Zero-Effort In-Home Sleep and Insomnia Monitoring using Radio Signals

Autor: Shichao Yue, Aayush Ahuja, Zachary Kabelac, Dina Katabi, Rumen Hristov, Chen-Yu Hsu
Rok vydání: 2017
Předmět:
Zdroj: Proceedings of the ACM on Interactive, Mobile, Wearable and Ubiquitous Technologies. 1:1-18
ISSN: 2474-9567
Popis: Insomnia is the most prevalent sleep disorder in the US. In-home insomnia monitoring is important for both diagnosis and treatment. Existing solutions, however, require the user to either maintain a sleep diary or wear a sensor while sleeping. Both can be quite cumbersome. This paper introduces EZ-Sleep, a new approach for monitoring insomnia and sleep. EZ-Sleep has three properties. First, it is zero effort, i.e., it neither requires the user to wear a sensor nor to record any data. It monitors the user remotely by analyzing the radio signals that bounce off her body. Second, it delivers new features unavailable with other devices such as automatically detecting where the user sleeps and her exact bed schedule, while simultaneously monitoring multiple users in different beds. Third, it is highly accurate. Its average error in measuring sleep latency and total sleep time is 4.9 min and 10.3 min, respectively.
Databáze: OpenAIRE