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Dr. Hui Liu

Hui Liu

Enrique-Schmidt-Str. 5
Cartesium, Room 2.51
28359 Bremen

+49(0)421-218-64278

hui.liuprotect me ?!uni-bremenprotect me ?!.de

0000-0002-6850-9570

Google Scholar

 

I am a post-doctoral researcher at the Cognitive Systems Lab, focusing on biomedical engineering, biosignal processing, human activity recognition, machine learning, and rehabilitation assistance.

I was in charge of the research project Arthrokinemat of BMWi (Federal Ministry for Economic Affairs and Climate Protection, Germany) from the University of Bremen's side. Together with our collaborators from KIT (Karlsruher Institut für Technologie), Bauerfeind AG, and ITP GmbH, we aim to develop a learning, adaptive, sensor-based measurement system to prevent arthrosis activation when the knee joint is overloaded. I successfully implemented a mobile technical system that senses and recognizes its users' movements in real-time, utilizing proximity wearable sensors integrated into a knee bandage, with which I, along with my supervisor Prof. Tanja Schultz, won the Best Paper Award (Student Author) at BIODEVICES 2019. Demonstrated in many international academic and industrial occasions, our wearable sensor-based activity recognition technology and systems have been widely recognized.

If you are interested in my research directions, you are sincerely welcome to contact me for cooperation in all aspects.

 


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
    • Big Data

      • Multimodal data visualization
      • Statistical analysis
      • Organization, operation, and post-processing of big data acquisition
      • Automatic and semi-automatic segmentation and annotation
      • 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



    Academic Activities and Contributions

    • Universidade Nova de Lisboa (Lisbon, Portugal)

      • Erasmus Teaching Staff Mobility
    • Verein der CDHAW-Absolventen und Mitglieder der Tongji-Universität (Düsseldorf)

    • BIOSTEC 2022 - 15th International Joint Conference on Biomedical Engineering Systems and Technologies  (Vienna, Austria)

      • HEALTHINF Session Chair
    • BIOSTEC 2019 - 12th International Joint Conference on Biomedical Engineering Systems and Technologies  (Prague, Czech)

    • 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 (Bremen)

      • Demonstration of intelligent knee bandage
      MindDay 2021

      Courses

      • Biosignals and User Interfaces


      Appointment

      • General: Tuesday 16:00 - 18:00

      • Or by prior appointment via Email


      Publications

      Forthcoming;

       [16] Merged Pitch Histogram and Pitch-Duration Histogram (Hui Liu, Tingting Xue, Tanja Schultz. In SIGMAP 2022 - 19th International Conference on Signal Processing and Multimedia Applications.

      Previous publication

      Capacity of Cooperative Ad Hoc Networks with Heterogeneous Traffic Patterns (Hui Liu, Xinbing Wang), In ICC 2011 — IEEE International Conference on Communications, pages 1–5, 2011.