Abstract
Smart homes provide a valuable opportunity to collect data continuously and unobtrusively. However, the data come in varied formats and can be challenging to comprehend. Visualizations can abstract the raw data into representations that better support understanding and insight generation. In this chapter, we present an overview of visualization approaches towards representing smart home data. We also provide a discussion of the challenges in visualizing this information.
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Alam MR, Reaz MBI, Ali MAM (2012) A review of smart homes – past, present, and future. IEEE Trans Syst Man Cybern Part C Appl Rev 42(6):1190–1203
Ball K, Berch DB, Helmers KF, Jobe JB, Leveck MD, Marsiske M et al (2002) Effects of cognitive training interventions with older adults: a randomized controlled trial. JAMA 288(18):2271–2281
Chen C, Dawadi P (2011) CASASviz: web-based visualization of behavior patterns in smart environments. In: 2011 I.E. international conference on pervasive computing and communications workshops (PERCOM workshops), pp 301–303
Cook DJ, Crandall AS, Thomas BL, Krishnan NC (2013) CASAS: a smart home in a box. Computer 46(7):62–69
Davis GA, Ball HE (1989) Effects of age on comprehension of complex sentences in adulthood. J Speech Hear Res 32(1):143–150
Dunn HL (1959) High-level wellness for man and society. Am J Public Health Nations Health 49(6):786–792
Froehlich JE, Larson E, Campbell T, Haggerty C, Fogarty J, Patel SN (2009) HydroSense: infrastructure-mediated single-point sensing of whole-home water activity. In: Proceedings of the 11th international conference on ubiquitous computing [internet], pp 235–244. [Cited 2013 Nov 26]. Available from: http://dl.acm.org/citation.cfm?id=1620581
Hayes TL, Pavel M, Kaye JA (2004) An unobtrusive in-home monitoring system for detection of key motor changes preceding cognitive decline. In: 26th annual international conference of the IEEE engineering in medicine and biology society, 2004 IEMBS’04, pp 2480–2483
Helal S, Winkler B, Lee C, Kaddoura Y, Ran L, Giraldo C, et al. (2003) Enabling location-aware pervasive computing applications for the elderly. In: Proceedings of the first IEEE international conference on pervasive computing and communications, 2003 (PerCom 2003). pp 531–536
Hoyman HS (1975) Rethinking an ecologic-system model of man’s health, disease, aging, death. J Sch Health 45(9):509–518
Huh J, Le T, Reeder B, Thompson HJ, Demiris G (2013) Perspectives on wellness self-monitoring tools for older adults. Int J Med Inf
Jakkula V, Cook DJ (2007) Mining sensor data in smart environment for temporal activity prediction. Poster Sess ACM SIGKDD, San Jose [Internet]. [Cited 2013 Nov 27]. Available from: http://eecs.wsu.edu/~vjakkula/ACMKDSD.pdf
Jimison H, Pavel M, McKanna J, Pavel J (2004) Unobtrusive monitoring of computer interactions to detect cognitive status in elders. IEEE Trans Inf Technol Biomed 8(3):248–252
Noury N, Herve T, Rialle V, Virone G, Mercier E, Morey G, et al. (2000) Monitoring behavior in home using a smart fall sensor and position sensors. In: Microtechnologies in medicine and biology, 1st annual international, conference on 2000, pp 607–610
Patel SN, Robertson T, Kientz JA, Reynolds MS, Abowd GD (2007) At the flick of a switch: detecting and classifying unique electrical events on the residential power line (nominated for the best paper award). In: Krumm J, Abowd GD, Seneviratne A, Strang T (eds) UbiComp 2007: ubiquitous computing [internet]. Springer, Berlin/Heidelberg, pp 271–288. [Cited 2013 Nov 26], Available from: http://springerlink.bibliotecabuap.elogim.com/chapter/10.1007/978-3-540-74853-3_16
Patel SN, Reynolds MS, Abowd GD (2008) Detecting human movement by differential air pressure sensing in HVAC system ductwork: an exploration in infrastructure mediated sensing. In: Indulska J, Patterson DJ, Rodden T, Ott M (eds) Pervasive computing [internet]. Springer, Berlin/Heidelberg, pp 1–18. [Cited 2013 Nov 26]. Available from: http://springerlink.bibliotecabuap.elogim.com/chapter/10.1007/978-3-540-79576-6_1
Perry M, Dowdall A, Lines L, Hone K (2004) Multimodal and ubiquitous computing systems: supporting independent-living older users. IEEE Trans Inf Technol Biomed 8(3):258–270
Raad MW, Yang LT (2008) A ubiquitous smart home for elderly. In: 4th IET international conference on advances in medical, signal and information processing, 2008 MEDSIP 2008, pp 1–4
Reeder B, Le T, Thompson HJ, Demiris G (2013) Comparing information needs of health care providers and older adults: findings from a wellness study. Stud Health Technol Inform 192:18–22
Szewcyzk S, Dwan K, Minor B, Swedlove B, Cook D (2009) Annotating smart environment sensor data for activity learning. Technol Health Care 17(3):161–169
Tapia EM, Intille SS, Larson K (2004) Activity recognition in the home using simple and ubiquitous sensors. In: Ferscha A, Mattern F (eds) Pervasive computing [internet]. Springer, Berlin/Heidelberg, pp 158–175. [Cited 2013 Nov 26]. Available from: http://springerlink.bibliotecabuap.elogim.com/chapter/10.1007/978-3-540-24646-6_10
Thomas BL, Crandall AS (2011) A demonstration of PyViz, a flexible smart home visualization tool. In: Pervasive computing and communications workshops (PERCOM workshops), 2011 I.E. international conference on [internet], pp 304–306. [Cited 2013 Nov 27]. Available from: http://ieeexplore.ieee.org/xpls/abs_all.jsp?arnumber=5766889
Thompson HJ, Demiris G, Rue T, Shatil E, Wilamowska K, Zaslavsky O et al (2011) A holistic approach to assess older adults’ wellness using e-health technologies. Telemed J E Health 17(10):794–800
Wang S, Skubic M (2008) Density map visualization from motion sensors for monitoring activity level. In: 2008 IET 4th international conference on intelligent environments, pp 1–8
Williams G, Doughty K, Bradley DA (1998) A systems approach to achieving CarerNet-an integrated and intelligent telecare system. IEEE Trans Inf Technol Biomed 2(1):1–9
Yamazaki T (2006) Beyond the smart home. In: International conference on hybrid information technology, 2006 ICHIT’06, pp 350–355
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Le, T. (2014). Visualizing Smart Home and Wellness Data. In: van Hoof, J., Demiris, G., Wouters, E. (eds) Handbook of Smart Homes, Health Care and Well-Being. Springer, Cham. https://doi.org/10.1007/978-3-319-01904-8_54-1
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DOI: https://doi.org/10.1007/978-3-319-01904-8_54-1
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