Dr. Hui Liu

Enrique-Schmidt-Str. 5
Cartesium, Room 2.14
28359 Bremen
+49(0)421-218-64278
hui.liuprotect me ?!uni-bremenprotect me ?!.de
I studied electrical engineering at the Technical University of Berlin (Dipl.-Ing., 2009) and information and communication systems at Shanghai Jiao Tong University (M.Sc., 2011). Since 2016, I have been a researcher for biosignal processing, human activity recognition, virtual reality, and music information retrieval at the Cognitive Systems Lab of the University of Bremen, where I received my Ph.D. (2021). I am co-responsible for three multipartner projects: Arthrokinemat (intelligent knee bandage), IntEL4CoRo (interactive learning for cognitive robotics), and NF-BWB (young talent development). I developed the first smart knee bandage that recognizes users' activities in real-time (Best Student Paper, BIODEVICES 2019) and proposed Motion Units, an activity modeling method with interpretability, generalizability, and expandability, rationalizing kinesiology and speech recognition knowledge into human activity research (2021). I collected and released the 19-channel, 22-activity, 20-subject human activity dataset CSL-SHARE (2021). My two papers on high-level feature design (co-author) and music signal processing (first author) were the Best Paper Finalists (BIOSIGNALS 2022 / SIGMAP 2022). I received the following third-party funding and awards: the Erasmus Teaching Mobility Award (2018), the CAMPUSiDEEN Public Choice Award for advanced sensing and recognition technology (2022), and the YERUN Research Mobility Award (2022/2023).
Recently, my international collaboration has expanded to include research in singing audio processing, orthotics, and exoskeletons, for which a considerable number of topics are carried out in parallel. I always eagerly await new interdisciplinary and cross-border cooperation in various fields!
Research Interests and Keywords
Wearables
- (Wireless) Body Sensor Network (WBSN/BSN)
- Body Area Network
- Inertial sensors and Inertial Measurement Unit (IMU)
- Electromyography (EMG), electrogoniometers, and other sensors
- Ubiquitous/pervasive computing
- Facial EMG (fEMG) and Action Unit Recognition (AUR)
Big Data
- Multimodal data visualization
- Statistical analysis
- Organization, operation, and post-processing of big data acquisition
- Automatic and semi-automatic segmentation and annotation
- Subsequence search
- Self-similarity matrix and novelty search
- Open-source human activity dataset sharing CSL-SHARE
Digital Signal Processing (DSP)
- Multisensorial and multichannel biosignal processing
- Preprocessing and feature extraction
- Time series processing
- Biosignals and user interfaces
Machine Learning (ML) / Artificial Intelligence (AI)
- Feature selection and feature space reduction
- Early fusion and late fusion
- Hidden Markov Model (HMM)
- CNN, RNN, and ResNet
- Model training, decoding, and evaluation
Human Activity Recognition (HAR)
- Human Activity Recognition Research Pipeline: HAR-Pipeline
- Advanced human activity modeling: Motion Units
- HAR Software development: Activity Signal Kit (ASK)
- Real-time end-to-end HAR system: Activity Signal Kit Echtzeit-Decoder (ASKED)
- On-the-fly plug-and-play HAR functionality: Activity Signal Kit Plug-And-PlAy (ASKPAPA)
- Internal sensing and wearable computing for HAR
Biomedical Engineering (BME)
- Rehabilitation assistance
- Arthritis and knee bandage
- Mobile phone application for auxiliary medical care
- Virtual Reality (VR) and Mixed Reality (MR) for BME
Music Information Retrieval (MIR)
- Feature extraction of melody pitch statistics
- MIR-based amateur singing assistance
- Joint processing of pitch statistics and audio signals
Job Information
Student Assistant/Bachelor-/Master-Thesis: Software Porting on Windows/Android (2023)
Bachelor-/Master-Thesis: Optimal individual song key determination with statistical support of information retrieval (2023)
Bachelor-/Master-Thesis: Automatic singing difficulty analysis of songs with statistical support of information retrieval (2023)
Bachelor-/Master-Thesis: Wearable sensor-based detection of active fingers for interactive piano education (2023)
Bachelor-/Master-Thesis: Real-time Human Activity Recognition Using Smartphones (2023)
Bachelor-/Master-Thesis: Real-time Human Activity Recognition with Virtual Reality (2023)
Bachelor-/Master-Thesis: Comparison of manual, semi-automated, and automatic segmentation of human activity data (2023)
Research Projects
Arthrokinemat
IntETL4Coro
ETAP (Participation in the planning)
NF-BWB
Academic Activities and Contributions
Editorial Board
Frontiers in Big Data
Frontiers in Artificial Intelligence
Editor
Frontiers in Behavioral Neuroscience
Guest Editor
(MDPI) Sensors
- Sensors for Human Activity Recognition Book
Your contribution is welcome: Sensors for Human Activity Recognition Edition II
Program Chair
BIOSIGNALS 2024 (in BIOSTEC 2024) – 17th International Conference on Bio-Inspired Systems and Signal Processing (Rome, Italy)
Session Chair
HEALTHINF 2022 (in BIOSTEC 2022) – 15th International Conference on Health Informatics (Vienna, Austria)
SIGMAP 2022 – 19th International Conference on Signal Processing and Multimedia Applications (Lisbon, Portugal)
BIOSTEC 2023 – 16th International Joint Conference on Biomedical Engineering Systems and Technologies (Lisbon, Portugal)
Peer Reviewer
For 33 international journals, including Nat. Commn., Biomed. Signal Process. Control, Remote Sens., Front. Physiol., Front. Med., Physiol. Meas., Phys. Scr., Biomimetics, and Biosensors
For various conferences, including IEEE BSN and BHI; ACM ICMI, ISWC, and AUTOMOTIVEUI; ITG
YERUN (Young European Research Universities Network)
YERUN Research Mobility Awards (YRMA), 2022
Universidade Nova de Lisboa (Lisbon, Portugal)
- Erasmus Teaching Staff Mobility, 2018
Biosignals Notebooks
Verein der CDHAW-Absolventen und Mitglieder der Tongji-Universität (Düsseldorf)
- Invited Speaker: Academics and Art, 2018
BIOSTEC 2019 - 12th International Joint Conference on Biomedical Engineering Systems and Technologies (Prague, Czech)
- Tutorial: From Offline towards Real-Time
BBDC 2019 - 4th Bremen Big Data Challenge
- Big data acquisition, processing, and provision
Bremen.AI 2019
- Demonstration of real-time human activity recognition
- Demonstration of MR game platform for rehabilitation assistance
MindDay 2021
- Demonstration of intelligent knee bandage
KIT Adaptive Systems Talks 2022
- Invited workshop speaker
CAMPUSiDEEN 2022
- Public Choice Award
Courses
Hot Topics in Sensors and Human Activity Research
Thursday 14:00 – 16:00
Biosignals and User Interfaces
Tuesday 14:15 – 16:15
Wednesday 16:15 – 17:15
- Scoreboard_2020
Selected Topics of Cognitive Systems
Fundamentals of Machine Learning (Partially: Clustering)
Software Project II
Bachelor Project: RoboARinth (Winter Semester 2020/2021, Summer Semester 2021)