, 郭明, 王英睿, 趙紅宇, 仇森. 一種基于多傳感器數(shù)據(jù)融合的人體動(dòng)作識(shí)別方法[P]. 遼寧省: CN109086698B, 2021-06-25.
[4]王哲龍, 趙紅宇, 仇森. 一種基于雙向?yàn)V波平滑技術(shù)的步進(jìn)式行人導(dǎo)航方法[P]. 遼寧省: CN104613965B, 2017-10-17.
[5]王哲龍, 仇森, 趙紅宇. 一種基于多傳感器融合的人體步態(tài)分析方法和系統(tǒng)[P]. 遼寧省: CN104757976B, 2017-07-21.
[6]王哲龍, 趙紅宇, 仇森. 一種穿戴式人馬動(dòng)作監(jiān)測(cè)方法和系統(tǒng)[P]. 遼寧省: CN104523282B, 2016-07-13.
出版專著:
1、出版《電機(jī)與拖動(dòng)》AR&VR教材(高教出版社)
發(fā)表論文:
[1]Li, Jiaxi,張珂.Physical Fitness Assessment for Cancer Patients Using Multi-Model Decision Fusion Based on Multi-...[J],IEEE Transactions on Emerging Topics in Computational Intelligence,2024,7(4):1290-1300
[2]林芳,劉芮辰,石鑫.Hand Movement Recognition and Salient Tremor Feature Extraction with Wearable Devices in Parkinso...[J],IEEE Transactions on Cognitive and Developmental Systems,2024,1-1
[3]Yang, Kai.Towards Robust Decision-Making for Autonomous Driving on Highway[J],IEEE TRANSACTIONS ON VEHICULAR TECHNOLOGY,2024,72(9):11251-11263
[4]劉龍.Kinematic Analysis of Intra-Limb Joint Symmetry via Multisensor Fusion[J],IEEE Transactions on Instrumentation and Measurement,2024,72 IF: 5.6
[5]Ni, Xiaoze.A License Management and Fine-Grained Verifiable Data Access Control System for Online Catering[J],IEEE Transactions on Computational Social Systems,2024,1-16
[6]趙紅宇,邱智博,石鑫,褚慶浩.Prediction of Joint Angles Based on Human Lower Limb Surface Electromyography.[J],Sensors (Basel, Switzerland),23(12)
[7]趙紅宇,郝健雄,姜家豪,李佳禧.A Stride Detection Algorithm Based on Triaxial Acceleration Characteristics of Pedestrians[A],2023 3rd International Conference on Computer, Control and Robotics, ICCCR 2023,2024,17-21
[8]Ji, Ang,范天琦,茹波,劉龍,聶睿成.Dataglove for Sign Language Recognition of People with Hearing and Speech Impairment via Wearable...[J],Sensors (Basel, Switzerland),23(15)
[9]Li, Jie.Learning Based Stance Phase Detection and Multi-Sensor Data Fusion for ZUPT-Aided Pedestrian Dead...[J],IEEE Internet of Things Journal,2024,1-1
[10]武東輝.基于融合注意力機(jī)制與CNN-LSTM的人體行為識(shí)別算法[J],科學(xué)技術(shù)與工程,2024,23(02):681-689
[11]王哲龍.Motion Analysis of Deadlift for Trainers With Different Levels Based on Body Sensor Network[J],IEEE TRANSACTIONS ON INSTRUMENTATION AND MEASUREMENT,2022,70
[12]Wang, Huihui.Motion Recognition for Smart Sports Based on Wearable Inertial Sensors[A],Lecture Notes of the Institute for Computer Sciences, Social-Informatics and Telecommunications Engineering, LNICST,2022,297 LNICST:114-124
[13]Gan, C. H..Natural sedimentation of insoluble particles during directional solidification of upgraded meta...[J],JOURNAL OF CRYSTAL GROWTH,2022,439:74-79
[14]李杰.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
[15]姜敏.Online Data Segmentation Based on Clustering Algorithm and Autoregressive Model for Human Actio...[A],2017 4TH INTERNATIONAL CONFERENCE ON INFORMATION, CYBERNETICS AND COMPUTATIONAL SOCIAL SYSTEMS (ICCSS),2022,412-416
[16]Liu, Long.Paddle Stroke Analysis for Kayakers Using Wearable Technologies[J],SENSORS,2022,21(3)
