Modeling Executable Test Actors: Exploratory Study Done in Executable and Translatable UML. - Rogardt Heldal; Daniel Arvidsson; Fredrik Persson (APSEC, 2012)

A Biomechanical Re-Examination of Physical Activity Measurement with Accelerometers. - Jonatan Fridolfsson; Mats Börjesson; Daniel Arvidsson (Sensors, 2018)

Reexamination of Accelerometer Calibration with Energy Expenditure as Criterion: VO2net Instead of MET for Age-Equivalent Physical Activity Intensity. - Daniel Arvidsson; Jonatan Fridolfsson; Christoph Buck 003; Örjan Ekblom; Elin Ekblom-Bak; Lauren Lissner; Monica Hunsberger; Mats Börjesson (Sensors, 2019)

Effects of Frequency Filtering on Intensity and Noise in Accelerometer-Based Physical Activity Measurements. - Jonatan Fridolfsson; Mats Börjesson; Christoph Buck 003; Örjan Ekblom; Elin Ekblom-Bak; Monica Hunsberger; Lauren Lissner; Daniel Arvidsson (Sensors, 2019)

Stronger Association between High Intensity Physical Activity and Cardiometabolic Health with Improved Assessment of the Full Intensity Range Using Accelerometry. - Jonatan Fridolfsson; Mats Börjesson; Elin Ekblom-Bak; Örjan Ekblom; Daniel Arvidsson (Sensors, 2020)

Measurement of Physical Activity by Shoe-Based Accelerometers - Calibration and Free-Living Validation. - Jonatan Fridolfsson; Daniel Arvidsson; Stefan Grau (Sensors, 2021)

Energy Expenditure Prediction from Accelerometry Data Using Long Short-Term Memory Recurrent Neural Networks. - Martin Vibæk; Abdolrahman Peimankar; Uffe Kock Wiil; Daniel Arvidsson; Jan Christian Brønd (Sensors, 2024)