Published on in Vol 13 (2025)
Preprints (earlier versions) of this paper are
available at
https://preprints.jmir.org/preprint/58078, first published
.
Trade-Offs Between Simplifying Inertial Measurement Unit–Based Movement Recordings and the Attainability of Different Levels of Analyses: Systematic Assessment of Method Variations
Trade-Offs Between Simplifying Inertial Measurement Unit–Based Movement Recordings and the Attainability of Different Levels of Analyses: Systematic Assessment of Method Variations
Journals
- Niño-Tejada K, Saldaña-Aristizábal L, Rivas-Caicedo J, Patarroyo-Montenegro J. Upper Limb Joint Angle Estimation Using a Reduced Number of IMU Sensors and Recurrent Neural Networks. Electronics 2025;14(15):3039 View
- Haq I, Felicetti F, Lamonaca F. Measurement Uncertainty and Traceability in Upper Limb Rehabilitation Robotics: A Metrology-Oriented Review. Journal of Sensor and Actuator Networks 2026;15(1):8 View
- Airaksinen M, Palsa T, Hautala A, Boonzaaijer M, Haataja L, Vanhatalo S. Gross motor performance of infants with an at‐home wearable measurement and the Alberta Infant Motor Scale: A concurrent validity study. Developmental Medicine & Child Neurology 2026;68(10):1440 View
- Vanhatalo S, Austin T, Boylan G, Blumberg M, de Vos M, Airaksinen M, de Sena S, Shellhaas R, Dudink J. Assessing infants’ sleep in the home setting: designing rational study approaches. Pediatric Research 2026 View
- Airaksinen M, Taylor E, Palsa T, de Sena S, Haataja L, Vanhatalo S. At-home wearable measurements provide detailed growth charts of infant early gross motor development. Science Translational Medicine 2026;18(859) View
- Hassan M, Cao L, Rai H, Ghani A. Multimodal fusion for precision livestock behavior monitoring: A systematic review of deep learning, pose estimation, and sensor integration strategies. Information Fusion 2027;139:104779 View
- Wang H, Rousey H, Franchak J. Quantifying infants’ everyday restrained experiences in the home using wearable inertial sensors. Behavior Research Methods 2026;58(11) View
- Prabhakar S, Moghadam A, Kakhki F. Wearable-IMU Machine Learning for Exertion and Fatigue Assessment with an Occupational Exoskeleton in Manufacturing. Manufacturing Letters 2026;49:228 View
Conference Proceedings
- Courtial A, Badreddine W, Bosche J, Midavaine H. 2025 International Conference on Modeling, Analysis and Simulation of Wireless and Mobile Systems (MSWiM). Design and Evaluation of a Multi-Hop Wearable WBAN Framework for Reliable Remote Health Monitoring View