[17]趙紅宇.Pedestrian Dead Reckoning Using Pocket-Worn Smartphone[J],IEEE Access,2022,7:91063-91073
[18]李金曉.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
[19]王哲龍.Quantitative assessment of dual gait analysis based on inertial sensors with body sensor networ...[J],Sensor Review,2022,33(1):48-56
[20]姜敏.Relearning probability neural network for monitoring human behaviors by using wireless sensor net...[A],10th International Symposium on Neural Networks, ISNN 2013,2022,7952 LNCS(PART 2):473-480
[21]李潔.Real-time Hand Gesture Tracking for Human-Computer Interface Based on Multi-Sensor Data Fusion[J],IEEE Sensors Journal,2022
[22]李潔.Real-Time Human Motion Capture Based on Wearable Inertial Sensor Networks[J],IEEE Internet of Things Journal,2022
[23]仇森.Sensor Combination Selection Strategy for Kayak Cycle Phase Segmentation Based on Body Sensor Network. IEEE Internet of Things Journal, 2022, IF: 10.6,ESI 熱點(diǎn)論文
[24]仇森.Sensor network oriented human motion capture via wearable intelligent system[J], International Journal of Intelligent Systems, 2022, IF: 8.9,ESI 熱點(diǎn)論文
[25]安毅.Simulation analysis on motion stability of smart wheelchair[A],Journal of Physics: Conference Series,2022,1873(1)
[26]趙紅宇.Smartphone-Based 3D Indoor Pedestrian Positioning through Multi-Modal Data Fusion[J],SENSORS,2022,19(20)
[27]王哲龍.Stance-Phase Detection for ZUPT-Aided Foot-Mounted Pedestrian Navigation System[J],IEEE ASME TRANSACTIONS ON MECHATRONICS,2022,20(6):3170-3181
[28]李杰.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
[29]王哲龍.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
[30]Wang, Jiaxin.Swimming Stroke Phase Segmentation Based on Wearable Motion Capture Technique[J],IEEE TRANSACTIONS ON INSTRUMENTATION AND MEASUREMENT,2022,69(10):8526-8538
[31]李潔.Multi-body sensor data fusion to evaluate the hippotherapy for motor ability improvement in child...[J],Information Fusion,2022,70:115-128
[32]Jiang, Jiahao.Modulation recognition method of satellite communication based on CLDNN model[A],IEEE International Symposium on Industrial Electronics,2022,2021-June
[33]仇森.MEMS Inertial Sensors Based Gait Analysis for Rehabilitation Assessment via Multi-Sensor Fusion[J],Micromachines,2022,9(9)
[34]Liu, Long.Canoeing Motion Tracking and Analysis via Multi-Sensors Fusion[J],SENSORS,2022,20(7)
[35]仇森.Body Sensor Network-Based Robust Gait Analysis: Toward Clinical and at Home Use[J],IEEE SENSORS JOURNAL,2022,19(19,SI):8393-8401
[36]仇森.Body Sensor Network based Robust Gait Analysis: Toward Clinical and at Home Use[J],IEEE SENSORS JOURNAL,2022,1-9
[37]仇森.Body Sensor Network-Based Gait Quality Assessment for Clinical Decision-Support via Multi-Senso...[J],IEEE Access,2022,7:59884-59894
[38]王哲龍.A system off human vita signs monitoring and activity recognition based on body sensor network[J],Sensor Review,2022,34(1):42-50
[39]Wang, Jiaxin.A selection framework of sensor combination feature subset for human motion phase segmentation[J],INFORMATION FUSION,2022,70:1-11
