Title :
Wake IQ: Using a smartphone to reduce sleep inertia
Author :
Van Devender, M. ; Yi Shang
Author_Institution :
Dept. of Comput. Sci., Univ. of Missouri, Columbia, MO, USA
Abstract :
This paper presents Wake IQ, a smartphone program to reduce sleep inertia. Wake IQ aims at waking its user with proper timing so as to reduce or eliminate sleep inertia and increase overall alertness, while maintaining a convenience conducive to everyday use. It is constructed based on machine learning techniques, phone accelerometer data sampled during slumber, and user alertness test scores. Tests of the system have demonstrated a gradually increasing average response speed to reaction time tests over a period of a number of weeks, indicative of a trend towards reduced sleep inertia arising from use of the smartphone application.
Keywords :
accelerometers; learning (artificial intelligence); sleep; smart phones; telecommunication computing; average response speed; convenience conducive; machine learning techniques; phone accelerometer data sample; sleep inertia reduction; smartphone program; user alertness test scores; Accelerometers; Batteries; Battery charge measurement; Electroencephalography; Muscles; Prediction algorithms; Sleep;
Conference_Titel :
Consumer Communications and Networking Conference (CCNC), 2013 IEEE
Conference_Location :
Las Vegas, NV
Print_ISBN :
978-1-4673-3131-9
DOI :
10.1109/CCNC.2013.6488518