scholarly journals Technology is the New Normal for Individuals Aging-In-Place With Disabilities

2021 ◽  
Vol 5 (Supplement_1) ◽  
pp. 425-425
Author(s):  
Travis Kadylak ◽  
Susy Stark
Keyword(s):  
Older Adults ◽  
Independent Living ◽  
Tai Chi ◽  
Exercise Intervention ◽  
Interdisciplinary Collaboration ◽  
Aging In Place ◽  
Sensor Data ◽  
Engineering Research ◽  
Solution Strategies

Abstract Technology designers often exclude individuals aging with diverse needs, capabilities, and disabilities from engaging in the design process, which can hinder the usability and usefulness of emerging technologies. In this symposium, investigators report on research and development efforts aimed at understanding the needs of, and developing supportive technologies for, people aging with long-term disabilities. This symposium features projects from the Rehabilitation Engineering Research Center on Technologies to Support Aging-in-Place for People with Long-Term Disabilities (RERC TechSAge), which is an interdisciplinary collaboration between Georgia Tech and the University of Illinois at Urbana-Champaign. First, Bayles et al. will discuss findings from the Aging Concerns, Challenges, and Everyday Solution Strategies II study, focused on Deaf older adults’ use of technologies as solution strategies for common everyday challenges. Next, Mitzner et al. will highlight the development of an evidence-based group exercise intervention (Tellewellness Tai Chi for Arthritis) aimed at promoting both physical exercise and social interaction for older adults with long-term mobility disabilities. Kadylak et al. will describe how voice-activated digital assistants can support older adults aging with mobility disabilities by reporting on findings from a longitudinal demonstration project with older adults in assisted and independent living communities. Exploring the potential for smartbathroom technology to promote aging in place, Sanford et al. will discuss how smartbathroom sensor data can be analyzed and vizualized to identify ways to communicate insight from sensor data to improve training of occupational therapy practitioners. Susy Stark from Washington University will serve as the discussant for the symposium.

scholarly journals UTILIZING TECHNOLOGY NETWORKS TO SUPPORT SOCIAL NETWORKS FOR PEOPLE AGING WITH DISABILITY

2019 ◽  
Vol 3 (Supplement_1) ◽  
pp. S758-S759
Author(s):  
Elena T Remillard ◽  
Wendy Rogers ◽  
Sarah Ruiz
Keyword(s):  
Older Adults ◽  
Successful Aging ◽  
Independent Living ◽  
Large Scale ◽  
Tai Chi ◽  
New Technologies ◽  
Great Promise ◽  
Ongoing Research ◽  
Engineering Research

Abstract A growing number of new smart, internet-enabled technologies from smart phone applications, to teleconferencing, to the Internet of Things (IoT), provide great promise and potential to support successful aging-in-place for people with long-term disabilities. This symposium highlights ongoing research at the TechSAge Rehabilitation Engineering Research Center to identify technology needs and develop/adapt new technologies to promote independence, health, and participation of this population. To understand user needs, Harris et al. will present findings from a large-scale interview study with older adults with long-term vision and mobility disabilities (N=120) that explored specific task-based challenges with community activities (e.g., going to entertainment events, volunteering) as well as solutions and strategies to overcome them. Koon et al. will present findings on perceived facilitators and barriers to using digital assistants (e.g., Amazon Alexa) to facilitate a variety of everyday tasks at home, from shopping to communicating with others, among adults aging with mobility disabilities. Levy et al. will discuss findings from research driving the creation of augmented reality tools that can enable individuals to experience how IoT devices, such as smart thermostats and lightbulbs, could be used within the context of one’s own abilities and home. Mitzner et al., will describe the development of a Tele Tai Chi intervention for older adults with long-term mobility disabilities that employs teleconferencing software to translate an in-person, evidence-based class to an online, social experience. TechSAge Program Officer, Sarah Ruiz (National Institute on Disability, Independent Living, and Rehabilitation Research), will serve as the discussant.

scholarly journals Using Inclusive Design to Develop a Tele–Tai Chi Intervention for Older Adults With Long-Term Mobility Disability

2020 ◽  
Vol 4 (Supplement_1) ◽  
pp. 599-600
Author(s):  
Tracy Mitzner ◽  
Elena Remillard ◽  
Kara Cohen ◽  
Jordan Chen
Keyword(s):  
Older Adults ◽  
Tai Chi ◽  
Target Population ◽  
Evidence Based ◽  
Exercise Interventions ◽  
Software Developer ◽  
Master Trainer ◽  
Evidence Based Programs ◽  
To Receive