[40]Wang, Yanhui.An improved six-position calibration method of accelerometer[A],Chinese Control Conference, CCC,2022,2021-July:3191-3196
[41]王振.An improved particle filter for multi-feature tracking application[A],2012 IEEE International Conference on Imaging Systems and Techniques, IST 2012,2022,522-527
[42]王哲龍.A multi-featured analysis for body sensor networks-based affective actions recognition[A],23rd IEEE International Conference on Computer Supported Cooperative Work in Design, CSCWD 2019,2022,345-349
[43]Liu, Long.Ambulatory Human Gait Phase Detection Using Wearable Inertial Sensors and Hidden Markov Model[J],SENSORS,2022,21(4)
[44]仇森.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),2022,191-196
[45]Yang, Ning.Affective actions recognition in dyadic interactions based on generative and discriminative mod...[J],Sensor Review,2022,40(5):605-615
[46]趙紅宇.Adaptive gait detection based on foot-mounted inertial sensors and multi-sensor fusion[J],Information Fusion,2022,52:157-166
[47]王哲龍.Using Wearable Sensors to Capture Posture of the Human Lumbar Spine in Competitive Swimming[J],IEEE Transactions on Human Machine Systems,2022,49(2):194-205
[48]仇森.Using Distributed Wearable Sensors to Measure and Evaluate Human Lower Limb Motions[J],IEEE TRANSACTIONS ON INSTRUMENTATION AND MEASUREMENT,2022,65(4):939-950
[49]仇森.Using Distributed Wearable Inertial Sensors to Measure and Evaluate the Motions of Children with ...[A],14th EAI International Conference on Body Area Networks,2022,332-346
[50]仇森.Using Body-Worn Sensors for Preliminary Rehabilitation Assessment in Stroke Victims With Gait I...[J],IEEE Access,2022,6:31249-31258
[51]李杰.Using Body Sensor Network to Measure the Effect of Rehabilitation Therapy on Improvement of Low...[J],IEEE TRANSACTIONS ON INSTRUMENTATION AND MEASUREMENT,2022,69(11):9215-9227
[52]仇森.Towards Wearable-Inertial-Sensor-Based Gait Posture Evaluation for Subjects with Unbalanced Gai...[J],SENSORS,2022,20(4)
[53]Wang, Jiaxin.Human Motion Phase Segmentation Based on Three New Features[A],20th IEEE International Conference on Computer Supported Cooperative Work in Design (CSCWD),2022,647-652
[54]趙紅宇.IMU-based Gait Analysis for Rehabilitation Assessment of Patients with Gait Disorders[A], International Conference on Systems and Informatics, ICSAI 2017,2022,2018-January:622-626
[55]王哲龍.Inertial Sensor-Based Analysis of Equestrian Sports Between Beginner and Professional Riders Un...[J],IEEE TRANSACTIONS ON INSTRUMENTATION AND MEASUREMENT,2022,67(11):2692-2704
[56]仇森.Inertial/magnetic sensors based pedestrian dead reckoning by means of multi-sensor fusion[J],Information Fusion,2022,39:108-119
[57]趙紅宇.Heading Drift Reduction for Foot-Mounted Inertial Navigation System via Multi-Sensor Fusion and...[J],IEEE SENSORS JOURNAL,2022,19(19,SI):8514-8521
[58]仇森.Heterogeneous data fusion for three-dimensional gait analysis using wearable MARG sensors[J],International Journal of Computational Science and Engineering,2022
