DocumentCode :
714806
Title :
A HTML5-Based Innovative Sleep Prescription Service
Author :
Ming-Che Yeh ; Huang-I Yang ; Hsing Mei
Author_Institution :
Dept. of Comput. Sci. & Inf. Eng., Fu Jen Catholic Univ., Taipei, Taiwan
fYear :
2015
fDate :
March 30 2015-April 3 2015
Firstpage :
221
Lastpage :
222
Abstract :
People spend a third of the lifetime on sleep. Exercise and light exposing have critical influence on sleep quality. Exercise affects sleep efficiency, and the light exposing affect sleep circadian rhythm. This paper investigates the impact of sleep rhythm and efficiency with a HTML5-based behavior recording and analytic service -- Healthy Sleep Space (HSS). HSS takes advantages of important features from HTML5, such as consistent user experience across multiple mobile device, offline processing etc. With HSS, users can record their sleep and behavioral information, then analyze collected information in the cloud, regardless of internet condition or type of mobile devices. We propose a simple Sleep Quotient (SQ) index to evaluate the quality of sleep. Based on the SQ values, HSS provides appropriate exercise and light exposure prescriptions to modify user´s daytime behavior, and eventually to improve sleep quality.
Keywords :
circadian rhythms; cloud computing; hypermedia markup languages; medical computing; mobile computing; patient monitoring; sleep; HSS; HTML5-based behavior recording; HTML5-based innovative sleep prescription service; SQ values; analytic service; cloud; daytime behavior; exercise; healthy sleep space; light exposing prescriptions; multiple mobile device; offline processing; sleep circadian rhythm; sleep efficiency; sleep quality; sleep quotient index; Circadian rhythm; Cloud computing; Clouds; Indexes; Mobile communication; Mobile handsets; Switching circuits; Behavior Adjustment; Circadian Rhythm; Exercise; HTML5; Sleep Quotient;
fLanguage :
English
Publisher :
ieee
Conference_Titel :
Mobile Cloud Computing, Services, and Engineering (MobileCloud), 2015 3rd IEEE International Conference on
Conference_Location :
San Francisco, CA
Type :
conf
DOI :
10.1109/MobileCloud.2015.18
Filename :
7130890
Link To Document :
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