Literature DB >> 31565029

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

Garrett Wilson1, Christopher Pereyda1, Nisha Raghunath1, Gabriel de la Cruz1, Shivam Goel1, Sepehr Nesaei1, Bryan Minor1, Maureen Schmitter-Edgecombe1, Matthew E Taylor1, Diane J Cook1.   

Abstract

Smart environments offer valuable technologies for activity monitoring and health assessment. Here, we describe an integration of robots into smart environments to provide more interactive support of individuals with functional limitations. RAS, our Robot Activity Support system, partners smart environment sensing, object detection and mapping, and robot interaction to detect and assist with activity errors that may occur in everyday settings. We describe the components of the RAS system and demonstrate its use in a smart home testbed. To evaluate the usability of RAS, we also collected and analyzed feedback from participants who received assistance from RAS in a smart home setting as they performed routine activities.

Entities:  

Keywords:  activity learning; robot assistance; smart homes

Year:  2018        PMID： 31565029      PMCID： PMC6764768          DOI： 10.1016/j.cogsys.2018.10.032

Source DB:  PubMed          Journal:  Cogn Syst Res        ISSN： 1389-0417            Impact factor:   3.523


  19 in total

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2.  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

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4.  Automated Cognitive Health Assessment Using Smart Home Monitoring of Complex Tasks.

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Journal:  IEEE Trans Syst Man Cybern Syst       Date:  2013-11       Impact factor: 13.451

5.  Learning Setting-Generalized Activity Models for Smart Spaces.

Authors:  Diane J Cook
Journal:  IEEE Intell Syst       Date:  2010-09-09       Impact factor: 3.405

6.  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

7.  Analyzing Activity Behavior and Movement in a Naturalistic Environment Using Smart Home Techniques.

Authors:  Diane J Cook; Maureen Schmitter-Edgecombe; Prafulla Dawadi
Journal:  IEEE J Biomed Health Inform       Date:  2015-08-06       Impact factor: 5.772

8.  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

9.  Automated assessment of cognitive health using smart home technologies.

Authors:  Prafulla N Dawadi; Diane J Cook; Maureen Schmitter-Edgecombe; Carolyn Parsey
Journal:  Technol Health Care       Date:  2013       Impact factor: 1.285

10.  Characterizing multiple memory deficits and their relation to everyday functioning in individuals with mild cognitive impairment.

Authors:  Maureen Schmitter-Edgecombe; Ellen Woo; David R Greeley
Journal:  Neuropsychology       Date:  2009-03       Impact factor: 3.295
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  4 in total

1.  Assisting Personalized Healthcare of Elderly People: Developing a Rule-Based Virtual Caregiver System Using Mobile Chatbot.

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2.  Learning-Enabled Robotic Assistive Support: Understanding Older Adult Opinions and Comparing Them to Younger Adult Opinions.

Authors:  Nisha Raghunath; Christopher Pereyda; Justin F Frow; Diane Cook; Maureen Schmitter-Edgecombe
Journal:  Gerontechnology       Date:  2020-07-28

3.  Assistive Technology in Multiple Sclerosis Patients-Two Points of View.

Authors:  Agnieszka Korchut; Veronique Petit; Ewelina Szwedo-Brzozowska; Konrad Rejdak
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Review 4.  Innovative Assisted Living Tools, Remote Monitoring Technologies, Artificial Intelligence-Driven Solutions, and Robotic Systems for Aging Societies: Systematic Review.

Authors:  A Hasan Sapci; H Aylin Sapci
Journal:  JMIR Aging       Date:  2019-11-29
  4 in total

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