[59]仇森.Heterogeneous data fusion for three-dimensional gait analysis using wearable MARG sensors[A],2022,14(3):222-233
[60]李啟蒙.Group Walking Recognition Based on Smartphone Sensors[A],14th EAI International Conference on Body Area Networks,2022,91-102
[61]仇森.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 1,2022,1:116-121
[62]仇森.Gait Analysis for Physical Rehabilitation via Body-Worn Sensors and Multi-information Fusion[A],The 12th International Conference on Body Area Networks,2022
[63]趙紅宇.Examination of gait disorders in hemiparesis patients using foot-mounted inertial sensors[J],Lecture Notes in Electrical Engineering,2022,463:1967-1974
[64]Zhao, H..Evaluation of Inertial Sensor Configurations for Wearable Gait Analysis[A],Studies in Computational Intelligence,2022,844:197-212
[65]Gan, C. H..Effect of calcium-oxide on the removal of calcium during industrial directional solidification ...[J],JOURNAL OF CRYSTAL GROWTH,2022,426:202-207
[66]Liu, Long.Driving Behavior Tracking and Recognition Based on Multisensors Data Fusion[J],IEEE SENSORS JOURNAL,2022,20(18):10811-10823
[67]姜鳴.基于慣性測(cè)量器件的無線步態(tài)分析平臺(tái)[J],大連理工大學(xué)學(xué)報(bào),2022,5:518-524
[68]孫彥璽.基于卷積長(zhǎng)短時(shí)記憶網(wǎng)絡(luò)的人體行為識(shí)別研究[J],計(jì)算機(jī)工程,2021
[69]Lin, Fang.Intelligent Flame Detection Based on Principal Component Analysis and Support Vector Machine[A],2021,339-344
[70]李杰.Using Body Sensor Network to Measure the Effect of Rehabilitation Therapy on Improvement of Low...[J],IEEE TRANSACTIONS ON INSTRUMENTATION AND MEASUREMENT,2021,69(11):9215-9227
[71]Liu, Long.Driving Behavior Tracking and Recognition Based on Multisensors Data Fusion[J],IEEE SENSORS JOURNAL,2021,20(18):10811-10823
[72]Yang, Ning.Affective actions recognition in dyadic interactions based on generative and discriminative mod...[J],SENSOR REVIEW,2021,40(5):605-615
[73]Wang, Jiaxin.Swimming Stroke Phase Segmentation Based on Wearable Motion Capture Technique[J],IEEE TRANSACTIONS ON INSTRUMENTATION AND MEASUREMENT,2021,69(10):8526-8538
[74]Qiu, Sen,Wang, Zhelong,Wang, Jiaxin,Wang, Qiong,Plettemeier, Dirk,Baerhold, Michael,Bauer, Tony,Ru, Bo,Wang, Huihui,Li, Jie,Zhao, Hongyu.Towards Wearable-Inertial-Sensor-Based Gait Posture Evaluation for Subjects with Unbalanced Gai...[J],SENSORS,2020,20(4)
[75]Wang, Huihui.Evolution of Microstructure at the Surface of 40CrNiMo7 Steel Treated by High-Current Pulsed El...[J],Coatings,2020,10(4)
[76]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
[77]Qiu, Sen,Li, Jinxiao,Li, Xiaoyang,Li, Jie,Liu, Ruichen,Wang, Zhelong,Zhao, Hongyu,Liang, Bing,Wang, Jiaxin,Yang, Ning,Shi, Xin.Using Distributed Wearable Inertial Sensors to Measure and Evaluate the Motions of Children with ...[A],2019,297 LNICST:332-346
[78]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)
[79]Zhao, Hongyu,Shen, Yanming,Zhang, Luyao,Tang, Kai,Fortino, Giancarlo,Wang, Zhelong,Qiu, Sen.Heading Drift Reduction for Foot-Mounted Inertial Navigation System via Multi-Sensor Fusion and...[J],IEEE SENSORS JOURNAL,2019,19(19,SI):8514-8521
