AIMC Topic: Activities of Daily Living
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Prediction of activity type in preschool children using machine learning techniques.
Journal of science and medicine in sport
Jun 24, 2014
OBJECTIVES: Recent research has shown that machine learning techniques can accurately predict activity classes from accelerometer data in adolescents and adults. The purpose of this study is to develop and test machine learning models for predicting ...
Genetic algorithm-based classifiers fusion for multisensor activity recognition of elderly people.
IEEE journal of biomedical and health informatics
Apr 21, 2014
Activity recognition of an elderly person can be used to provide information and intelligent services to health care professionals, carers, elderly people, and their families so that the elderly people can remain at homes independently. This study in...
Female
Reproducibility of Results
Aged
Sensitivity and Specificity
Transducers
Actigraphy
Humans
Motor Activity
Artificial Intelligence
Activities of Daily Living
Subtraction Technique
Algorithms
Male
Pattern Recognition, Automated
Accelerometry
Models, Genetic
Thermography
Electrocardiography, Ambulatory
Geriatric Assessment
The Attitudes and Perceptions of Older Adults With Mild Cognitive Impairment Toward an Assistive Robot.
Journal of applied gerontology : the official journal of the Southern Gerontological Society
Jan 9, 2014
The purpose of this study was to explore perceived difficulties and needs of older adults with mild cognitive impairment (MCI) and their attitudes toward an assistive robot to develop appropriate robot functionalities. Twenty subjects were recruited ...
Activity recognition in patients with tremor: Integrating time-length windows for enhanced detection.
Computers in biology and medicine
Jul 1, 2025
Pathological tremor significantly impairs daily activities and quality of life, particularly in conditions such as essential tremor and Parkinson's disease. The assessment and evaluation of tremor, along with its evolution with medication dosages, po...
Predicting cognitive function among Chinese community-dwelling older adults: A supervised machine learning approach.
Preventive medicine
Jul 1, 2025
OBJECTIVE: Identifying cognitive impairment early enough could support timely intervention of cognitive impairment and facilitate successful cognitive aging. We aimed to build more precise prediction models for cognitive function using less variable ...
Use of artificial intelligence to support quality of life of people with dementia: A scoping review.
Ageing research reviews
Jun 1, 2025
BACKGROUND: Dementia has an impact on the quality of life (QoL) of people with dementia. Tailored services are crucial for improving their QoL. Advances in artificial intelligence (AI) offer opportunities for personalised care, potentially delaying i...
Navigating autonomy, privacy, and ageism in robot home care with aged users: A preliminary analysis of ROB-IN.
Bioethics
Jun 1, 2025
In this article, I propose an ethical analysis of assistive domestic robots for older users. In doing so, I illustrate my inquiry with the example of ROB-IN assistive robot. ROB-IN is a Spanish project which is devoted to developing a robot that will...
Predicting cognitive frailty in community-dwelling older adults: a machine learning approach based on multidomain risk factors.
Scientific reports
May 26, 2025
Cognitive frailty (CF), a clinical syndrome involving both physical frailty (PF) and impaired cognition (IC), is associated with adverse health outcomes in older adults. This study aimed to identify key predictors of CF and develop a machine learning...
Identification of needs for an assistive robotic arm in individuals with tetraplegia: a mixed-methods approach.
Journal of neuroengineering and rehabilitation
May 20, 2025
BACKGROUND: A severe spinal cord injury (SCI) can profoundly affect an individual's physical abilities and social independence. For individuals living with tetraplegia, an assistive robotic arm offers the potential to restore some autonomy and reduce...
Advanced smart assistance with enhancing social interaction and daily activities for visually impaired individuals using deep learning with modified seagull optimization.
Scientific reports
May 13, 2025
Visually impaired individuals face daily challenges in social engagement and routine activities due to limited access to real-time environmental information. Damage detection is a common approach in infrastructure that combines steel and concrete rei...
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