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学术链接

     个人学术主页@不来梅大学
0000-0002-6850-9570
GyLOsRwAAAAJ
Hui-Liu-149
57196004640
2146672447
ACZ-9903-2022
欢迎您将最新学术成果投稿:
《采集、处理、建模或利用生物医学和生理信号的新颖技术》
《肌电和脑电传感技术在生物医学领域的应用》
《面向人体动作的传感器研究 卷III》

研究领域


谷歌“世界科学家影响力按领域标签排名”:
● 生物信号 Biosignals (15)
● 隐马尔可夫模型 Hidden Markov Models (4)
● 多源传感器数据融合 Sensor Data Fusion (17)
● 民族音乐 Folk Music (2)
● 中国音乐 Chinese Music (1)


研发出第一款辅助医疗康复的智能膝盖绷带,实现了:
● 多模态可穿戴式传感器在膝盖绷带上的集成方案
● 多源异构数据实时处理软件平台
● 实时人体动作识别
12届国际生医工程系统和技术联合会议 最佳论文(学生作者)

论文发表(54)

  |    
Sensors for Human Activity Recognition II. Liu, H., Gamboa, H., and Schultz, T. (2024). MDPI.
Proceedings of the 17th International Joint Conference on Biomedical Engineering Systems and Technologies – (Volume 1). Guarino, M. P., Hotta, K., Yousef, M., Liu, H., Saggio, G., Fred, A., and Gamboa, H. (2024). INSTICC.
                   10.5220/0000184700003657
Sensors for Human Activity Recognition. Liu, H., Gamboa, H., and Schultz, T. (2023). MDPI.
                             10.3390/books978-3-0365-7555-1
Biosignal Processing and Activity Modeling for Multimodal Human Activity Recognition. Liu, H. (2021). PhD thesis, University of Bremen.
                             10.26092/elib/1219
  |    
Muscle Synergy and Co-Contraction Effects on Joystick Manipulation. Ouyang, C., Cai, L.*, Yan, S., Zhang, T., Zhu, J., Chen, L., and Liu, H.* (2024). Biomedical Engineering Systems and Technologies, Springer Nature Switzerland
EMG-Based Action Unit Recognition: Feature Engineering, Machine Learning, and Real-Time Classification. Liu, H.*, Veldanda, A., Koschke, R., Schultz, T., and Küster, D.* (2024). Biomedical Engineering Systems and Technologies, Springer Nature Switzerland
Human Activity Recognition, Monitoring, and Analysis Facilitated by Novel and Widespread Applications of Sensors. Liu, H.*, Gamboa, H., and Schultz, T. (2024). Sensors, 24(15):5250.
                        10.3390/s24165250
High-Level Features for Human Activity Recognition and Modeling. Hartmann, Y.*, Liu, H., and Schultz, T. (2023). Biomedical Engineering Systems and Technologies. Springer Nature Switzerland.
                             10.1007/978-3-031-38854-5_8     
Sensor-Based Human Activity and Behavior Research: Where Advanced Sensing and Recognition Technologies Meet. Liu, H.*, Gamboa, H., and Schultz, T. (2023). Sensors, 23(1):125.
                        10.3390/s23010125     
     |  (top 0.1% on )  |  (top 1%)
Robust Human Interaction Recognition Using Extended Kalman Filter. Jalal, A., Bukht, T. F. N., Alazeb, A., Al Mudawi, N., Alabdullah, B, Alnowaiser, Kl., and Liu, H.* (2024). Computer, Materials & Continua. Tech Science Press.
Taxonomy and Real-Time Classification of Artifacts during Biosignal Acquisition: A Starter Study and Dataset of ECG. Liu, H.*, Zhang, S., Gamboa, H., Xue, T., Zhou, C., and Schultz, T. (2024). IEEE Sensors Journal, 24(6):9162-9171.
                             10.1109/JSEN.2024.3356651
MS2OD: Outlier Detection Using Minimum Spanning Tree and Medoid Selection. Li, J., Li, JW, Wang, C., Verbeek F. J.*, Schultz, T., and Liu, H.* (2024). Machine Learning: Science and Technology, 5:015025. IOPscience.
                        10.1088/2632-2153/ad2492
Muscle Synergies in Joystick Manipulation. Cai, L., Yan, S., Ouyang C., Zhang, T., Zhu, J., Chen, L., Ma, X.*, and Liu, H.* (2023). Frontiers in Physiology, 14:1282295.
                             10.3389/fphys.2023.1282295
Outlier Detection Using Iterative Adaptive Mini-Minimum Spanning Tree Generation with Applications on Medical Data. Li, J., Li, JW, Wang, C, Verbeek, F. J.*, Schultz T., and Liu H.* (2023). Frontiers in Physiology, 14:1233341.
                        10.3389/fphys.2023.1233341
Robust Human Locomotion and Localization Activity Recognition over Multisensory. Khan, D., Alonazi, M., Abdelhaq, M.*, Al Mudawi, N., Algarni, A., Jalal, A.*, and Liu, H.* (2024). Frontiers in Physiology, 15:1344887.
                        10.3389/fphys.2024.1344887