[80]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
[81]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
[82]趙紅宇,王哲龍,仇森,申彥明,張路遙,唐開,Fortino, Giancarlo.Heading Drift Reduction for Foot-Mounted Inertial Navigation System via Multi-Sensor Fusion and D...[J],IEEE Sensors Journal,2019
[83]Wang, Zhelong,Shi, Xin,Wang, Jiaxin,Gao, Fengshan,Li, Jie,Guo, Ming,Zhao, Hongyu,Qiu, Sen.Swimming Motion Analysis and Posture Recognition Based on Wearable Inertial Sensors[A],2019,2019-October:3371-3376
[84]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
[85]Qiu, Sen,Liu, Long,Wang, Zhelong,Li, Shengming,Zhao, Hongyu,Wang, Jiaxin,Li, Jinxiao,Tang, Kai.Body Sensor Network-Based Gait Quality Assessment for Clinical Decision-Support via Multi-Senso...[J],IEEE ACCESS,2019,7:59884-59894
[86]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 Un...[J],IEEE TRANSACTIONS ON INSTRUMENTATION AND MEASUREMENT,2018,67(11):2692-2704
[87]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)
[88]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
[89]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
[90]Sen Qiu,Zhelong Wang,Hongyu Zhao,Long Liu,Yongmei Jiang.Using Body-Worn Sensors for Preliminary Rehabilitation Assessment in Stroke Victims with Gait Imp...[J],IEEE Access,2018,6:31249-31258
[91]CHOE Namchol,趙紅宇,仇森,SO Yongguk.低成本MEMS磁力計(jì)校正方法研究[J],大連理工大學(xué)學(xué)報(bào),2018,58(1):105-110
[92]仇森,王哲龍,趙紅宇,劉龍,李金曉,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
[93]李金曉,王哲龍,石鑫,仇森,趙紅宇.Quantitative Analysis of Abnormal and Normal Gait based on Inertial Sensors[A],2018,390-395
[94]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
[95]CHOE Namchol.低成本MEMS磁力計(jì)校正方法研究[J],大連理工大學(xué)學(xué)報(bào),2018,58(1):105-110
[96]Qiu, Sen,Wang, Zhelong,Zhao, Hongyu,Liu, Long,Jiang, Yongmei.Using Body-Worn Sensors for Preliminary Rehabilitation Assessment in Stroke Victims With Gait I...[J],IEEE ACCESS,2018,6:31249-31258
[97]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
[98]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
[99]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
[100]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
[101]Zhao, Hongyu,Wang, Zhelong,Qiu, Sen,Shen, Yanming,Wang, Jianjun.IMU-based Gait Analysis for Rehabilitation Assessment of Patients with Gait Disorders[A],2017,622-626
[102]Qiu, Sen,Wang, Zhelong,Zhao, Hongyu,Hu, Huosheng.Heterogeneous data fusion for three-dimensional gait analysis using wearable MARG sensors[A],2017,14(3):222-233
[103]仇森,王哲龍,趙紅宇.Gait Analysis for Physical Rehabilitation via Body-Worn Sensors and Multi-information Fusion[A],2017
[104]Li, Jie,Wang, Zhelong,Jiang, Yongmei,Qiu, Sen,Wang, JiaXing,Tang, Kai.Networked Gesture Tracking System Based on Immersive Real-Time Interaction[A],2017,139-144
[105]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],2017,2017-January:3653-3658
