AIMC Topic: Textiles

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Mechanical strength recognition and classification of thermal protective fabric images after thermal aging based on deep learning.

International journal of occupational safety and ergonomics : JOSE May 14, 2024
. Currently, numerous studies have focused on testing or modeling to evaluate the safe service life of thermal protective clothing after thermal aging, reducing the risk to occupational personnel. However, testing will render the garment unsuitable f...
Humans Textiles Protective Clothing Materials Testing Deep Learning
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Fabric tearing performance state perception and classification driven by multi-source data.

PloS one Apr 16, 2024
The tear strength of textiles is a crucial characteristic of product quality. However, during the laboratory testing of this indicator, factors such as equipment operation, human intervention, and test environment can significantly influence the resu...
Humans Support Vector Machine Textiles Electricity Perception
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Industrially Scalable Textile Sensing Interfaces for Extended Artificial Tactile and Human Motion Monitoring without Compromising Comfort.

ACS applied materials & interfaces Mar 23, 2024
Smart wearables with the capability for continuous monitoring, perceiving, and understanding human tactile and motion signals, while ensuring comfort, are highly sought after for intelligent healthcare and smart life systems. However, concurrently ac...
Textiles Touch Wearable Electronic Devices Humans Robotics Motion
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Tracking hand movements with a smart glove.

Science robotics Feb 21, 2024
Dynamic hand movements could be detected in real time using machine learning and a smart textile glove.
Robotics Movement Hand Textiles
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Recent advances in smart wearable sensors as electronic skin.

Journal of materials chemistry. B Nov 8, 2023
Flexible and multifunctional electronic devices and soft robots inspired by human organs, such as skin, have many applications. However, the emergence of electronic skins (e-skins) or textiles in biomedical engineering has made a great revolution in ...
Textiles Robotics Biomedical Engineering Skin Humans Wearable Electronic Devices
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Classification of Breathing Signals According to Human Motions by Combining 1D Convolutional Neural Network and Embroidered Textile Sensor.

Sensors (Basel, Switzerland) Jun 20, 2023
Research on healthcare and body monitoring has increased in recent years, with respiratory data being one of the most important factors. Respiratory measurements can help prevent diseases and recognize movements. Therefore, in this study, we measured...
Textiles Motion Humans Respiration Respiratory Rate Neural Networks, Computer
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Plant-Like Tropisms in Artificial Muscles.

Advanced materials (Deerfield Beach, Fla.) May 14, 2023
Helical plants have the ability of tropisms to respond to natural stimuli, and biomimicry of such helical shapes into artificial muscles has been vastly popular. However, the shape-mimicked actuators only respond to artificially provided stimulus, th...
Robotics Movement Humidity Textiles Muscles
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Prediction of textile pilling resistance using optical coherence tomography.

Scientific reports Oct 31, 2022
This paper describes a new method of textile pilling prediction, based on multivariate analysis of the spatial layer above the surface. The original idea of the method is the acquisition of 3D fabric image using optical coherence tomography (OCT) wit...
Support Vector Machine Tomography, Optical Coherence Discriminant Analysis Least-Squares Analysis Textiles
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Logic-enabled textiles.

Proceedings of the National Academy of Sciences of the United States of America Aug 22, 2022
Textiles hold great promise as a soft yet durable material for building comfortable robotic wearables and assistive devices at low cost. Nevertheless, the development of smart wearables composed entirely of textiles has been hindered by the lack of a...
Logic Textile Industry Textiles Wearable Electronic Devices Biotechnology Robotics
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Non-destructive detection and classification of textile fibres based on hyperspectral imaging and 1D-CNN.

Analytica chimica acta Aug 8, 2022
Textile fibre is very common in daily life, and its classification and identification play an important role in textile recycling, archaeology, public security, and other industries. However, traditional identification methods are time-consuming, lab...
Support Vector Machine Hyperspectral Imaging Neural Networks, Computer Discriminant Analysis Textiles
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