Abstract Tele-technologies may be able to increase access to evidence-based exercise interventions for adults aging with long-term mobility disabilities. This population experiences substantial barriers in attending such programs in person, including lack of transportation to classes, inaccessible buildings where classes are held, and lack of appropriate modifications offered for this population of older adults. It is critical to overcome such barriers to ensure this population has an opportunity to receive the benefits of evidence-based programs. In this study we are translating an in-person evidence-based tai chi intervention, Tai Chi for Arthritis, to an online platform using videoconferencing software for those aging with long-term mobility disabilities. We will describe our approach of including users from the target population and industry representatives (videoconferencing software developer, Tai Chi for Arthritis program developer as well as local master trainer) in the adaptation of the intervention and present the key findings from doing so.

scholarly journals Identification of Research Trends in Aging in Place Using Text Mining Analysis

2020 ◽  
Vol 4 (Supplement_1) ◽  
pp. 50-50
Author(s):  
Ha Neul Kim ◽  
Seok In Nam
Keyword(s):  
Quality Of Life ◽  
Older Adults ◽  
Text Mining ◽  
Independent Living ◽  
Daily Life ◽  
Aging In Place ◽  
Research Trends ◽  
Life Activity ◽  
Daily Life Activity

Abstract Since 1980s professionals and social service providers have focused on aging at the place where people lived. This is the initial concept of the Aging in Place (AIP). Over 40 years, the topics have developed and extended to other disciplines welcoming different perspectives in the study of AIP. Therefore, this study aims to understand the overall research trends in Aging in Place (AIP) studies using text mining analysis to track the evolvement of AIP subtopics not only in Gerontology but also in various fields. To identify the topic trends, we collected the titles, abstracts, and keywords from 1,372 international articles that were published from 1981 to 2019. Then, keywords were extracted and cleaned based on precedent literature and discussions. We analyzed the keywords based on the degree of centrality and visualized the keyword-networks using VOSviewer and Pajek. Top-most popular keywords are “independent living”, “housing”, “older adults”, “home care”, “daily life activity” and “quality of life.” The change in topic trends shows that in the 1980s to early-2000s, research focused on organization and management level of intervention, home(housing) for the older adults, long term care. In the mid-2010s, health-related topics such as daily life activity, health service, health care delivery and quality of life have emerged. Recently, the topics have extended further to technology, caregiver, well-being, and environment design, environmental planning that support independent living of oneself. The research result shows that the interdisciplinary approach regarding AIP is not only inevitable but also encouraged for an in-depth discussion of the field.

An Ambient Assisted Living platform for supporting aging in place of pre-frail and frail older adults: Rationale, HomeAssist plaform, quasi-experimental design, and baseline characteristics. (Preprint)

2021 ◽  
Author(s):  
helene sauzeon ◽  
Arlette Edjolo ◽  
Hélène Amieva ◽  
Charles Consel ◽  
Karine Pérès
Keyword(s):  
Older Adults ◽  
Assisted Living ◽  
Independent Living ◽  
Aging In Place ◽  
Ambient Assisted Living ◽  
Large Set ◽  
Everyday Functioning ◽  
Frail Older Adults ◽  
Outcomes Measures ◽  
Quasi Experimental

UNSTRUCTURED Background: Ambient Assisted Living (AAL) technology is expected as a promising way for prolonging the aging in place. Very few evidence-based results are provided support to its real value, notably for frail older adults who have high risk of autonomy loss and of entering in nursing home. Objective: HomeAssist (HA) is a human-centered AAL platform offering a large set of applications for three main age-related need domains (Activities of Daily Living, Safety and Social participation), relying on a basic set of entities (sensors, actuators...). The HA intervention involves monitoring as well as assistive services to support independent living at home. The primary outcomes measures are related to aging in place in terms of effectiveness (institutionalization and hospitalization rates) and efficiency (everyday functioning indices). Secondary outcomes measures include indices of frailty, cognitive functioning, and psychosocial health of participants and their caregivers. Every 6 months, user experience and attitudes towards HA are also collected in equipped participants. Concomitantly, HA usages are collected. Methods: A study assessing the HA efficacy has been designed and is now conducted with 131 older adults aged 81.9 (±6.0) years (from autonomous to frail) who lived alone. The study design is quasi-experimental with a duration of 12 months optionally extensible to 24 months. It includes equipped participants, matched with non-equipped participants (n= 474). Follow-up assessments occurred at 0, 12 and 24 months. Results: The expected results are to inform the AAL value for independent living, but also to yield informed analysis on AAL usages and adoption in frail older individuals.