[106]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 Actio...[A],2017,412-416
[107]仇森,王哲龍,趙紅宇,覃開蓉.Inertial/magnetic sensors based pedestrian dead reckoning by means of multi-sensor fusion[J],Information Fusion,2017,39:108-119
[108]仇森,王哲龍,趙紅宇.Heterogeneous data fusion for three-dimensional gait analysis using wearable MARG sensors[J],International Journal of Computational Science and Engineering,2017
[109]趙紅宇,王哲龍,仇森,申彥明.Examination of Gait Disorders in Hemiparesis Patients using Foot-Mounted Inertial Sensors[A],2017
[110]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],2017,1:116-121
[111]姜鳴,仇森,張志,趙洋.基于慣性測(cè)量器件的無線步態(tài)分析平臺(tái)[J],大連理工大學(xué)學(xué)報(bào),2016,56(5):518-524
[112]Wang, Jiaxin,Wang, Zhelong,Zhao, Hongyu,Qiu, Sen.Human Motion Phase Segmentation Based on Three New Features[A],2016,647-652
[113]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
[114]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
[115]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
[116]Wang, Zhelong,Qiu, Sen.Foot motion measurement for home based rehabilitation using distributed wearable sensor[A],2015
[117]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],2014,191-196
[118]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
[119]Jiang M.,Qiu S..Relearning probability neural network for monitoring human behaviors by using wireless sensor net...[A],2013,7952 LNCS(PART 2):473-480
[120]Wang, Zhelong,Qiu, Sen,Cao, Zhongkai,Jiang, Ming.Quantitative assessment of dual gait analysis based on inertial sensors with body sensor networ...[J],SENSOR REVIEW,2013,33(1):48-56
[121]Wang Z.,Zhao H.,Shang H.,Qiu S..An improved particle filter for multi-feature tracking application[A],2012,522-527
所獲榮譽(yù):
1、 “興遼英才”青年拔尖人才。
2、入選斯坦福全球前 2% 頂尖科學(xué)家榜單。
3、大連市高層次人才。
4、大連理工大學(xué)“星海骨干”。
5、教育部科技發(fā)展中心優(yōu)秀借調(diào)干部。
6、優(yōu)秀班主任,優(yōu)秀共產(chǎn)黨員。
所獲獎(jiǎng)勵(lì):
獲全國(guó)教師教育教學(xué)信息化交流活動(dòng)一等獎(jiǎng),全國(guó)教育仿真優(yōu)秀教學(xué)案例一等獎(jiǎng),遼寧省高等教育教學(xué)成果二等獎(jiǎng),校教學(xué)創(chuàng)新大賽二等獎(jiǎng),校講課競(jìng)賽二等獎(jiǎng),校教學(xué)質(zhì)量?jī)?yōu)良獎(jiǎng),
1、中國(guó)石油和化學(xué)工業(yè)聯(lián)合會(huì)科技進(jìn)步獎(jiǎng)。
2、大連理工大學(xué)青年教師講課競(jìng)賽 (2019-11-27)。
3、校教學(xué)質(zhì)量?jī)?yōu)良獎(jiǎng) (2019-09-01 )。
4、INTECH 國(guó)際會(huì)議最佳論文獎(jiǎng) (2014年)。
5、12th International Conference on Body Area Networks 國(guó)際會(huì)議最佳應(yīng)用論文獎(jiǎng) (2017-09-29)。
6、AJWIT 最佳論文報(bào)告獎(jiǎng) (2012年)。
7、遼寧省自然科學(xué)學(xué)術(shù)成果二等獎(jiǎng) (2017年)。
8、大連市優(yōu)秀科技成果獎(jiǎng) (2017-10-01)。
9、大連-青森(日本)IT商業(yè)大賽最優(yōu)秀獎(jiǎng) (2012年)。
10、大連理工大學(xué)優(yōu)秀班主任 (2019年)。
11、大連理工大學(xué)電信學(xué)部?jī)?yōu)秀共產(chǎn)黨員 (2018年)。
團(tuán)隊(duì)成員 Research Group:
智能系統(tǒng)實(shí)驗(yàn)室
大連理工大學(xué)智能系統(tǒng)實(shí)驗(yàn)室致力于體感網(wǎng)、人體動(dòng)作的監(jiān)測(cè)與識(shí)別、智能穿戴式系統(tǒng)和仿生機(jī)器人系統(tǒng)等領(lǐng)域的研究。 本實(shí)驗(yàn)室承擔(dān)了國(guó)家科技重大專項(xiàng)項(xiàng)目,國(guó)家863計(jì)劃項(xiàng)目,國(guó)家科技支撐計(jì)劃項(xiàng)目,國(guó)家地震行業(yè)科研專項(xiàng)基金(行業(yè)863項(xiàng)目),國(guó)家自然科學(xué)基金項(xiàng)目,大連市發(fā)改委項(xiàng)目,大連市軟件專項(xiàng)項(xiàng)目和多項(xiàng)橫向課題。 歡迎訪問智能系統(tǒng)實(shí)驗(yàn)室。
