AIMC Topic: Accelerometry
Clear Filters Showing 211 to 220 of 261 articles
Flying over uneven moving terrain based on optic-flow cues without any need for reference frames or accelerometers.
Bioinspiration & biomimetics
Feb 26, 2015
Two bio-inspired guidance principles involving no reference frame are presented here and were implemented in a rotorcraft, which was equipped with panoramic optic flow (OF) sensors but (as in flying insects) no accelerometer. To test these two guidan...
Human Joint Angle Estimation with Inertial Sensors and Validation with A Robot Arm.
IEEE transactions on bio-medical engineering
Feb 12, 2015
Traditionally, human movement has been captured primarily by motion capture systems. These systems are costly, require fixed cameras in a controlled environment, and suffer from occlusion. Recently, the availability of low-cost wearable inertial sens...
Fuzzy logic for characterizing the moderate intensity of physical activity in children.
Journal of science and medicine in sport
Jan 20, 2015
OBJECTIVES: The aim of this study was to better characterize the moderate intensity of PA among children by applying fuzzy logic as the most appropriate analytical approach. In this perspective, the 6-MWT was selected as a pertinent exercise modality...
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...
Actigraphy
Motor Activity
Reproducibility of Results
Aged
Activities of Daily Living
Humans
Subtraction Technique
Sensitivity and Specificity
Models, Genetic
Pattern Recognition, Automated
Artificial Intelligence
Transducers
Male
Electrocardiography, Ambulatory
Accelerometry
Algorithms
Geriatric Assessment
Thermography
Female
Nonlinear Associations of Accelerometer-Based Sedentary Time With Cognitive Functions in the UK Biobank.
The journals of gerontology. Series B, Psychological sciences and social sciences
Jun 10, 2025
OBJECTIVES: Device-based sedentary time shows a nonlinear association with incident dementia among older adults. However, associations between sedentary time and cognitive performance have been inconsistent. We examined potential nonlinear associatio...
Explainable machine learning for movement disorders - Classification of tremor and myoclonus.
Computers in biology and medicine
Jun 1, 2025
BACKGROUND: Treatment for essential tremor (ET) and cortical myoclonus (CM) differs. As their clinical distinction can be difficult, with large inter- and intra-observer variability, there is a need for additional diagnostic tools.
Exploring equine behavior: Wearable sensors data and explainable AI for enhanced classification.
Journal of equine veterinary science
Jun 1, 2025
Understanding equine behavior through advanced monitoring technologies is crucial for improving animal welfare, optimizing training strategies, and enabling early detection of health or stress-related issues. This study integrates wearable sensor dat...
Deep neural network valve detection for accelerometer based cardiac monitoring.
Scientific reports
May 20, 2025
Miniaturized accelerometers incorporated in pacing leads attached directly onto the heart provide a means for continuous monitoring of cardiac function. Several functional accelerometer indices first require detection of valve events. We previously d...
Personalized prediction of negative affect in individuals with serious mental illness followed using long-term multimodal mobile phenotyping.
Translational psychiatry
May 19, 2025
Heightened negative affect is a core feature of serious mental illness. Over 90% of American adults own a smartphone, equipped with an array of sensors which can continuously and unobtrusively measure behaviors (e.g., activity levels, location, and p...
Stay Ahead of Medical AI
Join thousands of healthcare professionals staying informed about the latest AI breakthroughs in medicine. Get curated insights delivered to your inbox.
Subscribe NowPopular Topics
- Machine Learning 31032
- Neural Networks, Computer 29717
- Algorithms 26831
- Deep Learning 26345
- Artificial Intelligence 24290
- Robotics 13311
- Image Processing, Computer-Assisted 9521
- Retrospective Studies 9110
- Magnetic Resonance Imaging 6181
- Reproducibility of Results 5592
- Tomography, X-Ray Computed 4770
- Support Vector Machine 4686
- Computational Biology 4236
- Brain 4050
- Computer Simulation 3881
Recent Journals
- Scientific reports 5940
- Sensors (Basel, Switzerland) 4794
- PloS one 4015
- Neural networks : the official journal of the International Neural Network Society 2929
- Computational intelligence and neuroscience 1931
- Computers in biology and medicine 1854
- Annual International Conference of the IEEE Engineering in Medicine and Biology Society. IEEE Engineering in Medicine and Biology Society. Annual International Conference 1686
- Studies in health technology and informatics 1278
- IEEE journal of biomedical and health informatics 1130
- Journal of chemical information and modeling 998
- Nature communications 943
- Computer methods and programs in biomedicine 883
- Bioinformatics (Oxford, England) 861
- Briefings in bioinformatics 853
- IEEE transactions on neural networks and learning systems 826