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