Efficient Wi-Fi-Based Human Activity Recognition Using Adaptive Antenna Elimination. Jannat, M.K.A., Islam, M.S., Yang, S-H*, and Liu, H.* (2023). IEEE Access, 11:105440-105454.
                             10.1109/ACCESS.2023.3320069
Biosensor-Driven IoT Wearables for Accurate Body Motion Tracking and Localization. Almujally, N. A., Khan, D., Al Mudawi, N, Alonazi, M., Alazeb, A., Algarni, A., Jalal, A.*, and Liu, H.* (2024). Sensors 24(10):3032.
                        10.3390/s24103032
TPRO-NET: An EEG-Based Emotion Recognition Method Reflecting Subtle Changes in Emotion. Zhang, X., Cheng, X.*, and Liu, H.* (2024). Scientific Reports, 14:13491. Springer Nature.
                             10.1038/s41598-024-62990-4
Semantic Segmentation and YOLO Detector over Aerial Vehicle Images. Quresh, A. M., Butt, A. H., Alazeb, A., Al Mudawi, N., Alonazi, M., Almujally, N. A., Jalal, A., and Liu, H.* (2024). Computer, Materials & Continua, 80(2):3315-3332. Tech Science Press.
                   10.32604/cmc.2024.052582
Template-Based Synergy Extrapolation Analysis for Prediction of Muscle Excitations. Li, K., Wang, D., Chen, Z, Guo, D, Pan, S., Liu, H., Zhou, C.*, and Ye, X.* (2024). Physiological Measurement. IOPScience.
                        10.1088/1361-6579/ad7776
A Robust Multimodal Detection: Physical Exercise Monitoring in Long-Term Care Environments. Al Mudawi, N, Batool M., Alazeb A., Alqahtani Y., Almujally, N. A., Algarni A., Jalal, A.*, and Liu, H.* (2024). Frontiers in Bioengineering and Biotechnology, 12:.1398291.
                   10.3389/fbioe.2024.1398291
Innovative Healthcare Solutions: Robust Hand Gesture Recognition of Daily Life Routines Using 1D CNN. Al Mudawi, N, Ansar, H., Alazeb, A., Aljuaid, H., Alqahtani, Y., Algarni, A., Jalal, A.*, and Liu, H.* (2024). Frontiers in Bioengineering and Biotechnology, 12:1401803.
                   10.3389/fbioe.2024.1401803
Remote Intelligent Perception System for Multi-Object Detection. Alazeb, A., Chughtai, B. R., Al Mudawi, N., Alqahtani, Y., Alonazi, M., Aljuaid, H., Jalal, A.*, and Liu, H.* (2024). Frontiers in Neurorobotics, 18:1398703.
                   10.3389/fnbot.2024.1398703
Multi-Modal Remote Perception Learning for Object Sensory Data. Almujally, N. A., Rafique, A. A., Mudawi, N. A., Alazeb, A., Alonazi, M., Algarni, A., Jalal, A.*, and Liu, H.* (2024). Frontiers in Neurorobotics.
                   10.3389/fnbot.2024.1427786
Enhanced Data Mining and Visualization of Sensory-Graph-Modeled Datasets through Summarization. Hashmi, S. J., Alabdullah, B., Al Mudawi, N., Algarni, A., Jalal, A.*, and Liu, H.* (2024). Sensors, 24(14):4554.
                   10.3390/s24144554
Understanding Naturalistic Facial Expressions with Deep Learning and Multimodal Large Language Models. Bian, Y., Küster, D., Liu H., and Krumhuber, E. G.* (2024). Sensors, 24(1):126.
                        10.3390/s24010126
Cardiorespiratory Response to Workload Volume and Ergonomic Risk: Automotive Assembly Line Operators’ Adaptations. Furk, D., Silva, L.*, Dias, M., Fujão, C., Probst, P., Liu, H., Gamboa, H. (2024). Applied Sciences, 14(9):3921.
                        10.3390/app14093921
Hybrid Modeling on Reconstitution of Continuous Arterial Blood Pressure Using Finger Photoplethysmography. Shi, W., Zhou, C., Zhang, Y., Li, K., Ren, X., Liu, H.*, and Ye, X.* (2023). Biomedical Signal Processing and Control, 85:104972. Elsevier.
                        10.1016/j.bspc.2023.104972
Feature-Based Information Retrieval of Multimodal Biosignals with a Self-Similarity Matrix: Focus on Automatic Segmentation. Rodrigues, J.*., Liu, H.* (co-first), Folgado, D., Belo, D., Schultz, T., and Gamboa, H.* (2022). Biosensors, 12(12):1182. MDPI.
                        10.3390/bios12121182
Bell Shape Embodying Zhongyong: The Pitch Histogram of Traditional Chinese Anhemitonic Pentatonic Folk Songs. Liu, H.*, Jiang, K., Gamboa, H., Xue, T., and Schultz, T. (2022). Applied Sciences, 12(16):8343. MDPI.
                                  10.3390/app12168343
