Blar i NTNU Open på forfatter "Logacjov, Aleksej"
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A Data-Driven CBR and Clustering Method for Identifying Physical Activity Phenotypes
Hasund, Anne Marie Skaar (Master thesis, 2023)Denne masteroppgåva undersøker nyskapande metodar for å identifisere fenotypar for fysisk aktivitet, hovudsakleg ved bruk av Case-Based Reasoning (CBR) og gruppering. Studien utforskar effektane av å variere talet på ... -
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
Kongsvold, Atle Austnes; Flaaten, Mats; Logacjov, Aleksej; Skarpsno, Eivind Schjelderup; Bach, Kerstin; Nilsen, Tom Ivar Lund; Mork, Paul Jarle (Peer reviewed; Journal article, 2023)Background Despite apparent shortcomings such as measurement error and low precision, self-reported sedentary time is still widely used in surveillance and research. The aim of this study was threefold; (i) to examine ... -
Harth: A human activity recognition dataset for machine learning
Logacjov, Aleksej; Bach, Kerstin; Kongsvold, Atle; Bårdstu, Hilde Bremseth; Mork, Paul Jarle (Peer reviewed; Journal article, 2021)Existing accelerometer-based human activity recognition (HAR) benchmark datasets that were recorded during free living suffer from non-fixed sensor placement, the usage of only one sensor, and unreliable annotations. We ... -
Large-Scale Pre-Training for Dual-Accelerometer Human Activity Recognition
Logacjov, Aleksej; Herland, Sverre; Ustad, Astrid; Bach, Kerstin (Peer reviewed; Journal article, 2023) -
A Machine Learning Classifier for Detection of Physical Activity Types and Postures During Free-Living
Bach, Kerstin; Kongsvold, Atle Austnes; Bårdstu, Hilde Bremseth; Bardal, Ellen Marie; Kjærnli, Håkon Slåtten; Herland, Sverre; Logacjov, Aleksej; Mork, Paul Jarle (Journal article; Peer reviewed, 2021)Accelerometer-based measurements of physical activity types are commonly used to replace self-reports. To advance the field, it is desirable that such measurements allow accurate detection of key daily physical activity ... -
Self-Supervised Human Activity Recognition on Free-Living Sensor Data Streams
Riibe, Eskil Reitan (Master thesis, 2023)Å kvantifisere befolkningens fysiske aktivitetstilstand gjøres tradisjonelt gjennom spørreskjemaer, en metode som er underlagt iboende skjevheter. Som et alternativ kan menneskelig aktivitetsgjenkjenning (HAR) gjennom ... -
Sleep classification of body-worn accelerometer data using machine learning
Gryvill, Margrethe (Master thesis, 2021)Søvn er essensielt for å opprettholde god fysisk og psykisk helse. Et viktig aspekt ved søvn er mønsteret av søvnstadier, som kan si mye om en persons søvnkvalitet. Innenfor søvnstadie-klassifisering er målet å kunne skille ...