skip to main content
10.1145/1864431.1864490acmconferencesArticle/Chapter ViewAbstractPublication PagesubicompConference Proceedingsconference-collections
short-paper

Embedded assessment of wellness with smart home sensors

Published: 26 September 2010 Publication History

Abstract

Embedded home sensors hold the promise of helping older adults age in place. They can help older adults maintain awareness of their functional abilities, a critical step for early detection of decline. In this proposal, I describe my research in understanding how to design and deploy home sensors that monitor how well individuals perform everyday activities. These systems collect an overwhelming amount of data, and thus I will identify the information needs of stakeholders to inform the design of salient summaries of the data for elders, their family caregivers, and their doctors to become more aware of changes functional abilities.

References

[1]
}}Barberger-Gateau, P., Fabrigoule, C., Helmer, C., Rouch, I. and Dartigues, J. (1999). Functional impairment in IADLs: an early clinical sign of dementia? J Am Geriatr Soc. 47(4), 456--462.
[2]
}}Consolvo, S., Roessler, P., & Shelton, B. E. (2004). The carenet display: Lessons learned from an in home evaluation of an ambient display. UbiComp 2004: Ubiquitous Computing, 1--17.
[3]
}}Diehl, M., Marsiske, M., Horgas, A. L., Rosenberg, A., Saczynski, J. S. and Willis, S. L. (2005). The revised observed tasks of daily living: A performance-based assessment of everyday problem solving in older adults. Journal of Applied Gerontology 24(3), 211--211.
[4]
}}Fishkin, K. P., Jiang, B., Philipose, M., & Roy, S. (2004). I sense a disturbance in the force: Unobtrusive detection of interactions with rfid-tagged objects. UbiComp 2004: Ubiquitous Computing, 268--282.
[5]
}}Froehlich, J. E., Larson, E., Campbell, T., Haggerty, C., Fogarty, J., & Patel, S. N. (2009). HydroSense: infrastructure-mediated single-point sensing of whole-home water activity. In Proceedings of the 11th international conference on Ubiquitous computing (pp. 235--244).
[6]
}}Intille, S.S. (2002). Designing a Home of the Future. IEEE Pervasive Computing, April-June 2002, pp. 80--86.
[7]
}}Kemp, N., Brodaty, H., Pond, D. and Luscombe, G. (2002) Diagnosing Dementia in Primary Care: The Accuracy of Informant Reports. Alzheimer Disease & Associated Disorders. 16(3), 171--176.
[8]
}}Kidd, C. D., Orr, R. J., Abowd, G. D., Atkeson, C. G., Essa, I. A., MacIntyre, B., Mynatt, E., Starner, T. E., Newsletter, W. (1999) The Aware Home: A Living Laboratory for Ubiquitous Computing Research. Proceedings of the Second International Workshop on Cooperative Buildings - CoBuild'99. Position paper.
[9]
}}Lawton, M. P., & Brody, E. M. (1969). Assessment of older people: self-maintaining and instrumental activities of daily living. The Gerontologist, 9(3 Part 1), 179.
[10]
}}Lee, M. & Dey, A. (2010) Embedded Assessment of Older Adults: A Concept Validation. In Proceedings of Pervasive Health 2010 (pp 1--8).
[11]
}}1Modayil, J., Bai, T., & Kautz, H. (2008). Improving the recognition of interleaved activities. In Proceedings of the 10th international conference on Ubiquitous computing (pp. 40--43).
[12]
}}Morris, M., Intille, S. S. and Beaudin, J. S. (2005). Embedded Assessment: Overcoming Barriers to Early Detection with Pervasive Computing. Pervasive: 333--346.
[13]
}}Okonkwo, O. C., Griffith, R. H., Vance, D. E., Marson, D. C., Ball, K. K. and Wadley, V. G. (2009). Awareness of Functional Difficulties in Mild Cognitive Impairment: A Multidomain Assessment Approach. J Am Geriatr Soc. 57(6), 978--978.
[14]
}}Owsley, C., Sloane, M., McGwin Jr, G. and Ball, K. (2002). TIADL: Relationship to cognitive function and everyday performance assessments in older adults. Gerontology 48, 254--265.
[15]
}}Patel, S., Reynolds, M., & Abowd, G. (2008). Detecting human movement by differential air pressure sensing in HVAC system ductwork: An exploration in infrastructure mediated sensing. Pervasive Computing, 1--18.
[16]
}}Patel, S., Truong, K., & Abowd, G. (2006). PowerLine Positioning: A Practical Sub-Room-Level Indoor Location System for Domestic Use. In UbiComp 2006: Ubiquitous Computing (pp. 441--458).
[17]
}}Rowan, J., & Mynatt, E. D. (2005). Digital family portrait field trial: Support for aging in place. In Proceedings of the SIGCHI conference on Human factors in computing systems, April (pp. 02--07).
[18]
}}Tapia, E., Intille, S. and Larson, K. Activity recognition in the home using simple and ubiquitous sensors. Lecture Notes in Computer Science (2004): 158--175.
[19]
}}van Kasteren, T., Noulas, A., Englebienne, G., & Kröse, B. (2008). Accurate activity recognition in a home setting. In Proceedings of the 10th international conference on Ubiquitous computing (pp. 1--9).

