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Gašper Slapničar
Gašper Slapničar
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Title
Cited by
Cited by
Year
Blood pressure estimation from photoplethysmogram using a spectro-temporal deep neural network
G Slapničar, N Mlakar, M Luštrek
Sensors 19 (15), 3420, 2019
2842019
Classical and deep learning methods for recognizing human activities and modes of transportation with smartphone sensors
M Gjoreski, V Janko, G Slapničar, M Mlakar, N Reščič, J Bizjak, V Drobnič, ...
Information Fusion 62, 47-62, 2020
892020
Continuous blood pressure estimation from PPG signal
G Slapničar, M Luštrek, M Marinko
Informatica 42 (1), 2018
652018
Predicting species identity of bumblebees through analysis of flight buzzing sounds
A Gradišek, G Slapničar, J Šorn, M Luštrek, M Gams, J Grad
Bioacoustics 26 (1), 63-76, 2017
432017
A new frontier for activity recognition: The Sussex-Huawei locomotion challenge
V Janko, N Rešçiç, M Mlakar, V Drobnič, M Gams, G Slapničar, M Gjoreski, ...
Proceedings of the 2018 ACM International Joint Conference and 2018 …, 2018
322018
Applying multiple knowledge to Sussex-Huawei locomotion challenge
M Gjoreski, V Janko, N Reščič, M Mlakar, M Luštrek, J Bizjak, G Slapničar, ...
Proceedings of the 2018 ACM International Joint Conference and 2018 …, 2018
222018
A personal health system for self-management of congestive heart failure (HeartMan): development, technical evaluation, and proof-of-concept randomized controlled trial
M Luštrek, M Bohanec, CC Barca, MC Ciancarelli, E Clays, AA Dawodu, ...
JMIR Medical Informatics 9 (3), e24501, 2021
202021
Contact-free monitoring of physiological parameters in people with profound intellectual and multiple disabilities
G Slapnicar, E Dovgan, P Cuk, M Lustrek
Proceedings of the IEEE/CVF International Conference on Computer Vision …, 2019
92019
On applying ambient intelligence to assist people with profound intellectual and multiple disabilities
M Kosiedowski, A Radziuk, P Szymaniak, W Kapsa, T Rajtar, M Stroinski, ...
Intelligent Systems and Applications: Proceedings of the 2019 Intelligent …, 2020
62020
Winning the sussex-huawei locomotion-transportation recognition challenge
V Janko, M Gjoreski, G Slapničar, M Mlakar, N Reščič, J Bizjak, V Drobnič, ...
Human Activity Sensing: Corpus and Applications, 233-250, 2019
62019
Classification of hemodynamics scenarios from a public radar dataset using a deep learning approach
G Slapničar, W Wang, M Luštrek
Sensors 21 (5), 1836, 2021
52021
Blood pressure estimation with a wristband optical sensor
G Slapničar, M Luštrek
Proceedings of the 2018 ACM International Joint Conference and 2018 …, 2018
52018
Matjaž Gams, Gašper Slapničar, Martin Gjoreski, Jani Bizjak, Matej Marinko, and Mitja Luštrek. 2018. A New Frontier for Activity Recognition: The Sussex-Huawei Locomotion Challenge
V Janko, N Rešçiç, M Mlakar, V Drobnič
Proceedings of the 2018 ACM International Joint Conference and 2018 …, 0
5
Feasibility of remote blood pressure estimation via narrow-band multi-wavelength pulse transit time
G Slapničar, W Wang, M Luštrek
ACM Transactions on Sensor Networks, 2023
42023
Machine learning for analyzing non-countermeasure factors affecting early spread of COVID-19
V Janko, G Slapničar, E Dovgan, N Reščič, T Kolenik, M Gjoreski, ...
International Journal of Environmental Research and Public Health 18 (13), 6750, 2021
42021
Feasibility of Remote Pulse Transit Time Estimation Using Narrow-band Multi-wavelength Camera Photoplethysmography
G Slapničar, W Wang, M Luštrek
2022 IEEE-EMBS International Conference on Biomedical and Health Informatics …, 2022
22022
Recognition of Behaviour Patterns for People with Profound Intellectual and Multiple Disabilities
E Dovgan, J Valič, G Slapničar, M Luštrek
Adjunct Proceedings of the 2021 ACM International Joint Conference on …, 2021
12021
Mental state estimation of people with PIMD using physiological signals
G Slapničar, E Dovgan, J Valič, M Luštrek
Information Society, 2020
12020
Fundamental and Practical Feasibility of Electrocardiogram Reconstruction from Photoplethysmogram
G Slapničar, J Su, W Wang
Sensors 24 (7), 2100, 2024
2024
The missing piece. Physiological data as a factor for identifying emotions of people with profound intellectual and multiple disabilities
T Hammann, J Valič, G Slapničar, M Luštrek
International Journal of Developmental Disabilities, 1-17, 2022
2022
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