研究團(tuán)隊(duì)網(wǎng)址:http://lis.dlut.edu.cn/
個(gè)人研究主頁:https://www.researchgate.net/profile/Sen_Qiu
http://www.researcherid.com/rid/V-5718-2018
https://scholar.google.com/citations?user=zc0KssoAAAAJ&hl=en
面向人民生命健康,探索人-機(jī)-環(huán)境融合之路
——記大連理工大學(xué)副教授仇森
2024-03-12
當(dāng)前,以人工智能、大數(shù)據(jù)為代表的新一輪科技革命和產(chǎn)業(yè)革命推動(dòng)醫(yī)學(xué)發(fā)展進(jìn)入了新的階段,我國(guó)的衛(wèi)生健康事業(yè)發(fā)展面臨著新的挑戰(zhàn)。根據(jù)“健康中國(guó)”戰(zhàn)略要求,實(shí)施醫(yī)工交叉是我國(guó)醫(yī)療技術(shù)創(chuàng)新發(fā)展的必由之路,也是傳統(tǒng)工科煥發(fā)新活力的重要途徑。在新時(shí)代使命的感召下,千千萬萬的科研工作者把個(gè)人理想融入國(guó)家發(fā)展偉業(yè),為人民生活質(zhì)量實(shí)質(zhì)躍升持續(xù)貢獻(xiàn)智慧和力量。大連理工大學(xué)副教授仇森亦是其中一員,從求學(xué)立志,到授業(yè)解惑,他始終牢記自己的初心——利用自動(dòng)化和人工智能技術(shù),為國(guó)家和百姓謀福利。
醫(yī)工結(jié)合,一起向未來
早在20世紀(jì)70年代,一些世界頂尖的研究型大學(xué)就已經(jīng)開始投入巨資開展醫(yī)工結(jié)合學(xué)科研究。幾十年來,全球的醫(yī)工結(jié)合實(shí)踐已取得一系列突破性成果。其中,融多模態(tài)信息、人機(jī)交互、健康監(jiān)測(cè)等技術(shù)為一體的可穿戴智能設(shè)備是近幾年備受關(guān)注的方向之一。
▲仇森(右)作大會(huì)學(xué)術(shù)報(bào)告,與人-機(jī)-環(huán)境系統(tǒng)工程學(xué)科創(chuàng)始人龍升照合影
臨床中常見的可穿戴智能設(shè)備有心電圖檢測(cè)儀、血壓檢測(cè)儀、除顫儀等,它們可在軟件支持下感知、記錄、分析、調(diào)控、干預(yù)甚至治療疾病或維護(hù)大眾的健康狀態(tài)。但傳統(tǒng)的醫(yī)療健康護(hù)理一直集中在特定的醫(yī)療機(jī)構(gòu),病患必須到這些場(chǎng)所才能獲取相關(guān)的檢測(cè)或者治療,這種模式意味著遠(yuǎn)距離的交通行程,以及給日常生活和工作帶來不便。面對(duì)我國(guó)的醫(yī)療需求缺口和日益增長(zhǎng)的遠(yuǎn)程醫(yī)療需求,發(fā)展具有低負(fù)荷、可移動(dòng)操作、使用簡(jiǎn)便、支持長(zhǎng)時(shí)連續(xù)工作和無線數(shù)據(jù)傳輸?shù)忍攸c(diǎn)的可穿戴智能設(shè)備已成熱潮。
在人體傳感器網(wǎng)絡(luò)方面,仇森等人研發(fā)了一套基于體域傳感器網(wǎng)絡(luò)的馬術(shù)治療分析與評(píng)估系統(tǒng)設(shè)備。馬術(shù)治療是一種用于治療神經(jīng)性疾病的全方位治療手段。但是,由于數(shù)據(jù)獲取相對(duì)困難、評(píng)估方法單一,制約了它的進(jìn)一步的發(fā)展。而仇森帶領(lǐng)團(tuán)隊(duì)研制的這套系統(tǒng)設(shè)備可通過在騎手和馬的關(guān)鍵部位布置慣性傳感器,采集馬術(shù)運(yùn)動(dòng)過程中的運(yùn)動(dòng)信息,通過數(shù)據(jù)融合方法,進(jìn)行運(yùn)動(dòng)學(xué)分析。同時(shí)通過對(duì)存在運(yùn)動(dòng)功能障礙的兒童病患在參與馬術(shù)治療前后的康復(fù)情況進(jìn)行統(tǒng)計(jì),驗(yàn)證馬術(shù)治療的有效性。
在人體動(dòng)作的監(jiān)測(cè)與識(shí)別方面,仇森及其團(tuán)隊(duì)與大連醫(yī)科大學(xué)附屬第一醫(yī)院、本溪鐵路醫(yī)院合作,采集了包括腦卒中、帕金森病和脊髓型頸椎病等患者的步態(tài)數(shù)據(jù)約400例,設(shè)計(jì)實(shí)現(xiàn)了三維步態(tài)分析系統(tǒng)。步態(tài)分析在很多領(lǐng)域,如運(yùn)動(dòng)康復(fù)醫(yī)學(xué)、雙足機(jī)器人控制和步態(tài)識(shí)別領(lǐng)域都有很重要的意義。傳統(tǒng)的步態(tài)測(cè)量借助秒表和米尺使用目測(cè)方法及足印法得到步態(tài)的信息,人為因素造成的誤差非常大。為了更精確地測(cè)量人行走過程中的步長(zhǎng)、步速、步頻和步行時(shí)相劃分,團(tuán)隊(duì)使用慣性測(cè)量單元并結(jié)合無線傳感器網(wǎng)絡(luò)(ZigBee),直接測(cè)量人在步行過程中下肢的加速度和角速度變化,通過無線網(wǎng)絡(luò)傳送到上位機(jī)。在上位機(jī)軟件中,通過數(shù)字濾波、閾值檢測(cè)、傳感器數(shù)據(jù)融合得到被測(cè)者的三維步態(tài)參數(shù),最后將結(jié)果存儲(chǔ)在數(shù)據(jù)庫并顯示在上位機(jī)界面,測(cè)量及輔助診斷效率遠(yuǎn)超傳統(tǒng)步態(tài)分析方法。目前,這套人體步態(tài)分析系統(tǒng)已通過遼寧省醫(yī)療器械檢驗(yàn)檢測(cè)院的安全規(guī)范和電磁兼容(EMC)測(cè)試,打通成果轉(zhuǎn)化“最后一公里”指日可待。
在心理負(fù)荷檢測(cè)方面,仇森及其團(tuán)隊(duì)正著手研發(fā)基于多源情感信息感知的乳腺癌并發(fā)抑郁障礙智能診斷系統(tǒng),以期為芳香療法研究提供數(shù)據(jù)支撐。他們定制化設(shè)計(jì)了便攜式腦波采集儀、心率手表、慣性傳感器心率帶等一系列可穿戴設(shè)備,輕量化、便攜式的設(shè)計(jì)大幅減少了對(duì)佩戴者日常活動(dòng)的影響,可長(zhǎng)期、精準(zhǔn)、有效地采集其心理負(fù)荷變化信息,并結(jié)合功能性磁共振成像(fMRI)做到準(zhǔn)確分析。
