Abstract | ||
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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 |
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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 Krishna | 1 | 6 | 5.91 |
Madhumita Mallick | 2 | 9 | 2.51 |
Bivas Mitra | 3 | 98 | 25.41 |