AIMC Topic: Actigraphy
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Machine-learning-based calving prediction from activity, lying, and ruminating behaviors in dairy cattle.
Journal of dairy science
May 10, 2017
The objective of this study was to use automated activity, lying, and rumination monitors to characterize prepartum behavior and predict calving in dairy cattle. Data were collected from 20 primiparous and 33 multiparous Holstein dairy cattle from Se...
Application of Machine Learning Approaches for Classifying Sitting Posture Based on Force and Acceleration Sensors.
BioMed research international
Oct 27, 2016
Occupational musculoskeletal disorders, particularly chronic low back pain (LBP), are ubiquitous due to prolonged static sitting or nonergonomic sitting positions. Therefore, the aim of this study was to develop an instrumented chair with force and a...
Therapeutic effects of dog visits in nursing homes for the elderly.
Psychogeriatrics : the official journal of the Japanese Psychogeriatric Society
Oct 29, 2015
BACKGROUND: Previous studies have suggested that visiting dogs can have positive effects on elderly people in nursing homes. We wanted to study the effects of biweekly dog visits on sleep patterns and the psychiatric well-being of elderly people.
3-D Human Action Recognition by Shape Analysis of Motion Trajectories on Riemannian Manifold.
IEEE transactions on cybernetics
Sep 9, 2014
Recognizing human actions in 3-D video sequences is an important open problem that is currently at the heart of many research domains including surveillance, natural interfaces and rehabilitation. However, the design and development of models for act...
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...
Models, Genetic
Electrocardiography, Ambulatory
Humans
Geriatric Assessment
Subtraction Technique
Artificial Intelligence
Activities of Daily Living
Reproducibility of Results
Accelerometry
Transducers
Algorithms
Pattern Recognition, Automated
Aged
Female
Thermography
Sensitivity and Specificity
Actigraphy
Male
Motor Activity
Diagnostic performance of actigraphy in Alzheimer's disease using a machine learning classifier - a cross-sectional memory clinic study.
Alzheimer's research & therapy
May 21, 2025
BACKGROUND: Movement patterns, activity levels and circadian rhythm are altered in Alzheimer's disease (AD) and can be assessed by actigraphy using wearable sensors. We aimed to determine the diagnostic performance of actigraphy in AD in a memory cli...
Sleep efficiency in community-dwelling persons living with dementia: exploratory analysis using machine learning.
Journal of clinical sleep medicine : JCSM : official publication of the American Academy of Sleep Medicine
Feb 1, 2025
STUDY OBJECTIVES: Sleep disturbances lead to negative health outcomes and caregiver burden, particularly in community settings. This study aimed to investigate a predictive model for sleep efficiency and its associated features in older adults living...
Validity of an Integrative Method for Processing Physical Activity Data.
Medicine and science in sports and exercise
Aug 1, 2016
UNLABELLED: Accurate assessments of both physical activity and sedentary behaviors are crucial to understand the health consequences of movement patterns and to track changes over time and in response to interventions.
Automated Tracking and Quantification of Autistic Behavioral Symptoms Using Microsoft Kinect.
Studies in health technology and informatics
Jan 1, 2016
The prevalence of autism spectrum disorder (ASD) has risen significantly in the last ten years, and today, roughly 1 in 68 children has been diagnosed. One hallmark set of symptoms in this disorder are stereotypical motor movements. These repetitive ...
Human Activity Recognition from Smart-Phone Sensor Data using a Multi-Class Ensemble Learning in Home Monitoring.
Studies in health technology and informatics
Jan 1, 2015
Home monitoring of chronically ill or elderly patient can reduce frequent hospitalisations and hence provide improved quality of care at a reduced cost to the community, therefore reducing the burden on the healthcare system. Activity recognition of ...
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