Forecasting behavior in smart homes based on sleep and wake patterns.
BACKGROUND
The goal of this research is to use smart home technology to assist people who are recovering from injuries or coping with disabilities to live independently.


OBJECTIVE
We introduce an algorithm to model and forecast wake and sleep behaviors that are exhibited by the participant. Furthermore, we propose that sleep behavior is impacted by and can be modeled from wake behavior, and vice versa.


METHODS
This paper describes the Behavior Forecasting (BF) algorithm. BF consists of 1) defining numeric values that reflect sleep and wake behavior, 2) forecasting wake and sleep values from past behavior, 3) analyzing the effect of wake behavior on sleep and vice versa, and 4) improving prediction performance by using both wake and sleep scores.


RESULTS
The BF method was evaluated with data collected from 20 smart homes. We found that regardless of the forecasting method utilized, wake behavior and sleep behavior can be modeled with a minimum accuracy of 84%. Additionally, normalizing the wake and sleep scores drastically improves the accuracy to 99%.


CONCLUSIONS
The results show that we can effectively model wake and sleep behaviors in a smart environment. Furthermore, wake behaviors can be predicted from sleep behaviors and vice versa.
Jennifer A
JA
Williams
Diane J
DJ
Cook
D000465:Algorithms; D001519:Behavior / Q000502:physiology*; D006801:Humans; D057187:Independent Living; D000069550:Machine Learning; D058998:Remote Sensing Technology / Q000379:methods*; D012890:Sleep / Q000502:physiology; D012894:Sleep Stages / Q000502:physiology*
Machine learning; behavior forecasting; sleep analysis; smart environments
Hum Psychopharmacol. 2008 Oct;23(7):571-85
18680211
Sleep. 2009 Apr;32(4):491-7
19413143
Am J Hypertens. 1994 Mar;7(3):217-21
8003271
Computer (Long Beach Calif). 2013 Jul;46(7):null
24415794
IEEE Trans Inf Technol Biomed. 2012 Nov;16(6):1274-86
22922730
Sleep Med. 2008 Sep;9 Suppl 1:S10-7
18929313
IEEE J Biomed Health Inform. 2016 Jul;20(4):1188-94
26292348
Sleep. 2006 Aug;29(8):1009-14
16944668
Circ Res. 2010 Feb 19;106(3):447-62
20167942
Sleep Med Rev. 2002 Feb;6(1):45-54
12531141
J Psychosom Res. 2002 Sep;53(3):737-40
12217446
Proc IEEE Inst Electr Electron Eng. 2013 Dec 1;101(12):2470-2494
24431472
IEEE Trans Cybern. 2013 Jun;43(3):820-8
23033328
Maturitas. 2009 Oct 20;64(2):90-7
19729255
J Sleep Res. 2011 Sep;20(3):487-94
20887396
Pervasive Mob Comput. 2014 Feb 1;10(Pt B):138-154
24729780
Psychiatry Res. 1989 May;28(2):193-213
2748771
Diabetes Care. 2009 Nov;32(11):1980-5
19641160
Pervasive Mob Comput. 2016 Jun;28:51-68
27346990