Cited By

View all
  • (2019)Random k-Labelsets Method for Human Activity Recognition with Multi-Sensor Data in Smart Home2019 IEEE 16th India Council International Conference (INDICON)10.1109/INDICON47234.2019.9030296(1-4)Online publication date: Dec-2019
  • (2017)Modeling activity recognition of multi resident using label combination of multi label classification in smart home10.1063/1.5005427(020094)Online publication date: 2017
  • (2016)Intentions to Use Smart Textiles in AAL Home Environments: Comparing Younger and Older AdultsHuman Aspects of IT for the Aged Population. Design for Aging10.1007/978-3-319-39943-0_26(266-276)Online publication date: 21-Jun-2016
  • Show More Cited By

Index Terms

  1. Embedded assessment of wellness with smart home sensors

    Recommendations

    Comments

    Information & Contributors

    Information

    Published In

    cover image ACM Conferences
    UbiComp '10 Adjunct: Proceedings of the 12th ACM international conference adjunct papers on Ubiquitous computing - Adjunct
    September 2010
    203 pages
    ISBN:9781450302838
    DOI:10.1145/1864431
    Permission to make digital or hard copies of all or part of this work for personal or classroom use is granted without fee provided that copies are not made or distributed for profit or commercial advantage and that copies bear this notice and the full citation on the first page. Copyrights for components of this work owned by others than ACM must be honored. Abstracting with credit is permitted. To copy otherwise, or republish, to post on servers or to redistribute to lists, requires prior specific permission and/or a fee. Request permissions from [email protected]

    Sponsors

    In-Cooperation

    • University of Florida: University of Florida

    Publisher

    Association for Computing Machinery

    New York, NY, United States

    Publication History

    Published: 26 September 2010

    Permissions

    Request permissions for this article.

    Check for updates

    Author Tags

    1. aging in place
    2. elder
    3. embedded assessment
    4. salient summary
    5. sensors
    6. smart home

    Qualifiers

    • Short-paper

    Conference

    Ubicomp '10
    Ubicomp '10: The 2010 ACM Conference on Ubiquitous Computing
    September 26 - 29, 2010
    Copenhagen, Denmark

    Acceptance Rates

    Overall Acceptance Rate 764 of 2,912 submissions, 26%

    Contributors

    Other Metrics

    Bibliometrics & Citations

    Bibliometrics

    Article Metrics

    • Downloads (Last 12 months)0
    • Downloads (Last 6 weeks)0
    Reflects downloads up to 09 Feb 2025

    Other Metrics

    Citations

    Cited By

    View all
    • (2019)Random k-Labelsets Method for Human Activity Recognition with Multi-Sensor Data in Smart Home2019 IEEE 16th India Council International Conference (INDICON)10.1109/INDICON47234.2019.9030296(1-4)Online publication date: Dec-2019
    • (2017)Modeling activity recognition of multi resident using label combination of multi label classification in smart home10.1063/1.5005427(020094)Online publication date: 2017
    • (2016)Intentions to Use Smart Textiles in AAL Home Environments: Comparing Younger and Older AdultsHuman Aspects of IT for the Aged Population. Design for Aging10.1007/978-3-319-39943-0_26(266-276)Online publication date: 21-Jun-2016
    • (2012)Opportunities for ubiquitous computing in the homes of low SES older adultsProceedings of the 2012 ACM Conference on Ubiquitous Computing10.1145/2370216.2370353(659-660)Online publication date: 5-Sep-2012
    • (2011)When your living space knows what you doProceedings of the 7th conference on Workgroup Human-Computer Interaction and Usability Engineering of the Austrian Computer Society: information Quality in e-Health10.1007/978-3-642-25364-5_43(607-624)Online publication date: 25-Nov-2011

    View Options

    Login options

    View options

    PDF

    View or Download as a PDF file.

    PDF

    eReader

    View online with eReader.

    eReader

    Figures

    Tables

    Media

    Share

    Share

    Share this Publication link

    Share on social media