Literature DB >> 24415794

CASAS: A Smart Home in a Box.

Diane J Cook1, Aaron S Crandall1, Brian L Thomas1, Narayanan C Krishnan1.   

Abstract

While the potential benefits of smart home technology are widely recognized, a lightweight design is needed for the benefits to be realized at a large scale. We introduce the CASAS "smart home in a box", a lightweight smart home design that is easy to install and provides smart home capabilities out of the box with no customization or training. We discuss types of data analysis that have been performed by the CASAS group and can be pursued in the future by using this approach to designing and implementing smart home technologies.

Entities:  

Keywords:  activity discovery; activity recognition; machine learning; pervasive computing; smart home

Year:  2013        PMID： 24415794      PMCID： PMC3886862          DOI： 10.1109/MC.2012.328

Source DB:  PubMed          Journal:  Computer (Long Beach Calif)        ISSN： 0018-9162            Impact factor:   2.683


  2 in total

1.  User-adaptive reminders for home-based medical tasks. A case study.

Authors:  P Kaushik; S S Intille; K Larson
Journal:  Methods Inf Med       Date:  2008       Impact factor: 2.176

2.  Activity discovery and activity recognition: a new partnership.

Authors:  Diane J Cook; Narayanan C Krishnan; Parisa Rashidi
Journal:  IEEE Trans Cybern       Date:  2012-09-27       Impact factor: 11.448
  2 in total
  51 in total

1.  Automated Cognitive Health Assessment From Smart Home-Based Behavior Data.

Authors:  Prafulla Nath Dawadi; Diane Joyce Cook; Maureen Schmitter-Edgecombe
Journal:  IEEE J Biomed Health Inform       Date:  2015-08-17       Impact factor: 5.772

Review 2.  The Elderly's Independent Living in Smart Homes: A Characterization of Activities and Sensing Infrastructure Survey to Facilitate Services Development.

Authors:  Qin Ni; Ana Belén García Hernando; Iván Pau de la Cruz
Journal:  Sensors (Basel)       Date:  2015-05-14       Impact factor: 3.576

3.  Robot-Enabled Support of Daily Activities in Smart Home Environments.

Authors:  Garrett Wilson; Christopher Pereyda; Nisha Raghunath; Gabriel de la Cruz; Shivam Goel; Sepehr Nesaei; Bryan Minor; Maureen Schmitter-Edgecombe; Matthew E Taylor; Diane J Cook
Journal:  Cogn Syst Res       Date:  2018-11-15       Impact factor: 3.523

4.  One-Class Classification-Based Real-Time Activity Error Detection in Smart Homes.

Authors:  Barnan Das; Diane J Cook; Narayanan C Krishnan; Maureen Schmitter-Edgecombe
Journal:  IEEE J Sel Top Signal Process       Date:  2016-02-29       Impact factor: 6.856

5.  Smart home in a box: usability study for a large scale self-installation of smart home technologies.

Authors:  Yang Hu; Dominique Tilke; Taylor Adams; Aaron S Crandall; Diane J Cook; Maureen Schmitter-Edgecombe
Journal:  J Reliab Intell Environ       Date:  2016-06-18

6.  Mining the Home Environment.

Authors:  Diane J Cook; Narayanan Krishnan
Journal:  J Intell Inf Syst       Date:  2014-12       Impact factor: 1.888

7.  Indirectly-Supervised Anomaly Detection of Clinically-Meaningful Health Events from Smart Home Data.

Authors:  Jessamyn Dahmen; Diane J Cook
Journal:  ACM Trans Intell Syst Technol       Date:  2021-02-11       Impact factor: 4.654

8.  A Genetic Algorithm Approach to Motion Sensor Placement in Smart Environments.

Authors:  Brian L Thomas; Aaron S Crandall; Diane J Cook
Journal:  J Reliab Intell Environ       Date:  2015-12-08

9.  Modeling Patterns of Activities using Activity Curves.

Authors:  Prafulla N Dawadi; Diane J Cook; Maureen Schmitter-Edgecombe
Journal:  Pervasive Mob Comput       Date:  2016-06       Impact factor: 3.453

10.  A conceptual framework for clinicians working with artificial intelligence and health-assistive Smart Homes.

Authors:  Gordana Dermody; Roschelle Fritz
Journal:  Nurs Inq       Date:  2018-11-12       Impact factor: 2.393
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