輔助評(píng)估治療方案的效果、輔助診斷患者病情發(fā)展?fàn)顩r、常態(tài)化隨身健康監(jiān)測(cè)……將大數(shù)據(jù)與人工智能前沿技術(shù)融入醫(yī)療領(lǐng)域,為早發(fā)現(xiàn)、早診斷、早干預(yù)各類疾病,保障人民生命健康提供助力——這個(gè)踏上研究之路時(shí)樹立的理想,仇森真正做到了。但對(duì)他而言,當(dāng)前取得的一些成果,僅僅是在構(gòu)筑、完善這一理想的路上邁出的一小步,未來仍舊任重道遠(yuǎn)。
今天,隨著人民的健康需求從傳統(tǒng)且比較單一的疾病治療,轉(zhuǎn)變?yōu)轭A(yù)防、治療、康復(fù)、健康促進(jìn)等多元化、多層次的健康需求,對(duì)穿戴者的日常活動(dòng)的影響降到最低,以實(shí)現(xiàn)低生理、心理負(fù)荷下的個(gè)人健康管理和對(duì)病人健康狀況實(shí)時(shí)監(jiān)護(hù),并能因此提供全天低成本的健康、心理和行為狀態(tài)監(jiān)測(cè),且更便攜的可穿戴智能設(shè)備,成為這一領(lǐng)域發(fā)展的必然。而這也意味著應(yīng)用到健康領(lǐng)域的可穿戴設(shè)備將會(huì)被提出更加嚴(yán)格的要求。
“當(dāng)前我們還是不能在保障數(shù)據(jù)精準(zhǔn)度的同時(shí),做到輕量化和無感計(jì)算,也就是讓人感受不到外物,不知不覺間完成數(shù)據(jù)的收集和分析。這些既是我們發(fā)展所面臨的痛點(diǎn),也是未來的突破口。所以我們就想能不能以后就把它織到衣物里面,或者嵌到鞋子里面,不需要用戶額外佩戴設(shè)備。”仇森如是說。這不僅僅是其個(gè)人,也是這一領(lǐng)域許多科學(xué)家十分看好的未來發(fā)展趨勢(shì)之一,大家都在為此而不懈努力著。他們相信,隨著微型可穿戴傳感器、智能紡織品、微電子學(xué)和無線通信等科學(xué)技術(shù)進(jìn)步的推動(dòng),這一天不會(huì)太遙遠(yuǎn)。
一切都是最好的安排
從求學(xué)立志算起,到如今授業(yè)解惑,仇森踏入控制理論與控制工程領(lǐng)域已有十余載。立足當(dāng)下,回首過往,他發(fā)自內(nèi)心地感嘆道:“一切都是最好的安排。”
將時(shí)光撥回2005年,凌水河畔,黃海之濱,初入大學(xué)校園的仇森意氣風(fēng)發(fā)中還帶著些許迷茫。是大連理工大學(xué)里和藹可親的師長(zhǎng)幫他撥開眼前迷霧,是大連理工的紅色基因培養(yǎng)了他的家國(guó)情懷,是大連理工“海納百川、自強(qiáng)不息、厚德篤學(xué)、知行合一”的校訓(xùn)精神賦予他無限攀登的勇氣……在母校的陪伴和培養(yǎng)下,仇森收獲了一生取之不盡的財(cái)富。
在這里,仇森遇到了自己的科研引路人。“我特別感謝我的導(dǎo)師王哲龍教授,他是遼寧省優(yōu)秀專家。我從2009年本科畢業(yè)設(shè)計(jì)開始跟著王老師一起學(xué)習(xí),第一塊電路板制作,第一次濾波器電路設(shè)計(jì)工作,第一次獨(dú)立承擔(dān)課題……我一直深受王老師嚴(yán)謹(jǐn)治學(xué)精神的影響,受益良多。”在這里,他遇到了一大批榜樣前輩。“比如我們控制學(xué)院的孫希明老師,作為第一完成人在2020年拿到了國(guó)家自然科學(xué)獎(jiǎng)二等獎(jiǎng)。作為他的助理,我能夠更加近距離地感受到科研人的使命擔(dān)當(dāng),深受激勵(lì),也獲得了很多的成長(zhǎng)。”在這里,他完成了從學(xué)生到為人師的轉(zhuǎn)變。也是在這里,他先后入選大連理工大學(xué)“星海骨干”人才、大連市高層次人才、遼寧省“興遼英才”青年拔尖人才,并被列入2022年度斯坦福全球前2%頂尖科學(xué)家榜單。
任教多年以來,仇森始終與學(xué)生坦誠(chéng)相待,尊重學(xué)生興趣。在人才培養(yǎng)方面,他指導(dǎo)的學(xué)生多次獲評(píng)國(guó)家獎(jiǎng)學(xué)金、電信學(xué)部科研創(chuàng)新之星等;指導(dǎo)畢業(yè)的研究生入職中國(guó)航發(fā)集團(tuán)、上海航天研究所、海信集團(tuán)、九號(hào)機(jī)器人、北京萬集等科研機(jī)構(gòu)。在基礎(chǔ)課堂教學(xué)方面,他創(chuàng)新性地將增強(qiáng)現(xiàn)實(shí)技術(shù)(AR)和虛擬現(xiàn)實(shí)技術(shù)(VR)與教材相結(jié)合,編寫了國(guó)內(nèi)第一本《VR/AR電機(jī)與拖動(dòng)基礎(chǔ)》教材,在廣大師生之間取得了良好反響。
2020年10月到2022年1月,仇森被借調(diào)至教育部科技發(fā)展中心,主要參與教育部重點(diǎn)實(shí)驗(yàn)室、教育部工程研究中心評(píng)估、霍英東青年科技獎(jiǎng)勵(lì)和教育教學(xué)獎(jiǎng)勵(lì)評(píng)審,以及多個(gè)國(guó)家級(jí)人才項(xiàng)目的形式審查工作。這段經(jīng)歷讓他對(duì)國(guó)家的科技發(fā)展和人才政策與導(dǎo)向有了更深層次的理解。如今,作為控制科學(xué)與工程學(xué)院副院長(zhǎng),仇森在扎根國(guó)家民委-教育部蒙醫(yī)藥研發(fā)工程重點(diǎn)實(shí)驗(yàn)室開放課題研究的同時(shí),也承擔(dān)起了重點(diǎn)實(shí)驗(yàn)室、工程中心、英歌石科學(xué)城等科研平臺(tái)的搭建工作,以及學(xué)科方向規(guī)劃和一流學(xué)科建設(shè)工作。“有平臺(tái),我們才能夠吸引人才、匯聚人才,才能夠凝聚力量去做一些真正的符合國(guó)家戰(zhàn)略導(dǎo)向的‘大科研’。”仇森說,“這個(gè)工作過程,也是更好地了解國(guó)家需求、開拓個(gè)人研究方向的過程。我們科研人,就是應(yīng)該要從‘能做什么就做什么’,變成‘國(guó)家需要做什么,我們就順應(yīng)天時(shí)地利人和去努力做什么’。”以行動(dòng)回應(yīng)時(shí)代呼喚,響應(yīng)國(guó)家戰(zhàn)略需求,就是一位科研人對(duì)家國(guó)情懷的最好詮釋。
來源:科學(xué)中國(guó)人 2024年第2期
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