TSSEARCH: Time Series Subsequence Search Library. Folgado, D. Barandas, M., Antunes, M., Nunes, M. L., Liu, H., Hartmann, Y., Schultz, T., and Gamboa, H. (2022). SoftwareX, 18:101049. Elsevier.
                                                 10.1016/j.softx.2022.101049
CSL-SHARE: A Multimodal Wearable Sensor-Based Human Activity Dataset. Liu, H.*, Hartmann, Y., and Schultz, T. (2021). Frontiers in Computer Science, 3:759136.
                             10.3389/fcomp.2021.759136
TSFEL: Time Series Feature Extraction Library. Barandas, M., Folgado, D., Fernandes, L., Santos, S., Abreu, M., Bota, P., Liu, H., Schultz, T., and Gamboa, H. (2020). SoftwareX, 11:100456. Elsevier.
                                            10.1016/j.softx.2020.100456     (Top-cited on Software X)
     |  Best Paper   |  Best Paper Finalists
LSTM-MorA: Melody-Accompaniment Classification of MIDI Tracks. Liu, H.*, Flaack, L., Zhang, S., and Schultz, T. (2024). In ICANN 2024 - 33rd International Conference on Artificial Neural Networks, pages 443-485. Springer, Cham.
                        10.1007/978-3-031-72356-8_29     
Examining the Effects of Human-Likeness of Avatars on Emotion Perception and Emotion Elicitation. Zhang, S., Faruk, O., Porzel, R., Küster, D., Schultz, T., and Liu, H. (2024). In ABC 2024 - 6th International Conference on Activity and Behavior Computing, pages 1-12. IEEE.
                        10.1109/ABC61795.2024.10652090
Comfort Assessment Method of EEG-Based Exoskeleton Walking-Assistive Device. Zhou, C., Wang, H., Li, K., Liu, H., and Ye, X. (2024). In BIOSTEC 2024 - Proceedings of the 17th International Joint Conference on Biomedical Engineering Systems and Technologies - BIOSIGNALS, pages 675-682. INSTICC, SciTePress.
                        10.5220/0012564800003657
Can Electromyography Alone Reveal Facial Action Units? A Pilot EMG-Based Action Unit Recognition Study with Real-Time Validation. Veldanda, A., Liu, H., Koschke, R., Schultz, T., and Küster, D. (2024). In BIOSTEC 2024 - Proceedings of the 17th International Joint Conference on Biomedical Engineering Systems and Technologies - BIODEVICES, pages 142–151. INSTICC, SciTePress.
                        10.5220/0012399100003657
Really Can't Hold on Anymore? Physiological Indicators Versus Self-Reported Motivation Drop During Jogging. Zhang, S., Kolensnikov, S., Rennspieß, T., Porzel, R., Schultz, T., and Liu, H. (2024). In BIOSTEC 2024 - Proceedings of the 17th International Joint Conference on Biomedical Engineering Systems and Technologies - BIOSIGNALS, pages 821-831. INSTICC, SciTePress.
                        10.5220/0012577300003657
Associating Endpoint Accuracy and Similarity of Muscle Synergies. Cai, L., Yan, S., Ouyang, C., Zhang, T., Zhu, J., Chen, L., and Liu, H. (2024). In BIOSTEC 2024 - Proceedings of the 17th International Joint Conference on Biomedical Engineering Systems and Technologies - BIOSIGNALS, pages 683-694. INSTICC, SciTePress.
                        10.5220/0012586800003657
Integrated Driver Pose Estimation for Autonomous Driving. Cao, X., Hu, W., and Liu, H. (2024). In BIOSTEC 2024 - Proceedings of the 17th International Joint Conference on Biomedical Engineering Systems and Technologies - BIOSIGNALS, pages 695-702. INSTICC, SciTePress.
                        10.5220/0012639400003657
On a Real Real-Time Wearable Human Activity Recognition System. Liu, H., Xue, T., and Schultz, T. (2023). In BIOSTEC 2023 - Proceedings of the 16th International Joint Conference on Biomedical Engineering Systems and Technologies - WHC, pages 711-720. INSTICC, SciTePress.
                        10.5220/0011927700003414
Merged Pitch Histogram and Pitch-Duration Histogram. Liu, H., Xue, T., and Schultz, T. (2022). In SIGMAP 2022 - Proceedings of the 19th International Conference on Signal Processing and Multimedia Applications, pages 32-39. INSTICC, SciTePress.
                        10.5220/0011310300003289     (Best Paper Award Finalist)
