Device research record
Axivity AX3
Signals and sensors
From the device record. Fields the source does not state are left out.
- Maker
- Axivity
- Form factor
- Wrist
- Signals recorded
- Accelerometer
Datasets recorded with this device
Leaderboards on its datasets
Benchmarks computed on data recorded with Axivity AX3.
Models trained or evaluated on its data
Models whose published training or evaluation datasets include recordings from this device.
- HARNet / OxWearables SSL (2024)
- Sensori (2026)
Papers using these datasets
- ActiNet: an open-source tool for activity intensity classification of wrist-worn accelerometry using self-supervised deep learning
- CAPTURE-24: A large dataset of wrist-worn activity tracker data collected in the wild for human activity recognition
- CAPTURE-24: Free-Living Wrist Accelerometer Dataset
- Large Scale Population Assessment of Physical Activity Using Wrist Worn Accelerometers: The UK Biobank Study
- An open-source deep learning model for classifying real-world activity intensities in persons with chronic pain using a wrist-worn accelerometer
- Characterizing the Performance Gap in Human Activity Recognition for Older Adults
- Genome-wide association analyses of chronotype in 697,828 individuals provides insights into circadian rhythms
- The 103,200-arm acceleration dataset in the UK Biobank revealed a landscape of human sleep phenotypes
- Association of disrupted circadian rhythmicity with mood disorders, subjective wellbeing, and cognitive function: a cross-sectional study of 91 105 participants from the UK Biobank
- MorphCL: Morphological Contrastive Learning for Inertial-based Human Activity Recognition
- Variable Input Masked Autoencoders for Wrist-Worn Accelerometry (VarMAE)
- Statistical machine learning of sleep and physical activity phenotypes from sensor data in 96,220 UK Biobank participants