Early Illness Recognition Using In-home Monitoring Sensors and Multiple Instance Learning

2012 ◽  
Vol 51 (04) ◽  
pp. 359-367 ◽  
Author(s):  
A. Mahnot ◽  
M. Popescu
Keyword(s):  
Older Adults ◽  
Independent Living ◽  
Characteristic Curve ◽  
Home Monitoring ◽  
Receiver Operator Characteristic Curve ◽  
Multiple Instance Learning ◽  
Sensor Data ◽  
Abnormal Behavior ◽  
Cognitive Changes ◽  
Peace Of Mind

SummaryBackground: Many older adults in the US prefer to live independently for as long as they are able, despite the onset of conditions such as frailty and dementia. Solutions are needed to enable independent living, while enhancing safety and peace of mind for their families. Elderly patients are particularly at-risk for late assessment of cognitive changes.Objectives: We predict early signs of illness in older adults by using the data generated by a continuous, unobtrusive nursing home monitoring system.Methods: We describe the possibility of employing a multiple instance learning (MIL) framework for early illness detection. The MIL framework is suitable for training classifiers when the available data presents temporal or location uncertainties.Results: We provide experiments on three datasets that prove the utility of the MIL framework. We first tuned our algorithms on a set of 200 normal/abnormal behavior patterns produced by a dedicated simulator. We then conducted two retrospective studies on residents from the Tiger Place aging in place facility, aged over 70, which have been monitored with motion and bed sensors for over two years. The presence or absence of the illness was manually assessed based on the nursing visit reports.Conclusions: The use of simulated sensor data proved to be very useful for algorithm development and testing. The results obtained using MIL for six Tiger Place residents, an average area under the receiver operator characteristic curve (AROC) of 0.7, are promising. However, more sophisticated MIL classifiers are needed to improve the performance.

scholarly journals Long-Term Maintenance of Physical Function in Older Adults Following a DVD-Delivered Exercise Intervention

2017 ◽  
Vol 25 (1) ◽  
pp. 27-31 ◽  
Author(s):  
Sarah Roberts ◽  
Elizabeth Awick ◽  
Jason T. Fanning ◽  
Diane Ehlers ◽  
Robert W. Motl ◽  
...  
Keyword(s):  
Older Adults ◽  
Physical Function ◽  
Exercise Intervention ◽  
Term Maintenance

scholarly journals Delivering a Tai Chi Intervention to Adults Aging with Mobility Disabilities Using Zoom

2021 ◽  
Vol 5 (Supplement_1) ◽  
pp. 425-425
Author(s):  
Elena Remillard ◽  
Kara Cohen ◽  
Lelah Cochran ◽  
Tracy Mitzner
Keyword(s):  
Mental Health ◽  
Older Adults ◽  
Tai Chi ◽  
Lessons Learned ◽  
Evidence Based ◽  
Physical And Mental Health ◽  
Virtual Group ◽  
Exercise Classes ◽  
Made In

Abstract Many individuals aging with mobility disabilities experience barriers to participating in physical activity, including transportation challenges and the need for specialized instruction. Since the COVID-19 pandemic began, these participation barriers have been amplified due to lockdowns and restrictions. Tele-technologies, including videoconferencing platforms like Zoom, can facilitate access to exercise classes from one’s home. Virtual group exercise classes that incorporate social interaction have particular potential to support the physical and mental health of this population. This session will highlight lessons learned from launching the ‘Tele Tai Chi’ study, in which we are delivering an evidence-based Tai Chi program (Tai Chi for Arthritis) via Zoom to small group classes of older adults with long-term mobility disabilities. We will describe adaptations made in translating the in-person program to an interactive, online class, and provide an overview of a ‘Telewellness’ Tool that provides guidelines for using Zoom to deliver exercise classes to older adults.

scholarly journals Determining Whether Tai Chi Chuan is Related to the Updating Function in Older Adults: Differences Between Experts and Novices

2021 ◽  
Author(s):  
Yuan Yang ◽  
Tingting Chen ◽  
Xiaoxia Yuan ◽  
Xiaoke Zhong ◽  
Shoufu Yan ◽  
...  
Keyword(s):  
Older Adults ◽  
Tai Chi ◽  
The Elderly ◽  
Elderly Subjects ◽  
Cross Sectional ◽  
Tai Chi Chuan ◽  
Novice Group ◽  
Healthy Elderly ◽  
Back Task

Abstract Background: Tai Chi Chuan (TCC) is one effective method used to delay cognitive decline in older adults. However, the relationship between the long-term practice of TCC and the crucial working memory updating function of the brain in the elderly has not been comprehensively researched.Objective: This cross-sectional study explores how behavioral performance in a laboratory setting is related to long term practice of TCC on the updating function in older people using reaction times (RTs) of N-back tasks. Methods: 26 healthy elderly people participated in this experiment. According to the length of time TCC was practiced, 13 subjects in the TCC group had more than 5 years’ experience of TCC exercise, and 13 elderly subjects who had not been systematically exposed to mind-body exercise were assigned to the novice group. The N-back task was administered to every participant to evaluate the updating function. Results: The TCC group had faster RTs compared to the novice group (p<0.05); For the 1-back task, the TCC group showed faster RTs than the novice group. For the 2-back task, the novice group exhibited faster RTs than the TCC group. Conclusions: TCC experts exhibit greater updating function as compared to TCC novices. Long-term TCC appears to be positive associated with the updating function of older adults, making it an effective exercise to maintain cognitive function in the elderly.

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