AIMC Topic: Accelerometry

Clear Filters Showing 71 to 80 of 261 articles

Exploring Regularization Methods for Domain Generalization in Accelerometer-Based Human Activity Recognition.

Sensors (Basel, Switzerland) Jul 19, 2023
The study of Domain Generalization (DG) has gained considerable momentum in the Machine Learning (ML) field. Human Activity Recognition (HAR) inherently encompasses diverse domains (e.g., users, devices, or datasets), rendering it an ideal testbed fo...
Humans Awareness Accelerometry Human Activities Neural Networks, Computer Machine Learning
View on PubMed DOI

Development and Analysis of a CNN- and Transfer-Learning-Based Classification Model for Automated Dairy Cow Feeding Behavior Recognition from Accelerometer Data.

Sensors (Basel, Switzerland) Feb 27, 2023
Due to technological developments, wearable sensors for monitoring the behavior of farm animals have become cheaper, have a longer lifespan and are more accessible for small farms and researchers. In addition, advancements in deep machine learning me...
Accelerometry Cattle Feeding Behavior Neural Networks, Computer Machine Learning Female Animals Algorithms
View on PubMed DOI

AccNet24: A deep learning framework for classifying 24-hour activity behaviours from wrist-worn accelerometer data under free-living environments.

International journal of medical informatics Jan 25, 2023
OBJECTIVE: Although machine learning techniques have been repeatedly used for activity prediction from wearable devices, accurate classification of 24-hour activity behaviour categories from accelerometry data remains a challenge. We developed and va...
Humans Exercise Wrist Deep Learning Accelerometry Bayes Theorem
View on PubMed DOI

A Flexible Deep Learning Architecture for Temporal Sleep Stage Classification Using Accelerometry and Photoplethysmography.

IEEE transactions on bio-medical engineering Dec 26, 2022
Wrist-worn consumer sleep technologies (CST) that contain accelerometers (ACC) and photoplethysmography (PPG) are increasingly common and hold great potential to function as out-of-clinic (OOC) sleep monitoring systems. However, very few validation s...
Photoplethysmography Heart Rate Deep Learning Sleep Stages Sleep Accelerometry
View on PubMed DOI

Accommodating unobservability to control flight attitude with optic flow.

Nature Oct 19, 2022
Attitude control is an essential flight capability. Whereas flying robots commonly rely on accelerometers for estimating attitude, flying insects lack an unambiguous sense of gravity. Despite the established role of several sense organs in attitude s...
Optic Flow Insecta Biomimetic Materials Flight, Animal Wings, Animal Accelerometry Motion Biomimetics Robotics Models, Biological Biomechanical Phenomena Animals
View on PubMed DOI

Topographic design in wearable MXene sensors with in-sensor machine learning for full-body avatar reconstruction.

Nature communications Sep 9, 2022
Wearable strain sensors that detect joint/muscle strain changes become prevalent at human-machine interfaces for full-body motion monitoring. However, most wearable devices cannot offer customizable opportunities to match the sensor characteristics w...
Accelerometry Humans Motion Range of Motion, Articular Machine Learning Wearable Electronic Devices
View on PubMed DOI

A Deep Learning Approach to Classify Sitting and Sleep History from Raw Accelerometry Data during Simulated Driving.

Sensors (Basel, Switzerland) Sep 1, 2022
Prolonged sitting and inadequate sleep can impact driving performance. Therefore, objective knowledge of a driver's recent sitting and sleep history could help reduce safety risks. This study aimed to apply deep learning to raw accelerometry data col...
Humans Young Adult Adult Female Accelerometry Sitting Position Adolescent Male Movement Sleep Deep Learning
View on PubMed DOI

On the Problem of State Recognition in Injection Molding Based on Accelerometer Data Sets.

Sensors (Basel, Switzerland) Aug 17, 2022
The last few decades have been characterised by a very active application of smart technologies in various fields of industry. This paper deals with industrial activities, such as injection molding, where it is required to monitor continuously the ma...
Neural Networks, Computer Machine Learning Algorithms Accelerometry Running
View on PubMed DOI

Accurate Step Count with Generalized and Personalized Deep Learning on Accelerometer Data.

Sensors (Basel, Switzerland) May 24, 2022
Physical activity (PA) is globally recognized as a pillar of general health. Step count, as one measure of PA, is a well known predictor of long-term morbidity and mortality. Despite its popularity in consumer devices, a lack of methodological standa...
Deep Learning Algorithms Humans Accelerometry Exercise Neural Networks, Computer
View on PubMed DOI

Road Surface Anomaly Assessment Using Low-Cost Accelerometers: A Machine Learning Approach.

Sensors (Basel, Switzerland) May 16, 2022
Roads are a strategic asset of a country and are of great importance for the movement of passengers and goods. Increasing traffic volume and load, together with the aging of roads, creates various types of anomalies on the road surface. This work pro...
Fourier Analysis Accelerometry Entropy Machine Learning Automobiles
View on PubMed DOI
Popular Topics
Recent Journals