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Paul Lukowicz

Germany

Research Interests

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Professors in Germany

Articles (21)

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2026

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2023

Collaborators (10)

Thomas Lachmann

Head

Technische Universität Kaiserslautern

GERMANY

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Ryo Takahashi

Project Assistant Professor

The Univeristy of Tokyo

JAPAN

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Yoshihiro Kawahara

Professor

University of Tokyo

JAPAN

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Oscar Martinez Mozos

Universidad de Alicante

SPAIN

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tingyu cheng

Assistant Professor

University of Notre Dame

UNITED STATES

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Virginia Negri

University of Bologna

ITALY

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Sungho Suh

Assistant Professor

Korea University

SOUTH KOREA

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Berit Greinke

Professor

GERMANY

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Sizhen Bian

Northwestern Polytechnical University

CHINA

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ROBERTO TINARELLI

Full Professor

University of Bologna

ITALY

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Paul Lukowicz

Research Interests

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Articles (21)

COA-HAR: Exploring contrastive online test-time adaptation for wearable sensor-based human activity recognition using sensor data augmentation

Physics-Informed Modeling of Temperature Effects in Rogowski Coils for Harmonic and Complex Signal Accuracy

LoftSense: Volumetric Filling-as-Sensing for Wearable Interactions in Filled Garments

mobiCHAI’3: 3rd International Workshop on Mobile Cognition-Altering and Cognitive-Augmenting Technologies using Human-Centered AI

AutoResearcHAR: A Multi-Agent Framework for Dataset Adaptive IMU Based Human Activity Recognition

Foundation Models Defining A New Era In Sensor-based Human Activity Recognition: A Survey And Outlook

LITEWAY: LIghtweight HAR via Temporal Efficient highWAY

SPOTTEG: Simulation-guided Placement Optimization for Textile Triboelectric Energy Generators in Dynamic Wearable Scenarios

Same Patient, Same Space, Divergent Needs: Revealing Gaps and Design Opportunities in Surgeon–Anesthesiologist Collaboration

CoSS: Co-optimizing sensor and sampling rate for data-efficient human activity recognition

PACL+: Online continual learning using proxy-anchor and contrastive loss with Gaussian replay for sensor-based human activity recognition

Inertial Sensor-Based Hierarchical Contrastive Multi-View Learning for Human Activity Recognition

Passive Body-Area Electrostatic Field (Human Body Capacitance) for Ubiquitous Computing

From Neck to Head: Bio-Impedance Sensing for Head Pose Estimation

TinierHAR: Towards Ultra-Lightweight Deep Learning Models for Efficient Human Activity Recognition on Edge Devices

Intelligent Soft Wearables

When AR Hinders Performance: The Hidden Costs of Video-See-Through Displays

FAME: Feature-Augmented Multi-View Ensemble Framework for Human Activity Recognition using Inertial Sensors

Generative AI and Foundation Models for Human Sensing (GenAI4HS)

SImpHAR: Advancing Impedance-based Human Activity Recognition using 3D Simulation and Text to Motion Models

Beyond the Pocket: Preparing a Study on the Variations of Wearable Device Location

Collaborators (10)

Thomas Lachmann

Ryo Takahashi

Yoshihiro Kawahara

Oscar Martinez Mozos

tingyu cheng

Virginia Negri

Sungho Suh

Berit Greinke

Sizhen Bian

ROBERTO TINARELLI

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