Interactive and Interpretable Online Human Activity Recognition. Hartmann, Y., Liu, H., and Schultz, T. (2022). In PERCOM 2022 - 20th IEEE International Conference on Pervasive Computing and Communications Workshops and other Affiliated Events, pages 109–111. IEEE.
                        10.1109/PerComWorkshops53856.2022.9767207
A Practical Wearable Sensor-Based Human Activity Recognition Research Pipeline. Liu, H., Hartmann, Y., and Schultz, T. (2022). In BIOSTEC 2022 - Proceedings of the 15th International Joint Conference on Biomedical Engineering Systems and Technologies - Volume 5: HEALTHINF, pages 851-860. INSTICC, SciTePress.
                        10.5220/0010937000003123
How Long Are Various Types of Daily Activities? Statistical Analysis of a Multimodal Wearable Sensor-Based Human Activity Dataset. Liu, H., and Schultz, T. (2022). In BIOSTEC 2022 - Proceedings of the 15th International Joint Conference on Biomedical Engineering Systems and Technologies - Volume 5: HEALTHINF, pages 684-692. INSTICC, SciTePress.
                        10.5220/0010896400003123
Interpretable High-Level Features for Human Activity Recognition. Hartmann, Y., Liu, H., Lahrberg, S., and Schultz, T. (2022). In BIOSTEC 2022 - Proceedings of the 15th International Joint Conference on Biomedical Engineering Systems and Technologies - Volume 4: BIOSIGNALS, pages 40-49. INSTICC, SciTePress.
                        10.5220/0010840500003123     (Best Student Paper Award Finalist)
Hidden Markov Model and Its Application in Human Activity Recognition and Fall Detection: A Review. Xue, T., and Liu, H. (2022). Communications, Signal Processing, and Systems. Springer, Singapore.
                             10.1007/978-981-19-0390-8_108     
Motion Units: Generalized Sequence Modeling of Human Activities for Sensor-Based Activity Recognition. Liu, H., Hartmann, Y., and Schultz, T. (2021). In EUSIPCO 2021 - 29th European Signal Processing Conference. IEEE.
                        10.23919/EUSIPCO54536.2021.9616298
Feature Space Reduction for Human Activity Recognition Based on Multi-Channel Biosignals. Hartmann, Y., Liu, H., and Schultz, T. (2021). In BIOSTEC 2021 - Proceedings of the 14th International Joint Conference on Biomedical Engineering Systems and Technologies - Volume 4: BIOSIGNALS, pages 215-222. INSTICC, SciTePress.
                        10.5220/0010260802150222
Feature Space Reduction for Multimodal Human Activity Recognition. Hartmann, Y., Liu, H., and Schultz, T. (2020). In BIOSTEC 2020 - Proceedings of the 13th International Joint Conference on Biomedical Engineering Systems and Technologies - Volume 4: BIOSIGNALS, pages 135–140. INSTICC, SciTePress.
                        10.5220/0008851401350140
A Wearable Real-Time Human Activity Recognition System using Biosensors Integrated into a Knee Bandage. Liu, H., and Schultz, T. (2019). In BIOSTEC 2019 - Proceedings of the 12th International Joint Conference on Biomedical Engineering Systems and Technologies - Volume 1: BIODEVICES, pages 47–55. INSTICC, SciTePress.
                        10.5220/0007398800470055     (Best Paper Award, Student Author)
ASK: A Framework for Data Acquisition and Activity Recognition. Liu, H., and Schultz, T. (2018). In BIOSTEC 2018 - Proceedings of the 11th International Joint Conference on Biomedical Engineering Systems and Technologies - Volume 3: BIOSIGNALS, pages 262–268. INSTICC, SciTePress.
                        10.5220/0006732902620268
Bremen Big Data Challenge 2017: Predicting University Cafeteria Load. Weiner, J., Diener, L., Stelter, S., Externest, E., Kühl, S., Herff, C., Putze, F., Schulze, T., Salous, M., Liu, H., Küster, D., and Schultz, T. (2017). KI 2017: Advances in Artificial Intelligence. Springer, Cham.
                                  10.1007/978-3-319-67190-1_35     
Capacity of Cooperative Ad Hoc Networks with Heterogeneous Traffic Patterns. Liu, H., and Wang, X. (2011). In ICC 2011 - IEEE International Conference on Communications, pages 1–5. IEEE.
                        10.1109/icc.2011.5963075

