Fetching the paper…
Reading the bibliography…
In this paper we study the prediction of heart rate from acceleration using a wrist worn wearable.
A photoelectric plethysmograph for the measurement of cutaneous blood flow
A V J Challoner and C A Ramsay. 1974 · 1974
Earlier work this paper cites.
A Survey on Concept Drift Adaptation
João Gama, Indrė Žliobaitė, Albert Bifet, Mykola Pechenizkiy, and Abdelhamid Bouchachia. 2014 · 2014
Earlier work this paper cites.
Bridging e-Health and the Internet of Things: The SPHERE Project
Ni Zhu et al. 2015 · 2015
Cited alongside, same era.
On-board feature extraction from acceleration data for activity recognition. In EWSN
Atis Elsts, Ryan McConville, Xenofon Fafoutis, Niall Twomey, Robert Piechocki, Raul Santos-Rodriguez, and Ian Craddock. 2017 · 2017
Cited alongside, same era.
Understanding the Quality of Calibrations for Indoor Localisation. In WF-IoT
Ryan McConville, Dallan Byrne, Ian Craddock, Robert Piechocki, James Pope, and Raul Santos-Rodriguez. 2018a
Cited in the paper.
Person identification and discovery with wrist worn accelerometer data. In ESANN
Ryan McConville, Raul Santos-Rodriguez, and Niall Twomey. 2018b
Cited in the paper.
Clinical Evaluation of the Measurement Performance of the Philips Health Watch: A Within-Person Comparative Study. In JMIR mHealth and uHealth
Jos Hendrikx, Loes S Ruijs, Lieke Ge Cox, Paul Mc Lemmens, Erik Gp Schuijers, and Annelies Hc Goris. 2017 · 2017
Later among the works it cites.
James Pope, Ryan McConville, Michal Kozlowski, Xenofon Fafoutis, Raul Santos-Rodriguez, Robert Piechocki, and Ian Craddock. 2017 · 2017
Later among the works it cites.
alphaXiv searches the wider corpus for related work and actual follow-ups.
alphaXiv is searching for related work…