Object detection and depth estimation for 3D trajectory extraction. - Zeyd Boukhers; Kimiaki Shirahama; Frédéric Li; Marcin Grzegorzek (CBMI, 2015)

Extracting 3D Trajectories of Objects from 2D Videos using Particle Filter. - Zeyd Boukhers; Kimiaki Shirahama; Frédéric Li; Marcin Grzegorzek (ICMR, 2015)

Gait Recognition Using Motion Trajectory Analysis. - Muhammad Hassan Khan; Frédéric Li; Muhammad Shahid Farid; Marcin Grzegorzek (CORES, 2017)

Real-Time Gesture Recognition using a Particle Filtering Approach. - Frédéric Li; Lukas Köping; Sebastian Schmitz; Marcin Grzegorzek (ICPRAM, 2017)

Biomedical Data Acquisition and Processing to Recognize Emotions for Affective Learning. - Armin Grünewald; David Kroenert; Jonas Poehler; Rainer Brück 001; Frédéric Li; Julian Littau; Katrin Schnieber; Artur Piet; Marcin Grzegorzek; Henrik Kampling; Björn Niehaves (BIBE, 2018)

Sensor Headband for Emotion Recognition in a Virtual Reality Environment. - David Krönert; Armin Grünewald; Frédéric Li; Marcin Grzegorzek; Rainer Brück 001 (ITIB, 2018)

Comparison of Feature Learning Methods for Human Activity Recognition Using Wearable Sensors. - Frédéric Li; Kimiaki Shirahama; Muhammad Adeel Nisar; Lukas Köping; Marcin Grzegorzek (Sensors, 2018)

Sleep stage classification for child patients using DeConvolutional Neural Network. - Xinyu Huang 003; Kimiaki Shirahama; Frédéric Li; Marcin Grzegorzek (Artif. Intell. Medicine, 2020)

Deep Transfer Learning for Time Series Data Based on Sensor Modality Classification. - Frédéric Li; Kimiaki Shirahama; Muhammad Adeel Nisar; Xinyu Huang 003; Marcin Grzegorzek (Sensors, 2020)

Rank Pooling Approach for Wearable Sensor-Based ADLs Recognition. - Muhammad Adeel Nisar; Kimiaki Shirahama; Frédéric Li; Xinyu Huang 003; Marcin Grzegorzek (Sensors, 2020)

Cross-modal Music Emotion Recognition Using Composite Loss-based Embeddings. - Naoki Takashima; Frédéric Li; Marcin Grzegorzek; Kimiaki Shirahama (CoRR, 2021)

Comparison of Feature Extraction Methods for Physiological Signals for Heat-Based Pain Recognition. - Philip Gouverneur; Frédéric Li; Waclaw M. Adamczyk; Tibor M. Szikszay; Kerstin Luedtke; Marcin Grzegorzek (Sensors, 2021)

Deep learning for time-series classification enhanced by transfer learning based on sensor modality discrimination. - Frédéric Li (Logos Verlag Berlin, 2021)

Transformer-Based Recognition of Activities of Daily Living from Wearable Sensor Data. - Gabriela Augustinov; Muhammad Adeel Nisar; Frédéric Li; Seyed Amir Hossein Tabatabaei; Marcin Grzegorzek; Keywan Sohrabi; Sebastian J. F. Fudickar (iWOAR, 2022)

SenseHunger: Machine Learning Approach to Hunger Detection Using Wearable Sensors. - Muhammad Tausif Irshad; Muhammad Adeel Nisar; Xinyu Huang 003; Jana Hartz; Olaf Flak; Frédéric Li; Philip Gouverneur; Artur Piet; Kerstin M. Oltmanns; Marcin Grzegorzek (Sensors, 2022)

A Machine Learning Framework for Automated Accident Detection Based on Multimodal Sensors in Cars. - Hawzhin Hozhabr Pour; Frédéric Li; Lukas Wegmeth; Christian Trense; Rafal Doniec; Marcin Grzegorzek; Roland Wismüller (Sensors, 2022)

A Dataset for classification of road and types using EOG smart glasses. - Rafal Doniec; Natalia Piaseczna; Frédéric Li (IEEE DataPort, 2022)

Exploring the Benefits of Time Series Data Augmentation for Wearable Human Activity Recognition. - Md. Abid Hasan; Frédéric Li; Artur Piet; Philip Gouverneur; Muhammad Tausif Irshad; Marcin Grzegorzek (iWOAR, 2023)

WiFi Sensing with Single-Antenna Devices for Ambient Assisted Living. - Robert Schumann; Frédéric Li; Marcin Grzegorzek (iWOAR, 2023)

Embedding-Based Music Emotion Recognition Using Composite Loss. - Naoki Takashima; Frédéric Li; Marcin Grzegorzek; Kimiaki Shirahama (IEEE Access, 2023)

Sensor-Based Classification of Primary and Secondary Car Driver Activities Using Convolutional Neural Networks. - Rafal Doniec; Justyna Konior; Szymon Siecinski; Artur Piet; Muhammad Tausif Irshad; Natalia Piaseczna; Md. Abid Hasan; Frédéric Li; Muhammad Adeel Nisar; Marcin Grzegorzek (Sensors, 2023)

Explainable Artificial Intelligence (XAI) in Pain Research: Understanding the Role of Electrodermal Activity for Automated Pain Recognition. - Philip Gouverneur; Frédéric Li; Kimiaki Shirahama; Luisa Luebke; Waclaw M. Adamczyk; Tibor M. Szikszay; Kerstin Luedtke; Marcin Grzegorzek (Sensors, 2023)

Wearable-based human flow experience recognition enhanced by transfer learning methods using emotion data. - Muhammad Tausif Irshad; Frédéric Li; Muhammad Adeel Nisar; Xinyu Huang 003; Martje Buss; Leonie Kloep; Corinna Peifer; Barbara Kozusznik; Anita Pollak; Adrian Pyszka; Olaf Flak; Marcin Grzegorzek (Comput. Biol. Medicine, 2023)

eVAS: A user-friendly electronic Visual Analogue Scale. - Philip Gouverneur; Frédéric Li; Luisa Luebke; Tibor M. Szikszay; Sonja-Dana Roelen; Jarek Krajewski; Kerstin Luedtke; Marcin Grzegorzek (Zenodo, 2025)

eVAS: A user-friendly electronic Visual Analogue Scale. - Philip Gouverneur; Frédéric Li; Luisa Luebke; Tibor M. Szikszay; Sonja-Dana Roelen; Jarek Krajewski; Kerstin Luedtke; Marcin Grzegorzek (J. Open Source Softw., 2025)