学界贡献

编委 Engineering Research Express
in Big Data
in Artificial Intelligence
编辑 in Behavioral Neuroscience
特邀编委 Innovative Technologies of Acquiring, Processing, Modeling, or Utilizing Biomedical and Physiological Signals from Biosensing
Electroencephalogram/Electromyogram-Based Sensing Technologies for Biomedical Applications: Challenges and Possible Applications
Sensors for Human Activity Recognition: 1st Edition
Sensors for Human Activity Recognition: 2nd Edition
Sensors for Human Activity Recognition: 3rd Edition
学术会议 Program Chair (PC) – 17th International Conference on Bio-Inspired Systems and Signal Processing (in ), 意大利罗马
学术会议 Technical Program Co-Chair (Co-TPC) 2024 – 2nd International Conference on Artificial Intelligence and Human-Computer Interaction, 中国昆明
学术会议 Area Chair (AC) - 33rd International Conference on Artificial Neural Networks, 瑞士卢加诺
- 7th Asia Conference on Cognitive Engineering and Intelligent Interaction, 新加坡
学术会议 Publicity Chair - 2nd International Conference on AI-generated Content, 中国北京
学术会议 Session Chair - 15th International Conference on Health Informatics, Vienna, Austria
- 19th International Conference on Signal Processing and Multimedia Applications, Lisbon, Portugal
- 16th International Joint Conference on Biomedical Engineering Systems and Technologies, Lisbon, Portugal
审稿人 ● 43本国际期刊,包括Nat. Commun.、IEEE Sens. J.、Biomed. Signal Process. Control、Geo-Spat. Inf. Sci., Remote Sens.、Front. Plant Sci.、Front Bioeng. Biotechnol.、Physiol. Meas.、Phys. Scr.、 ISPRS Int. J. Geo-Inf.、Biomimetics、Biosensors等
● 多个国际会议, 包括IEEE BSN, BHI; ACM ICMI, ISWC, AUTOMOTIVEUI; ITP
IOP Trusted Reviewer 表彰“极其高水平的同行评审胜任力”(an exceptionally high level of peer review competency
● Sensors 2023 最佳审稿人奖
主讲人 同济大学中德工程学院,德国杜塞尔多夫,2018:学术与艺术
– 第12届国际生物医学工程系统和技术联合会议,捷克布拉格,2019:From Offline towards Real-Time (Tutorial)
卡尔斯鲁厄理工学院KD2school适应性系统年度座谈会,德国卡尔斯鲁厄,2022:智能膝盖绷带
开源代码库、大数据和在线教程贡献者 Biosignals Notebooks:传感器信号处理和人工智能线上教程和代码集
TSFEL:时序信号特征提取代码库
TSSEARCH:时序信号子序列搜索代码库
CSL-SHARE: 多模态可穿戴式人体动作传感大数据集
sensORder: 心电采集过程中的各种实时伪影数据集
大数据竞赛负责人 第4届不来梅—北德大数据竞赛 BBDC 2019:(独立承担)大数据采集、处理和提供工作。北德数十所高校的60多支队伍参加最后的角逐
自第9届 BBDC 2024 起:Basic Track总负责人。获得德国近十所高校以及来北德多个教育主管机构的广泛关注与支持

