Dr. Hui Liu

Hui Liu

Enrique-Schmidt-Str. 5
Cartesium, Room 2.14
28359 Bremen


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


Google Scholar


I am a researcher at the Cognitive Systems Lab (CSL), University of Bremen, focusing on biomedical engineering, biosignal processing, human activity recognition (HAR), rehabilitation assistance, machine learning (ML), robotics, virtual reality, and music information retrieval (MIR). I am co-responsible for the following multi-partner projects:

+ Arthrokinemat, BMWi (Federal Ministry for Economic Affairs and Climate Protection, Germany) — development of a learning, adaptive, sensor-based measurement system to prevent arthrosis activation when the knee joint is overloaded (finished 2019). 
+ ETAP, BMG (Federal Ministry of Health, Germany) — evaluation of semi-automated care processes in long-term care using AI-based movement monitoring as an example.
+ IntEL4CoRo, BMBF (Federal Ministry of Education and Research, Germany) — interactive learning environment for cognitive robotics.

I developed the first mobile intelligent knee bandage system that senses and recognizes users' activities in real-time, utilizing proximity wearable sensors integrated into the bandage (Best Paper Award, Student Author, BIODEVICES (2019). I invented Motion Units, a human activity modeling method with interpretability, generalizability, and expandability, rationalizing knowledge from kinesiology and automatic speech recognition into HAR research (2021). I collected and shared a 19-channel, 22-activity, 20-subject human activity dataset CSL-SHARE (Cognitive Systems Lab Sensor-based Human Activity REcordings), on which six-hour data of an 11.52-h recording are well segmented, annotated, and post-verified (2021). Demonstrated in many international academic and industrial occasions, our wearable sensor-based activity recognition technologies and systems have been widely recognized. Two of my papers on high-level HAR feature design (co-author) and music signal processing (first author), respectively, were the Best Paper Finalists (BIOSIGNALS 2022 and SIGMAP 2022). I received the YERUN (Young European Research Universities Network) Research Mobility Award (YRMA) and the CAMPUSiDEEN Public Choice Award (2022).

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!

Forschungsinteressen und Schlüsselwörter

  • Wearables

      • Kabelloses Körpersensor-Netzwerk (Wireless Body Sensor Network, WBSN)
      • Körperbereichsnetzwerk (Body Area Network, BAN)
      • Inertialsensoren und Trägheitsmesseinheit (Inertial Measurement Unit, IMU)
      • Elektromyografie (EMG), Elektrogoniometer und andere tragbare Sensoren
      • Allgegenwärtiges/pervasives Rechnen
    • Big Data Mining (BDM) / Information Retrieval (IR)

      • Multimodale Datenvisualisierung
      • Statistische Analyse
      • Organisation, Betrieb und Nachverarbeitung der Big-Data-Erfassung
      • Automatische und halbautomatische Segmentierung und Annotation
      • Subsequence Search
      • Self-Similarity Matrix und Novelty Search
      • Freigeben von Open-Source-Datensätzen zu menschlichen Aktivitäten CSL-SHARE
    • Digitale Signalverarbeitung (Digital Signal Processing, DSP)

      • Multisensorische und mehrkanalige Biosignalverarbeitung
      • Vorverarbeitung und Merkmalsextraktion
      • Verarbeitung von Zeitreihen
      • Biosignale und Benutzerschnittstellen
    • Maschinelles Lernen (ML) / Künstliche Intelligenz (KI)

      • Merkmalsauswahl und Merkmalsraumreduzierung
      • Frühe Fusion und späte Fusion
      • Hidden Markov Model (HMM)
      • CNN, RNN und ResNet
      • Modelltraining, Dekodierung und Auswertung
    • Aktivitätserkennung (Human Activity Recognition, HAR)

      • Forschungspipeline zur Erkennung menschlicher Aktivitäten: HAR-Pipeline
      • Fortschrittliche Modellierung menschlicher Aktivitäten: Motion Units
      • HAR-Softwareentwicklung: Activity Signal Kit (ASK)
      • Echtzeit-System für HAR: Activity Signal Kit Echtzeit-Decoder (ASKED)
      • On-the-fly plug-and-play HAR-Funktionalitäten: Activity Signal Kit Plug-And-PlAy (ASKPAPA)
      • Interne Sensorik und tragbarer Computer für HAR
    • Biomedizinische Technik (Biomedical Engineering, BME)

      • Rehabilitationsunterstützung
      • Arthritis und Kniebandage
      • Handy-Anwendung für die medizinische Hilfsversorgung
      • Virtuelle Realität (VR) and vermischte Realität (Mixed Reality, MR) für BME
    • Musik-Informationsbeschaffung (Music Information Retrieval, MIR)

      • Merkmalsextraktion von Melodietonhöhenstatistiken
      • MIR-basierte Gesangsunterstützung für Amateure
      • Gemeinsame Verarbeitung von Tonhöhenstatistiken und Audiosignalen

    Hui's supervised students and research assistants (partially) 2023
    Hui's supervised students and research assistants (partially) 2023

    Meine besten wissenschaftlichen Assistenzen und Studierenden (HiWi/BA/MA/Gäste)

