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Estimating Energy Expenditure Using Body-Worn Accelerometers: A Comparison of Methods, Sensors Number and Positioning.

, , , and . IEEE J. Biomed. Health Informatics, 19 (1): 219-226 (2015)

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Transfer Learning in Body Sensor Networks Using Ensembles of Randomized Trees., , and . IEEE Internet of Things Journal, 2 (1): 33-40 (2015)Body weight-normalized Energy Expenditure estimation using combined activity and allometric scaling clustering., , and . EMBC, page 6752-6755. IEEE, (2013)Cardiorespiratory fitness estimation in free-living using wearable sensors., , , and . Artif. Intell. Medicine, (2016)The Promise of Sleep: A Multi-Sensor Approach for Accurate Sleep Stage Detection Using the Oura Ring., and . Sensors, 21 (13): 4302 (2021)Personalizing energy expenditure estimation using a cardiorespiratory fitness predicate., , and . PervasiveHealth, page 65-72. IEEE, (2013)Relation between estimated cardiorespiratory fitness and running performance in free-living: An analysis of HRV4Training data., , and . BHI, page 249-252. IEEE, (2017)Estimating Oxygen Uptake During Nonsteady-State Activities and Transitions Using Wearable Sensors., , and . IEEE J. Biomed. Health Informatics, 20 (2): 469-475 (2016)Transfer Learning in Body Sensor Networks Using Ensembles of Randomised Trees., , and . BSN, page 39-44. IEEE, (2014)Wearable Sensors for Healthier Pregnancies., , , and . Proc. IEEE, 103 (2): 179-191 (2015)HRV4Training: Large-scale longitudinal training load analysis in unconstrained free-living settings using a smartphone application., and . EMBC, page 2610-2613. IEEE, (2016)