Literature DB >> 21558632

The future of intelligent assistive technologies for cognition: devices under development to support independent living and aging-with-choice.

Jennifer Boger1, Alex Mihailidis.   

Abstract

A person's ability to be independent is dependent on his or her overall health, mobility, and ability to complete activities of daily living. Intelligent assistive technologies (IATs) are devices that incorporate context into their decision-making process, which enables them to provide customised and dynamic assistance in an appropriate manner. IATs have tremendous potential to support people with cognitive impairments as they can be used to support many facets of well-being; from augmenting memory and decision making tasks to providing autonomous and early detection of possible changes in health. This paper presents IATs that are currently in development in the research community to support tasks that can be impacted by compromised cognition. While they are not yet ready for the general public, these devices showcase the capabilities of technologies one can expect to see in the consumer marketplace in the near future.

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Mesh:

Year:  2011        PMID: 21558632     DOI: 10.3233/NRE-2011-0655

Source DB:  PubMed          Journal:  NeuroRehabilitation        ISSN: 1053-8135            Impact factor:   2.138


  8 in total

1.  Subjective cognitive complaints and objective memory performance influence prompt preference for instrumental activities of daily living.

Authors:  Emily J Van Etten; Alyssa Weakley; Maureen Schmitter-Edgecombe; Diane Cook
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2.  Prompting technologies: A comparison of time-based and context-aware transition-based prompting.

Authors:  Kayela Robertson; Cody Rosasco; Kyle Feuz; Maureen Schmitter-Edgecombe; Diane Cook
Journal:  Technol Health Care       Date:  2015       Impact factor: 1.285

3.  Co-Designing Ambient Assisted Living (AAL) Environments: Unravelling the Situated Context of Informal Dementia Care.

Authors:  Amy S Hwang; Khai N Truong; Jill I Cameron; Eva Lindqvist; Louise Nygård; Alex Mihailidis
Journal:  Biomed Res Int       Date:  2015-06-16       Impact factor: 3.411

4.  How to Improve the Public Trust of the Intelligent Aging Community: An Empirical Study Based on the ACSI Model.

Authors:  Tuochen Li; Siran Wang
Journal:  Int J Environ Res Public Health       Date:  2021-02-18       Impact factor: 3.390

5.  A Mixed Reality Cognitive Orthosis to Support Older Adults in Achieving Their Daily Living Activities: Focus Group Study With Clinical Experts.

Authors:  Amel Yaddaden; Guillaume Spalla; Charles Gouin-Vallerand; Patricia Briskie-Semeniuk; Nathalie Bier
Journal:  JMIR Rehabil Assist Technol       Date:  2022-07-20

6.  Learning Activity Predictors from Sensor Data: Algorithms, Evaluation, and Applications.

Authors:  Bryan Minor; Janardhan Rao Doppa; Diane J Cook
Journal:  IEEE Trans Knowl Data Eng       Date:  2017-09-11       Impact factor: 6.977

7.  Automated Detection of Activity Transitions for Prompting.

Authors:  Kyle D Feuz; Diane J Cook; Cody Rosasco; Kayela Robertson; Maureen Schmitter-Edgecombe
Journal:  IEEE Trans Hum Mach Syst       Date:  2014-11-06       Impact factor: 2.968

8.  How older adults with mild cognitive impairment relate to technology as part of present and future everyday life: a qualitative study.

Authors:  Annicka Hedman; Eva Lindqvist; Louise Nygård
Journal:  BMC Geriatr       Date:  2016-03-31       Impact factor: 3.921

  8 in total

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