Skip to main content
SpringerLink
Log in
Book cover

Handbook of Smart Homes, Health Care and Well-Being pp 567–577Cite as

Visualizing Smart Home and Wellness Data

  • Reference work entry
  • First Online:

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.

This is a preview of subscription content, log in via an institution.

Chapter
USD   29.95
Price excludes VAT (USA)
  • Available as PDF
  • Read on any device
  • Instant download
  • Own it forever
eBook
USD   379.99
Price excludes VAT (USA)
  • Available as EPUB and PDF
  • Read on any device
  • Instant download
  • Own it forever
Hardcover Book
USD   329.99
Price excludes VAT (USA)
  • Durable hardcover edition
  • Dispatched in 3 to 5 business days
  • Free shipping worldwide - see info

Tax calculation will be finalised at checkout

Purchases are for personal use only

Learn about institutional subscriptions

References

  • 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

    Article  Google Scholar 

  • 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

    Article  Google Scholar 

  • 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

    Google Scholar 

  • Cook DJ, Crandall AS, Thomas BL, Krishnan NC (2013) CASAS: a smart home in a box. Computer 46(7):62–69

    Article  Google Scholar 

  • Davis GA, Ball HE (1989) Effects of age on comprehension of complex sentences in adulthood. J Speech Hear Res 32(1):143–150

    Article  Google Scholar 

  • Dunn HL (1959) High-level wellness for man and society. Am J Public Health Nations Health 49(6):786–792

    Article  Google Scholar 

  • 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

    Google Scholar 

  • 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

    Google Scholar 

  • Hoyman HS (1975) Rethinking an ecologic-system model of man’s health, disease, aging, death. J Sch Health 45(9):509–518

    Article  Google Scholar 

  • Huh J, Le T, Reeder B, Thompson HJ, Demiris G (2013) Perspectives on wellness self-monitoring tools for older adults. Int J Med Inf

    Google Scholar 

  • 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

    Article  Google Scholar 

  • 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

    Google Scholar 

  • 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://link.springer.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://link.springer.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

    Article  Google Scholar 

  • 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

    Google Scholar 

  • 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

    Google Scholar 

  • 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

    Google Scholar 

  • 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://link.springer.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

    Article  Google Scholar 

  • 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

    Google Scholar 

  • 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

    Article  Google Scholar 

  • Yamazaki T (2006) Beyond the smart home. In: International conference on hybrid information technology, 2006 ICHIT’06, pp 350–355

    Google Scholar 

Download references

Author information

Authors and Affiliations

  1. Department of Biomedical Informatics and Medical Education, School of Medicine, University of Washington, Pullman, WA, USA

    Thai Le

Authors
  1. Thai Le
    View author publications

    You can also search for this author in PubMed Google Scholar

Corresponding author

Correspondence to Thai Le .

Editor information

Editors and Affiliations

  1. Fontys EGT – Centre for Healthcare and Technology, Fontys University of Applied Sciences, Eindhoven, The Netherlands

    Joost van Hoof

  2. School of Medicine, University of Washington, Seattle, Washington, USA

    George Demiris

  3. Institute of allied health professions, Fontys University of Applied Sciences, Eindhoven, The Netherlands

    Eveline J.M. Wouters

Rights and permissions

Reprints and permissions

Copyright information

© 2017 Springer International Publishing Switzerland (outside the USA)

About this entry

Cite this entry

Le, T. (2017). 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/10.1007/978-3-319-01583-5_54

Download citation

Publish with us

Policies and ethics

Search

Navigation