项目基金


Arthrokinemat (2016 — 2019)
● 主研德国联邦经济事务与气侯行动部(BMWi)Arthrokinemat项目
● 康复工程中的集成传感器智能膝盖绷带
● 已经成功结题

NF-BWB (2023 — 2025)
● 主研德国不来梅证券基金会(BWB)资助的NF-BWB"青年英才培养"项目
● 在多所高校普及人工智能和大数据,并举办竞赛

IntEL4CoRo (2021 — 2025)
● 主研德国联邦教育及研究部(BMBF)IntEL4CoRo项目
● 智能机器人设计仿真教学平台

ETAP (2022 — 2025)
● 参与起草德国联邦卫生部(BMG)ETAP项目
● 基于人工智能运动监测的长期护理中半自动化护理优化

欧洲青年研究型大学网络
● YERUN学者:科研流动奖金

葡萄牙新里斯本大学
欧盟伊拉斯谟海外教学奖学金

产研活动


2019年以来
PLUX无线生物信号传感器公司
(葡萄牙里斯本)
● 特聘高级研发工程师
● 组织企业和大学之间的合作研究、教育和社会活动
● 研发实时识别与反馈技术
● 为多模态可穿戴生物医学信号采集软件的开发提供咨询
● 参与开源《Biosignal Notebooks》教程的策划并编写代码、撰写章节
● 规划、协助和开展在公司在德国和亚洲的业务扩展活动
● 派遣和指导博士生、硕士生和本科生进行跨境科研实习或论文答辩
● 发表企业产品的优秀研究成果

不来梅人工智能展览会
德国不来梅 2019
● 技术演示:实时人体动作识别系统
● 互动演示:MR(混合现实)康复辅助游戏平台
● 举办地: 弗劳恩霍夫协会数字医学研究所

“智慧头脑日”展览研讨会
德国不来梅 2021
● 技术演示:人工智能膝盖绷带
● 举办地: 不来梅海外博物馆

CAMPUSiDEEN 2022
商业创意大赛
公共选择奖

金熊猫全球创新创业大赛 2022
成都市人民政府举办
● 欧洲区评委、宣传大使

专业履历


2001 — 2004
上海市市西中学
● 高中,期间获得:
● 全国青少年信息学奥林匹克联赛提高组一等奖
  (证书编号:I030473
● 上海市CASIO杯程序设计竞赛高中组一等奖

2004 — 2007
上海交通大学
电子信息与电气工程学院
通信工程专业
● 本科学位
● 上海交通大学奖学金(三年)

2007 — 2009
柏林工业大学
电子学与信息学系(四系)
信号传输专业
通信质量和适用性专业
机器视觉专业
  
● 第一硕士学位:Diplom-Ingenieur
● 课程平均分:1.0
● 担任研究助理,于
    弗劳恩霍夫协会赫兹通讯研究所

2009 — 2011
上海交通大学
电子信息与电气工程学院
通信与信息系统专业
    
● 第二硕士学位:Master of Science
● 学积分/积点/GPA:3.16/3.3
● GPA排名:1/106
● 国家优秀研究生一等奖学金

2012 — 2013
柏林工业大学
● 科研助理
● 柏林工业大学校长奖学金

2014 — 2016
企业界工作
● 软件工程师
● 负责集成开发项目
  
2016 — 2021
不来梅大学
数学和信息学系(三系)
认知系统实验室(CSL)
● 科研项目和教学工作,2021年获工程学博士学位
● 负责德国联邦经济事务和能源部 Arthrokinemat 项目
● 研发首款实时识别人体动作、辅助康复的智能膝盖绷带
最佳论文奖(学生作者)
● 建立广泛和密切的合作关系:
   卡尔斯鲁厄理工学院
   保尔范运动护具公司等
  
2021年以来
不来梅大学
● 博士后研究员

         
  
2022年以来
新里斯本大学 LIBPhys
仪器、生医工和放射物理所
● YERUN科研流动奖金资助的访问学者

2024年以来
西安建筑科学大学
艺术学院
● 客座教授

教学工作

  
2022年以来
传感器和人体动作研究(英/德)
● 课程负责人
● 研讨会和学习指导
  
2022年以来
认知系统(德)
● 合作教学
● 研讨会和学习指导
  
2017年以来
生物医学信号和用户界面(德)
● 课程组织和电子教学平台、部分授课任务
● 习题课、线下和线上答疑
● 试卷命题人、口试委员
● 虚拟教学和线上同步指导负责人(疫情期间)
  