    Yale Hartmann
    Research assistant 2018 — 2020 (HAR); Bachelor thesis 2019 (full score); Master thesis 2020 (full score) → Ph.D candidate @ CSL
    Anindya Chowdhury
    Research assistant 2019 (statistics) → Data Analyst @ Fujifilm Europe, Ratingen
    Lennard Mai
    Bachelor thesis 2019 → Junior Data Engineer @ hmmh, Bremen
    Timo Urban
    Bachelor thesis 2019 (full score) → Software engineer @ TK, Hamburg
    Kilian Luedemann
    Bachelor thesis 2021 → Software engineer @ RealCore Group, Essen
    Tobias Dellert
    Bacheler thesis 2022 @ Tbilisi, Georgia → Data Engineer @ WearHealth, Bremen
    Isabel de Almeida Curioso
    Master thesis 2022 @ Lisbon, Portugal (20/20, best of the year) → Researcher @ Portugal
    Shiyao Zhang
    Research assistant since 2022 (artifact recognition during biosignal acquisition; research group convenor)
    Steffen Lahrberg
    Bachelor thesis 20121 (full score)
    Wei Wang
    Master thesis 2022 @ Hannover → IT application developer @ Bosch, Eisenach
    Daniel Faustino de Noronha Osório
    Ph.D. thesis 2023 @ Lisbon, Portugal → Senior Engineer @ PLUX wireless biosignals SA
    Jonas Boule
    Research assistant since 2023 (EEG analysis; EEG and inertial data fusion for HAR)
    Romina Razeghi Oskouei
    Research assistant since 2023 (EMG signal acquisition and processing)
    Ferdinand Rohlfing
    Research assistant since 2023 (ML for EMG-based action unit recognition)
    Anantha Sripada Abhinav Veldanda
    Guest research scholar & Bachelor thesis 2023 @ Goa/Bremen (Grade A) → Engineer @ India
    Ciwan Gülpinar
    Bachelor Thesis 2023 → Master student @ Uni Bremen
    Johann Joachim Keuneke
    Graduation research in progress
    Daniel Ott
    Graduation research in progress
    Hasanur Jaman Seam
    Graduation research in progress
    Hannes Wehrmann
    Graduation research in progress
    Rakibul Islam
    Graduation research in progress
    Thorben Lorenzen
    Graduation research in progress
    Leon Flaack
    Graduation research in progress
    Jiumeng Chen
    Graduation research in progress
    Joel Warnken
    Graduation research in progress
    Mohamad Asif Siddiqui
    Graduation research in progress
    Mohamad Tofayel Ahmed
    Graduation research in progress


    BIODEVICES 2019 (Best Paper, Student Author) / CAMPUSiDEEN 2022 (Public Choice Award) / KIT Adaptive Systems Talks 2022 / MindDay 2021
    BIODEVICES 2019 (Best Paper, Student Author) / CAMPUSiDEEN 2022 (Public Choice Award) / KIT Adaptive Systems Talks 2022 / MindDay 2021

    Akademische Aktivitäten und Beiträge

    • Editorial Board

      • Frontiers in Big Data

      • Frontiers in Artificial Intelligence

    • Editor

      • Frontiers in Behavioral Neuroscience

    • Program Chair

      • BIOSIGNALS 2024 (in BIOSTEC 2024) – 17th International Conference on Bio-Inspired Systems and Signal Processing (Rom, Italien)

    • Session Chair

      • HEALTHINF 2022 (in BIOSTEC 2022) – 15th International Conference on Health Informatics (Wien, Österreich)

      • SIGMAP 2022 – 19th International Conference on Signal Processing and Multimedia Applications (Lissabon, Portugal)

      • BIOSTEC 2023 – 16th International Joint Conference on Biomedical Engineering Systems and Technologies  (Lissabon, Portugal)

    • Peer Reviewer

      • For over 20 journals, including Nat. Commn., Biomed. Signal Process. Control, Remote Sens., Front. Physiol., Front. Med., Physiol. Meas., Biomimetics, and Biosensors

      • For various conferences, including IEEE BSN and BHI; ACM ICMI, ISWC, and AUTOMOTIVEUI; ITG

    • Universidade Nova de Lisboa (Lissabon, Portugal)

      • Erasmus-Dozentenmobilität, 2018
    • Verein der CDHAW-Absolventen und Mitglieder der Tongji-Universität (Düsseldorf)

    • BIOSTEC 2019 - 12th International Joint Conference on Biomedical Engineering Systems and Technologies  (Prag, Tschechien)

      • BBDC 2019 - 4th Bremen Big Data Challenge

        • Erfassung, Verarbeitung und Bereitstellung von Big Data
      • Bremen.AI 2019

        • Demonstration der Erkennung menschlicher Aktivitäten in Echtzeit
        • Demonstration einer MR-Spielplattform zur Rehabilitationsunterstützung
      • MindDay 2021

        • Demonstration einer intelligenten Kniebandage
      • KIT Adaptive Systems Talks 2022

        • Eingeladener Workshop-Sprecher
      • CAMPUSiDEEN 2022

        • Preis der Publikumsauswahl


      • Hot Topics in Sensors and Human Activity Research

        • Donnerstag 14:00 – 16:00

      • Biosignale und Benutzerschnittstellen


      • Allgemeine Sprechstunde: Dienstag 16:00 - 18:00

      • Oder nach vorheriger Vereinbarung per Email