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Prediction of sleep efficiency from big physical exercise data

Authors :
Liu, X. (Xiaoli)
Tamminen, S. (Satu)
Korhonen, T. (Topi)
Röning, J. (Juha)
Riekki, J. (Jukka)
Liu, X. (Xiaoli)
Tamminen, S. (Satu)
Korhonen, T. (Topi)
Röning, J. (Juha)
Riekki, J. (Jukka)
Publication Year :
2019

Abstract

Physical exercise can improve sleep quality. However, how to perform physical exercise to achieve the best possible improvements is not clear. In this article, we build predictive models based on volume real data collected from wearable devices to predict the sleep efficiency related to users’ daily exercise information. As far as we know, this is the first study to investigate insights of prediction of sleep efficiency from volume physical exercise data collected from real world.

Details

Database :
OAIster
Notes :
application/pdf, English
Publication Type :
Electronic Resource
Accession number :
edsoai.on1153344977
Document Type :
Electronic Resource