2020 — 2021
机器学习导论(英)
● 合作教学
● 网络教学视频录制和制作(疫情期间)
● 负责聚类分析和聚类算法
  
2020 — 2021
科学工程实践: RobARinth(德)
● 引导项目实践
● 提供生物信号传感器技术指导
  
2016 — 2018
软件工程II(德)
● 软件设计和软件工程教学
● 指导小组实践
● 组织参与客户会议和客户需求分析
● 指导程序设计和代码优化

2010 — 2011
基本电路理论(英)
● 助教
指导完成的有代表性的优秀本科、硕士毕业论文
2019Yale HartmannImplementation and Optimisation of a Human Activity Recognition System using Sensors integrated into a Knee Bandage
2019Timo UrbanEntwicklung einer mobilen Anwendung für Echtzeit-Visualisierung und Archivierung von mehrkanaliger Biosignalaufnahme mit Bluetooth
2020Lennard MaiAutomatische Segmentierung von Bewegungsdaten eines biosignalbasierten, in einer Kniebandage integrierten HAR Systems
2020Yale HartmannFeature Selection for Multimodal Human Activity Recognition
2021Kilian LüdemannSturzerkennung in Infrarotvideos mit Hilfe von Rekurrenten Neuronalen Netzen
2021Steffen LahrbergDirection Distinguishment in Wearable Sensor-Based Human Activity Recognition Using Cross-Channel Features
2022Tobias DellertData Pipeline in AWS for Real-Time Workload-Monitoring Using HRV- and Inertial-Sensor Data via Mobile APP
2022Wei WangTowards Automatic Heart Sound Segmentation
2023Ciwan GülpinarDevelopment of a Virtual Reality Application for the Real-Time Visualization and Archiving of Biosignals
2024Daniel OttPlattformübergreifende Software-Implementierung für individuelle Tonart-Anpassung mit Validierung der Brauchbarkeit
2024Leon FlaackKlassifizierung von MIDI-Melodiespuren anhand von Long Short-term Memory-Netzwerken
2024Thorben LorenzenErkennung von Finger-Aktivitäten beim Klavierspiel mit EMG
2024Hannes WehrmannAdaption von Musik an die Bewegungsdaten beim Laufen – Implementation und Validierung von ML-Algorithmen für Android-Applikationen
2024Shiyao ZhangReal-Time Artifact Recognition during ECG Acquisition
指导的科研小组部分成员合影(2023/2024)


左:Hasanur、Romina、Johann、Izzie、Daniel、Hannes、Abhinav、Rakibul
右:Nazia、Alenna、Md. Asif、Arthur、Rakubur、Robin、Shiyao、Jie、Ferdinand、Yvo
指导的优秀科研助理以及毕设学生

©Yale Hartmann(德)
科研助理 2018 — 2020
本科毕设 2019 @ 德国不来梅(满分)
硕士毕设 2020 @ 德国不来梅(满分)
    ● 人体动作识别;特征空间降维

→ 不来梅大学博士在读

©Anindya Chowdhury(孟)
科研助理 2019
    ● 数据统计模型


→ 数据分析师 @ 富士胶片欧洲(拉廷根)

©Lennard Mai(德)
本科毕设 2019 @ 德国不来梅
    ● 运动数据自动分割


→ 数据分析师 @ hmmh(不来梅)

©Timo Urban(德)
本科毕设 2019 @ 德国不来梅(满分)
    ● 多模态生物信号采集的安卓应用开发

→ 软件工程师 @ TK保险(汉堡)

©Kilian Lüdemann(德)
本科毕设 2021 @ 德国不来梅(等级:“好”)
    ● 基于RNN的红外视频摔倒识别

→ 软件工程师 @ RealCore集团(埃森)

©Tobias Dellert(德)
本科毕设 2022 @ 格鲁吉亚第比利斯
    ● 基于HRV和惯性传感的实时工作负载监控

→ 数据工程师 @ WearHealth(不来梅)

Isabel de Almeida Curioso(葡)
©NOVA FCT (Twitter)
硕士毕设 2022 @ 葡萄牙里斯本(满分(20),极难获得)
    ● 临床环境下可靠的人工智能:丢失数据恢复

