A review on video-based active and assisted living technologies for automated lifelogging

Climent-Pérez, Pau; Spinsante, Susanna; Mihailidis, Alex; Flórez-Revuelta, Francisco

doi:10.1016/j.eswa.2019.112847

Cited by 49 publications

(38 citation statements)

References 93 publications

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“…Other factors refer to the way societies treat their older adults (9), the economic considerations in the health care supply (5), the cultural and societal norms of aging care in different countries (10), as well as the viewpoints of the older society members themselves. While the variety and availability of assistive devices daily supporting older adults have continuously grown (11)(12)(13), older adults' opinions on assistive technologies and attitudes toward aging and care remain underexplored. This article addresses two perspectives: (1) the geriatric perspective that considers elderly individuals and their medical care demands, and (2) the social science perspective that explores the attitudes and perceptions of adults aged 60 years and older regarding (a) aging, (b) nursing care, as well as (c) the acceptance and adoption of health-related assistive technologies in general and related to specific applications.…”

Section: Introductionmentioning

confidence: 99%

Insights Into the Older Adults' World: Concepts of Aging, Care, and Using Assistive Technology in Late Adulthood

Wilkowska

Heek

Laurentius

et al. 2021

Front. Public Health

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The ongoing demographic change forces different stakeholders to cope with increasing needs in nursing care and the economic costs. Consequences arising from the population aging can be supported by assistive technologies to maintain older individuals' autonomy. However, older adults' opinions on the assistance of health-related technologies and their attitudes toward aging and care largely remain underexplored. This paper provides a geriatric and socio-technical perspective, investigating individual perceptions of (a) aging, (b) nursing care, and (c) the adoption of assistive technologies in a cross-national subject group. For this purpose, N = 384 individuals (60+ years) participated in an online survey. Findings indicate that most older adults are open to assistive technologies and that individual care preferences contribute to a successful adoption of these technologies. Among individual factors, health status, and gender affect respondents' opinions the most. Our findings help to understand older adults' acceptance of assistive technologies and contribute to the research on the nursing care in private and professional environments.

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Section: Introductionmentioning

confidence: 99%

Insights Into the Older Adults' World: Concepts of Aging, Care, and Using Assistive Technology in Late Adulthood

Wilkowska

Heek

Laurentius

et al. 2021

Front. Public Health

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“…Any information collected from the smartphone app will be kept strictly confidential and will be the minimum required by the study. For video data collected from the cognitive-psychological-linguistic and behavioral assessments, we will adopt a number of privacy protection techniques, such as body masking, face blurring, and cartooning, for deidentification, while preserving the key information (such as eye/head movements) (Climent-Perez et al 2020;Haque et al 2020). In the unlikely event of data leakage, no personal information will be associated with the data, and no individual participants can be re-identified from the data.…”

Section: Data Consent Security and Privacymentioning

confidence: 99%

Editorial: Designing a Protocol Adopting an Artificial Intelligence (AI)–Driven Approach for Early Diagnosis of Late-Onset Alzheimer’s Disease

Lam

Han

et al. 2021

J Mol Neurosci

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Literature ReviewDementia is a progressive and devastating disease characterized by the gradual loss of cognitive function. Dementia affects an individual's quality of life and increases a society's burden of care. The risk of developing dementia increases with age. As of 2020, 41.27 M people across the world suffer from AD (9.5 M in China and 0.16 M in Israel). The latest prevalence study found that about 10% of older adults in Hong Kong suffered from dementia (Lam et al. 2008), predicting that the number of local populations suffering from dementia may triple from 100,000 in 2009 to over 300,000 in 2039 (Yu et al. 2012). Neurodegeneration is the main outcome of dementia, of which Alzheimer's disease (AD) is the most prevalent form and a leading cause of mortality across the elderly. Unfortunately, the underlying pathogenesis and mechanism of most neurodegenerative diseases remain poorly understood. To date, diagnosis of neurodegenerative diseases prior to clinical manifestation remains challenging. While a number of cognitive, behavioral, and neuroimaging

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“…Although there are advantages in the long term to starting with a clinician-led study (as above), the patient's experience of the system has not been measured in this present study and remains an important topic for future investigation. This would include the security concerns that surround sharing video data recorded at home (Climent-Pérez et al, 2019). Once these issues have been addressed, studies can investigate the impact on patient progress or efficiency savings during a real programme of physical therapy.…”

Section: Limitations Of the Studymentioning

confidence: 99%

The development of a video retrieval system using a clinician-led approach

Darby

Sánchez

Bew

et al. 2020

Expert Systems with Applications

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Patient video taken at home can provide valuable insights into the recovery progress during a programme of physical therapy, but is very time consuming for clinician review. Our work focussed on i) enabling any patient to share information about progress at home, simply by sharing video and ii) building intelligent systems to support Physical Therapists (PTs) in reviewing this video data and extracting the necessary detail. This paper reports the development of the system, appropriate for future clinical use without reliance on a technical team, and the clinician involvement in that development. We contribute an interactive contentbased video retrieval system that significantly reduces the time taken for clinicians to review videos, using human head movement as an example. The system supports query-by-movement (clinicians move their own body to define search queries) and retrieves the essential fine-grained movements needed for clinical interpretation. This is done by comparing sequences of image-based pose estimates (here head rotations) through a distance metric (here Fréchet distance) and presenting a ranked list of similar movements to clinicians for review. In contrast to existing intelligent systems for retrospective review of human movement, the system supports a flexible analysis where clinicians can look for any movement that interests them. Evaluation by a group of PTs with expertise in training movement control showed that 96% of all relevant movements were identified with time savings of as much as 99.1% compared to reviewing target videos in full. The novelty of this contribution includes retrospective progress monitoring that preserves context through video, and content-based video retrieval that supports both fine-grained human actions and queryby-movement. Future research, including large clinician-led studies, will refine the technical aspects and explore the benefits in terms of patient outcomes, PT time, and financial savings over the course of a programme of therapy. It is anticipated that this clinician-led approach will mitigate the reported slow clinical uptake of technology with resulting patient benefit.

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A review on video-based active and assisted living technologies for automated lifelogging

Abstract: A review on video-based active and assisted living technologies for automated lifelogging,

Cited by 49 publications

References 93 publications

Insights Into the Older Adults' World: Concepts of Aging, Care, and Using Assistive Technology in Late Adulthood

Insights Into the Older Adults' World: Concepts of Aging, Care, and Using Assistive Technology in Late Adulthood

Editorial: Designing a Protocol Adopting an Artificial Intelligence (AI)–Driven Approach for Early Diagnosis of Late-Onset Alzheimer’s Disease

The development of a video retrieval system using a clinician-led approach

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