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A method to compare new and traditional accelerometry data in physical activity monitoring.

, , , , and . WOWMOM, page 1-6. IEEE Computer Society, (2010)

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SelfHAR: Improving Human Activity Recognition through Self-training with Unlabeled Data., , , , , and . CoRR, (2021)Turning Silver into Gold: Domain Adaptation with Noisy Labels for Wearable Cardio-Respiratory Fitness Prediction., , , , , , , and . CoRR, (2022)Longitudinal cardio-respiratory fitness prediction through wearables in free-living environments., , , , , , and . npj Digit. Medicine, (2022)Longitudinal cardio-respiratory fitness prediction through free-living wearable sensors., , , , , and . CoRR, (2022)Wearable-device-measured physical activity and future health risk, , , , , , , , and . Nature Medicine, (2020)Self-supervised transfer learning of physiological representations from free-living wearable data., , , , and . CHIL, page 69-78. ACM, (2021)UDAMA: Unsupervised Domain Adaptation through Multi-discriminator Adversarial Training with Noisy Labels Improves Cardio-fitness Prediction., , , , , , , and . MLHC, volume 219 of Proceedings of Machine Learning Research, page 863-883. PMLR, (2023)Estimating city-level travel patterns using street imagery: a case study of using Google Street View in Britain., , , , , , , , and . CoRR, (2018)Self-supervised transfer learning of physiological representations from free-living wearable data., , , , and . CoRR, (2020)Gaussian Process Robust Regression for Noisy Heart Rate Data., , , and . IEEE Trans. Biomed. Eng., 55 (9): 2143-2151 (2008)