HARTH: a human activity recognition dataset for machine learning A Logacjov, K Bach, A Kongsvold, HB Bårdstu, PJ Mork Sensors 21 (23), 7853, 2021 | 85 | 2021 |
A machine learning classifier for detection of physical activity types and postures during free-living K Bach, A Kongsvold, H Bårdstu, EM Bardal, HS Kjærnli, S Herland, ... Journal for the Measurement of Physical Behaviour 5 (1), 24-31, 2021 | 34 | 2021 |
Validation of an activity type recognition model classifying daily physical behavior in older adults: the HAR70+ model A Ustad, A Logacjov, SØ Trollebø, P Thingstad, B Vereijken, K Bach, ... Sensors 23 (5), 2368, 2023 | 32 | 2023 |
Learning then, learning now, and every second in between: lifelong learning with a simulated humanoid robot A Logacjov, M Kerzel, S Wermter Frontiers in Neurorobotics 15, 669534, 2021 | 12 | 2021 |
Self-supervised learning with randomized cross-sensor masked reconstruction for human activity recognition A Logacjov, K Bach Engineering Applications of Artificial Intelligence 128, 107478, 2024 | 11 | 2024 |
HAR70+ A Logacjov, A Ustad UCI Machine Learning Repository, 2023 | 11 | 2023 |
Can the bias of self-reported sitting time be corrected? A statistical model validation study based on data from 23 993 adults in the Norwegian HUNT study A Kongsvold, M Flaaten, A Logacjov, ES Skarpsno, K Bach, TIL Nilsen, ... International Journal of Behavioral Nutrition and Physical Activity 20 (1), 139, 2023 | 10 | 2023 |
SelfPAB: large-scale pre-training on accelerometer data for human activity recognition A Logacjov, S Herland, A Ustad, K Bach Applied Intelligence 54 (6), 4545-4563, 2024 | 8 | 2024 |
Virtual or Physical? Social Robots Teaching a Fictional Language Through a Role-Playing Game Inspired by Game of Thrones H Ali, S Bhansali, I Köksal, M Möller, T Pekarek-Rosin, S Sharma, ... Social Robotics: 11th International Conference, ICSR 2019, Madrid, Spain …, 2019 | 5 | 2019 |
Self-supervised Learning for Accelerometer-based Human Activity Recognition: A Survey A Logacjov Proceedings of the ACM on Interactive, Mobile, Wearable and Ubiquitous …, 2024 | 4 | 2024 |
A Machine Learning Model for Predicting Sleep and Wakefulness Based on Accelerometry, Skin Temperature and Contextual Information A Logacjov, ES Skarpsno, A Kongsvold, K Bach, PJ Mork Nature and Science of Sleep, 699-710, 2024 | 2 | 2024 |
Large-Scale Pre-Training for Dual-Accelerometer Human Activity Recognition A Logacjov, S Herland, A Ustad, K Bach | 2 | 2023 |
Long-term self-supervised learning for accelerometer-based sleep–wake recognition A Logacjov, K Bach, PJ Mork Engineering Applications of Artificial Intelligence 141, 109758, 2025 | | 2025 |
The performance of a machine learning model in predicting accelerometer-derived walking speed A Logacjov, TP Ludvigsen, K Bach, A Kongsvold, M Flaaten, TIL Nilsen, ... Heliyon, e42185, 2025 | | 2025 |
Validation of two novel human activity recognition models for typically developing children and children with Cerebral Palsy MF Tørring, A Logacjov, SM Brændvik, A Ustad, K Roeleveld, EM Bardal Plos one 19 (9), e0308853, 2024 | | 2024 |
Activity recognition in children with CP: Development and validation of a human activity recognition model MF Tørring, A Logacjov, SM Brændvik, A Ustad, K Roeleveld, EM Bardal Gait & Posture 113, 222-223, 2024 | | 2024 |
Correction: Can the bias of self-reported sitting time be corrected? A statistical model validation study based on data from 23 993 adults in the Norwegian HUNT study A Kongsvold, M Flaaten, A Logacjov, ES Skarpsno, K Bach, TIL Nilsen, ... The International Journal of Behavioral Nutrition and Physical Activity 20, 2023 | | 2023 |
Learning Then, Learning Now and Every Second in Between A Logacjov Universität Hamburg, 2020 | | 2020 |
Künstliche Neuronale Netze zur Vorhersage der Stromstärke von Robotermotoren A Logacjov Universität Hamburg, 2017 | | 2017 |
Virtual or Physical? Social Robots Teaching a Fictional Language Through a Role-Playing Game Inspired by Game of Thrones NSS Sanchez, T Alpay, S Griffiths, S Heinrich, E Strahl, C Weber, ... | | |