Title
SleepSensei: An Automated Sleep Quality Monitor and Sleep Duration Estimator
Abstract
SleepSensei is an automated sleep quality monitor and estimates the sleep duration for a user. It essentially builds a personalized model for determining the apt sleep duration for a given user. In our model, with the help of multiple inter-connected devices, we combine features related to user surroundings and those related to user movements during sleep. We use regression models in our system to calculate \"sleep share\" of a user, and report an MSE as low as 0.0041 when tested on 7 users, with more than a week's data. We also develop a smart alarm based on the notion of \"sleep quota\" from the model. The alarm has an average precision of 0.87 from the survey conducted. We also present an in-depth feature analysis to give further insights of individual sleep behavior.
Year
DOI
Venue
2016
10.1145/2933566.2933570
IoTofHealth@MobiSys
DocType
ISBN
Citations 
Conference
978-1-4503-4334-3
1
PageRank 
References 
Authors
0.35
6
3
Name
Order
Citations
PageRank
Amrith Krishna165.91
Madhumita Mallick292.51
Bivas Mitra39825.41