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Aleksej Logacjov

Showing results (1-10 of 10) with videos related to

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Frontiers in Neurorobotics|July 19, 2021
Learning Then, Learning Now, and Every Second in Between: Lifelong Learning With a Simulated Humanoid RobotAleksej Logacjov, Matthias Kerzel, Stefan Wermter
Sensors (Basel, Switzerland)|December 10, 2021
HARTH: A Human Activity Recognition Dataset for Machine LearningAleksej Logacjov, Kerstin Bach, Atle Kongsvold, et al.
Nature and Science of Sleep|June 12, 2024
A Machine Learning Model for Predicting Sleep and Wakefulness Based on Accelerometry, Skin Temperature and Contextual InformationAleksej Logacjov, Eivind Schjelderup Skarpsno, Atle Kongsvold, et al.
Plos One|September 23, 2024
Validation of two novel human activity recognition models for typically developing children and children with Cerebral PalsyMarte Fossflaten Tørring, Aleksej Logacjov, Siri Merete Brændvik, et al.
Sensors (Basel, Switzerland)|March 11, 2023
Validation of an Activity Type Recognition Model Classifying Daily Physical Behavior in Older Adults: The HAR70+ ModelAstrid Ustad, Aleksej Logacjov, Stine Øverengen Trollebø, et al.
BMJ Open Sport & Exercise Medicine|November 3, 2025
Contribution of walking, running and cycling to moderate-to-vigorous and total physical activity in adolescents and adults across and within seasons: cross-sectional data from the Norwegian HUNT StudyAtle Kongsvold, Mats Flaaten, Eivind Schjelderup Skarpsno, et al.
The International Journal of Behavioral Nutrition and Physical Activity|December 19, 2023
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 studyAtle Kongsvold, Mats Flaaten, Aleksej Logacjov, et al.
The International Journal of Behavioral Nutrition and Physical Activity|March 5, 2025
Associations of sport and exercise participation in adolescence with body composition and device-measured physical activity in adulthood: longitudinal data from the Norwegian HUNT studyAtle Kongsvold, Eivind Schjelderup Skarpsno, Mats Flaaten, et al.
Heliyon|February 10, 2025
The performance of a machine learning model in predicting accelerometer-derived walking speedAleksej Logacjov, Tonje Pedersen Ludvigsen, Kerstin Bach, et al.
The International Journal of Behavioral Nutrition and Physical Activity|November 28, 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 studyAtle Kongsvold, Mats Flaaten, Aleksej Logacjov, et al.
Pageof 1

Showing results (1-10 of 10) with videos related to

Sort By:
Pageof 1
Frontiers in Neurorobotics|July 19, 2021
Learning Then, Learning Now, and Every Second in Between: Lifelong Learning With a Simulated Humanoid RobotAleksej Logacjov, Matthias Kerzel, Stefan Wermter
Sensors (Basel, Switzerland)|December 10, 2021
HARTH: A Human Activity Recognition Dataset for Machine LearningAleksej Logacjov, Kerstin Bach, Atle Kongsvold, et al.
Nature and Science of Sleep|June 12, 2024
A Machine Learning Model for Predicting Sleep and Wakefulness Based on Accelerometry, Skin Temperature and Contextual InformationAleksej Logacjov, Eivind Schjelderup Skarpsno, Atle Kongsvold, et al.
Plos One|September 23, 2024
Validation of two novel human activity recognition models for typically developing children and children with Cerebral PalsyMarte Fossflaten Tørring, Aleksej Logacjov, Siri Merete Brændvik, et al.
Sensors (Basel, Switzerland)|March 11, 2023
Validation of an Activity Type Recognition Model Classifying Daily Physical Behavior in Older Adults: The HAR70+ ModelAstrid Ustad, Aleksej Logacjov, Stine Øverengen Trollebø, et al.
BMJ Open Sport & Exercise Medicine|November 3, 2025
Contribution of walking, running and cycling to moderate-to-vigorous and total physical activity in adolescents and adults across and within seasons: cross-sectional data from the Norwegian HUNT StudyAtle Kongsvold, Mats Flaaten, Eivind Schjelderup Skarpsno, et al.
The International Journal of Behavioral Nutrition and Physical Activity|December 19, 2023
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 studyAtle Kongsvold, Mats Flaaten, Aleksej Logacjov, et al.
The International Journal of Behavioral Nutrition and Physical Activity|March 5, 2025
Associations of sport and exercise participation in adolescence with body composition and device-measured physical activity in adulthood: longitudinal data from the Norwegian HUNT studyAtle Kongsvold, Eivind Schjelderup Skarpsno, Mats Flaaten, et al.
Heliyon|February 10, 2025
The performance of a machine learning model in predicting accelerometer-derived walking speedAleksej Logacjov, Tonje Pedersen Ludvigsen, Kerstin Bach, et al.
The International Journal of Behavioral Nutrition and Physical Activity|November 28, 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 studyAtle Kongsvold, Mats Flaaten, Aleksej Logacjov, et al.
Pageof 1