AIMC Topic: Activities of Daily Living
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Towards the automatic detection of activities of daily living using eye-movement and accelerometer data with neural networks.
Computers in biology and medicine
Jan 1, 2025
Early diagnosis of neurodegenerative diseases, such as Alzheimer's disease, improves treatment and care outcomes for patients. Early signs of cognitive decline can be detected using functional scales, which are written records completed by a clinicia...
Assessing Locomotive Syndrome Through Instrumented Five-Time Sit-to-Stand Test and Machine Learning.
Sensors (Basel, Switzerland)
Dec 3, 2024
Locomotive syndrome (LS) refers to a condition where individuals face challenges in performing activities of daily living. Early detection of such deterioration is crucial to reduce the need for nursing care. The Geriatric Locomotive Function Scale (...
Activities of Daily Living Object Dataset: Advancing Assistive Robotic Manipulation with a Tailored Dataset.
Sensors (Basel, Switzerland)
Nov 27, 2024
The increasing number of individuals with disabilities-over 61 million adults in the United States alone-underscores the urgent need for technologies that enhance autonomy and independence. Among these individuals, millions rely on wheelchairs and of...
Machine learning insights on activities of daily living disorders in Chinese older adults.
Experimental gerontology
Nov 26, 2024
OBJECTIVE: This study on the aged population in China first used a large-scale longitudinal survey database to explore how different life factors affect their ability to engage in daily activities. We select and integrate multiple machine models to o...
Social Robots and Sensors for Enhanced Aging at Home: Mixed Methods Study With a Focus on Mobility and Socioeconomic Factors.
JMIR aging
Nov 25, 2024
BACKGROUND: Population aging affects society, with a profound impact on daily activities for those of a low socioeconomic status and with motor impairments. Social assistive robots (SARs) and monitoring technologies can improve older adults' well-bei...
Predicting frailty in older patients with chronic pain using explainable machine learning: A cross-sectional study.
Geriatric nursing (New York, N.Y.)
Nov 8, 2024
Frailty is common among older adults with chronic pain, and early identification is crucial in preventing adverse outcomes like falls, disability, and dementia. However, effective tools for identifying frailty in this population remain limited. This ...
Wearable-Enabled Algorithms for the Estimation of Parkinson's Symptoms Evaluated in a Continuous Home Monitoring Setting Using Inertial Sensors.
IEEE transactions on neural systems and rehabilitation engineering : a publication of the IEEE Engineering in Medicine and Biology Society
Oct 29, 2024
Motor symptoms such as tremor and bradykinesia can develop concurrently in Parkinson's disease; thus, the ideal home monitoring system should be capable of tracking symptoms continuously despite background noise from daily activities. The goal of thi...
Tremor
Male
Monitoring, Ambulatory
Dyskinesias
Accelerometry
Female
Middle Aged
Equipment Design
Humans
Hypokinesia
Reproducibility of Results
Wearable Electronic Devices
Feasibility Studies
Machine Learning
Aged
Parkinson Disease
Algorithms
Sensitivity and Specificity
Activities of Daily Living
Video Recording
Exploring key factors influencing depressive symptoms among middle-aged and elderly adult population: A machine learning-based method.
Archives of gerontology and geriatrics
Oct 2, 2024
OBJECTIVE: This paper aims to investigate the key factors, including demographics, socioeconomics, physical well-being, lifestyle, daily activities and loneliness that can impact depressive symptoms in the middle-aged and elderly population using mac...
Generisch-Net: A Generic Deep Model for Analyzing Human Motion with Wearable Sensors in the Internet of Health Things.
Sensors (Basel, Switzerland)
Sep 24, 2024
The Internet of Health Things (IoHT) is a broader version of the Internet of Things. The main goal is to intervene autonomously from geographically diverse regions and provide low-cost preventative or active healthcare treatments. Smart wearable IMUs...
Transparent RFID tag wall enabled by artificial intelligence for assisted living.
Scientific reports
Sep 16, 2024
Current approaches to activity-assisted living (AAL) are complex, expensive, and intrusive, which reduces their practicality and end user acceptance. However, emerging technologies such as artificial intelligence and wireless communications offer new...
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