Literature DB >> 25506128

Mining the Home Environment.

Diane J Cook1, Narayanan Krishnan1.   

Abstract

Individuals spend a majority of their time in their home or workplace and for many, these places are our sanctuaries. As society and technology advance there is a growing interest in improving the intelligence of the environments in which we live and work. By filling home environments with sensors and collecting data during daily routines, researchers can gain insights on human daily behavior and the impact of behavior on the residents and their environments. In this article we provide an overview of the data mining opportunities and challenges that smart environments provide for researchers and offer some suggestions for future work in this area.

Entities:  

Year:  2014        PMID: 25506128      PMCID: PMC4264109          DOI: 10.1007/s10844-014-0341-4

Source DB:  PubMed          Journal:  J Intell Inf Syst        ISSN: 0925-9902            Impact factor:   1.888


  26 in total

1.  A microphone array system for automatic fall detection.

Authors:  Yun Li; K C Ho; Mihail Popescu
Journal:  IEEE Trans Biomed Eng       Date:  2012-05       Impact factor: 4.538

2.  What do family caregivers of Alzheimer's disease patients desire in smart home technologies? Contrasted results of a wide survey.

Authors:  V Rialle; C Ollivet; C Guigui; C Hervé
Journal:  Methods Inf Med       Date:  2008       Impact factor: 2.176

3.  Learning situation models in a smart home.

Authors:  Oliver Brdiczka; James L Crowley; Patrick Reignier
Journal:  IEEE Trans Syst Man Cybern B Cybern       Date:  2008-09-16

4.  Impairment of activities of daily living requiring memory or complex reasoning as part of the MCI syndrome.

Authors:  Robert Perneczky; Corina Pohl; Christian Sorg; Julia Hartmann; Natasa Tosic; Timo Grimmer; Sandra Heitele; Alexander Kurz
Journal:  Int J Geriatr Psychiatry       Date:  2006-02       Impact factor: 3.485

5.  Discovering Activities to Recognize and Track in a Smart Environment.

Authors:  Parisa Rashidi; Diane J Cook; Lawrence B Holder; Maureen Schmitter-Edgecombe
Journal:  IEEE Trans Knowl Data Eng       Date:  2011       Impact factor: 6.977

6.  Predicting Air Quality in Smart Environments.

Authors:  Seun Deleawe; Jim Kusznir; Brian Lamb; Diane J Cook
Journal:  J Ambient Intell Smart Environ       Date:  2010

7.  CASAS: A Smart Home in a Box.

Authors:  Diane J Cook; Aaron S Crandall; Brian L Thomas; Narayanan C Krishnan
Journal:  Computer (Long Beach Calif)       Date:  2013-07       Impact factor: 2.683

8.  MCI is associated with deficits in everyday functioning.

Authors:  Sarah T Farias; Dan Mungas; Bruce R Reed; Danielle Harvey; Deborah Cahn-Weiner; Charles Decarli
Journal:  Alzheimer Dis Assoc Disord       Date:  2006 Oct-Dec       Impact factor: 2.703

9.  Social disconnectedness, perceived isolation, and health among older adults.

Authors:  Erin York Cornwell; Linda J Waite
Journal:  J Health Soc Behav       Date:  2009-03

10.  Location estimation in a smart home: system implementation and evaluation using experimental data.

Authors:  Youcef Rahal; Hélène Pigot; Philippe Mabilleau
Journal:  Int J Telemed Appl       Date:  2008
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  5 in total

1.  Pervasive Computing Technologies to Continuously Assess Alzheimer's Disease Progression and Intervention Efficacy.

Authors:  Bayard E Lyons; Daniel Austin; Adriana Seelye; Johanna Petersen; Jonathan Yeargers; Thomas Riley; Nicole Sharma; Nora Mattek; Katherine Wild; Hiroko Dodge; Jeffrey A Kaye
Journal:  Front Aging Neurosci       Date:  2015-06-10       Impact factor: 5.750

2.  Discovering Human Activities from Binary Data in Smart Homes.

Authors:  Mohamed Eldib; Wilfried Philips; Hamid Aghajan
Journal:  Sensors (Basel)       Date:  2020-04-29       Impact factor: 3.576

3.  A New Approach for Detecting Sleep Apnea Using a Contactless Bed Sensor: Comparison Study.

Authors:  Ibrahim Sadek; Terry Tan Soon Heng; Edwin Seet; Bessam Abdulrazak
Journal:  J Med Internet Res       Date:  2020-09-18       Impact factor: 5.428

4.  Design and Evaluation of a Solo-Resident Smart Home Testbed for Mobility Pattern Monitoring and Behavioural Assessment.

Authors:  Mohsen Shirali; Jose-Luis Bayo-Monton; Carlos Fernandez-Llatas; Mona Ghassemian; Vicente Traver Salcedo
Journal:  Sensors (Basel)       Date:  2020-12-14       Impact factor: 3.576

5.  Machine learning methods for detecting urinary tract infection and analysing daily living activities in people with dementia.

Authors:  Shirin Enshaeifar; Ahmed Zoha; Severin Skillman; Andreas Markides; Sahr Thomas Acton; Tarek Elsaleh; Mark Kenny; Helen Rostill; Ramin Nilforooshan; Payam Barnaghi
Journal:  PLoS One       Date:  2019-01-15       Impact factor: 3.240

  5 in total

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