Applying Multiple Knowledge to Sussex-Huawei Locomotion Challenge. - Martin Gjoreski; Vito Janko; Nina Resçiç; Miha Mlakar; Mitja Lustrek; Jani Bizjak; Gasper Slapnicar; Matej Marinko; Vid Drobnic; Matjaz Gams (UbiComp/ISWC Adjunct, 2018)

A New Frontier for Activity Recognition: The Sussex-Huawei Locomotion Challenge. - Vito Janko; Nina Resçiç; Miha Mlakar; Vid Drobnic; Matjaz Gams; Gasper Slapnicar; Martin Gjoreski; Jani Bizjak; Matej Marinko; Mitja Lustrek (UbiComp/ISWC Adjunct, 2018)

Blood Pressure Estimation with a Wristband Optical Sensor. - Gasper Slapnicar; Mitja Lustrek (UbiComp/ISWC Adjunct, 2018)

Continuous Blood Pressure Estimation from PPG Signal. - Gasper Slapnicar; Mitja Lustrek; Matej Marinko (Informatica (Slovenia), 2018)

Winning the Sussex-Huawei Locomotion-Transportation Recognition Challenge. - Vito Janko; Martin Gjoreski; Gasper Slapnicar; Miha Mlakar; Nina Resçiç; Jani Bizjak; Vid Drobnic; Matej Marinko; Nejc Mlakar; Matjaz Gams; Mitja Lustrek (Human Activity Sensing, 2019)

Contact-Free Monitoring of Physiological Parameters in People With Profound Intellectual and Multiple Disabilities. - Gasper Slapnicar; Erik Dovgan; Pia Cuk; Mitja Lustrek (ICCV Workshops, 2019)

On Applying Ambient Intelligence to Assist People with Profound Intellectual and Multiple Disabilities. - Michal Kosiedowski; Arkadiusz Radziuk; Piotr Szymaniak; Wojciech Kapsa; Tomasz Rajtar; Maciej Stroinski; Carmen Campomanes-Álvarez; B. Rosario Campomanes-Álvarez; Mitja Lustrek; Matej Cigale; Erik Dovgan; Gasper Slapnicar (IntelliSys (2), 2019)

Blood Pressure Estimation from Photoplethysmogram Using a Spectro-Temporal Deep Neural Network. - Gasper Slapnicar; Nejc Mlakar; Mitja Lustrek (Sensors, 2019)

Classical and deep learning methods for recognizing human activities and modes of transportation with smartphone sensors. - Martin Gjoreski; Vito Janko; Gasper Slapnicar; Miha Mlakar; Nina Resçiç; Jani Bizjak; Vid Drobnic; Matej Marinko; Nejc Mlakar; Mitja Lustrek; Matjaz Gams (Inf. Fusion, 2020)

Recognition of Behaviour Patterns for People with Profound Intellectual and Multiple Disabilities. - Erik Dovgan; Jakob Valic; Gasper Slapnicar; Mitja Lustrek (UbiComp/ISWC Adjunct, 2021)

Classification of Hemodynamics Scenarios from a Public Radar Dataset Using a Deep Learning Approach. - Gasper Slapnicar; Wenjin Wang 002; Mitja Lustrek (Sensors, 2021)

Feasibility of Remote Pulse Transit Time Estimation Using Narrow-band Multi-wavelength Camera Photoplethysmography. - Gasper Slapnicar; Wenjin Wang 002; Mitja Lustrek (BHI, 2022)

Contact-Free Physiological Monitoring of Cardiorespiratory States Using Radar and Optical Sensors. - Gasper Slapnicar (Informatica (Slovenia), 2024)

Fundamental and Practical Feasibility of Electrocardiogram Reconstruction from Photoplethysmogram. - Gasper Slapnicar; Jie Su; Wenjin Wang 002 (Sensors, 2024)

Feasibility of Remote Blood Pressure Estimation via Narrow-band Multi-wavelength Pulse Transit Time. - Gasper Slapnicar; Wenjin Wang 002; Mitja Lustrek (ACM Trans. Sens. Networks, 2024)

A Survey on Federated Learning in Human Sensing. - Mohan Li; Martin Gjoreski; Pietro Barbiero; Gasper Slapnicar; Mitja Lustrek; Nicholas D. Lane; Marc Langheinrich (CoRR, 2025)