→ 研究员 @ 葡萄牙

©张诗瑶
科研助理和研究小组召集人 自2022
本科毕设 2024 @ 德国不来梅(满分)
    ● 生物信号采集过程中的伪影识别
    ● 实时心电信号处理

→ 硕士研究生 @ 不来梅大学

©Steffen Lahrberg(德)
本科毕设 2022 @ 德国不来梅(满分)
    ● 针对运动方向区分的跨信道特征设计

©王薇
硕士毕设 2022 @ 德国汉诺威
    ● 基于子序列搜索的自动心音信号分割

→ IT应用开发师 @ 博世(爱森纳赫)

©Daniel Faustino de Noronha Osório(葡)
博士论文 2023 @ 葡萄牙里斯本
    ● 心电图普适遥感;心血管疾病评估

→ 资深工程师 @ PLUX无线生物信号传感器公司

©Jonas Boule(德)
科研助理 自2023
    ● 脑电信号分析
    ● 针对人体动作识别的脑电和惯性数据融合

©Romina Razeghi Oskouei(伊)
科研助理 自2023
    ● 肌电信号采集和处理
    ● 大数据
    ● 面部表情单元识别

@Ferdinand Rohlfing(德)
科研助理 自2023
    ● 基于肌电的表情识别人工智能

Anantha Sripada Abhinav Veldanda(印)
访问学生研究员
本科毕设 2023 @ 印度果阿 / 德国不来梅(A等)
    ● 基于面部肌电信号的实时表情识别

→ 工程师 @ 印度

©Ciwan Gülpinar(德;库尔德裔)
本科毕设 2023 @ 德国不来梅(等级:“好”)
    ● 元宇宙中生物信号的可视化和交互


→ 硕士研究生 @ 不来梅大学

Johann Joachim Keuneke(德)
毕设进行
    ● 智能手机中的多模态传感器融合平台

Daniel Ott(德)
本科毕设 2023 @ 德国不来梅(等级:“非常优异”)
    ● 演唱辅助的界面设计和用户体验分析

©Hasanur Jaman Seam(孟)
毕设进行
    ● 智能手机作为实时人体动作识别平台

Hannes Wehrmann(德)
毕设进行
    ● 慢跑状态识别     ● 人体动作识别的可听化

©Rakibul Islam(孟)
毕设进行
    ● 用于多信道联合信息检索的交互界面

©Thorben Lorenzen(德)
硕士毕设 2024 @ 德国不来梅(等级:“好”)
    ● 针对钢琴自学的基于肌电的手指识别

→ 数据工程师 @ 慕尼黑

©Leon Flaack(德;日裔)
本科毕设 2024 @ 德国不来梅(等级:“好”)
    ● 基于LSTM的MIDI主旋律通道自动识别

→ 海外交换 @ 东京

©陈久盟
毕设进行
    ● 足部动作识别

©Joel Warnken(德)
毕设进行
    ● 用于音准辅助训练的自动人声音高检测

©Mohamad Tofayel Ahmed(孟)
毕设进行
    ● 燃料电池老化模型的人工智能修正

©Mohamad Asif Siddiqui(孟)
毕设进行
    ● 离群点检测算法在海量不同各类数据集上的性能评判

@Arthur Belousov(德)
毕设进行
    ● 由钢琴弹奏音频自动生成乐谱


©Aklima Akter(孟)
毕设进行
    ● 基于Wi-Fi人体动作识别中的高级数据处理

©Yvo Muskulus(德)
科研助理 自2023
    ● 基于肌电的表情识别人工智能

©Alenna Kha(德;越南裔)
毕设进行
    ● 基于旋律的和弦自动生成

©Robin Kuri(孟)
毕设进行
    ● 从莫扎特骰子到“万能骰”

©David Czesla(德)
毕设进行
    ● 基于手指和音高识别的钢琴自学反馈系统

©苏杰
毕设进行
    ● VR中的人体动作识别

©Nazia Nusrat Ima(孟)
毕设进行
    ● 孟加拉国独居老人社群拓展和线上活动APP

©Finn Redel(德)
毕设进行
    ● 事件驱动的分布式色谱数据分析框架

©Rui Pedro Sousa Varandas(葡)
博士论文 2023 @ 葡萄牙里斯本
    ● 人机交互中的人类学习过程评估

→ 资深工程师 @ 里斯本

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