AIMC Topic: Clothing

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Learning the signatures of the human grasp using a scalable tactile glove.

Nature May 29, 2019
Humans can feel, weigh and grasp diverse objects, and simultaneously infer their material properties while applying the right amount of force-a challenging set of tasks for a modern robot. Mechanoreceptor networks that provide sensory feedback and en...
Humans Man-Machine Systems Touch Hand Datasets as Topic Clothing Neural Networks, Computer Data Analysis Hand Strength
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Neural Data-Driven Musculoskeletal Modeling for Personalized Neurorehabilitation Technologies.

IEEE transactions on bio-medical engineering Mar 24, 2016
OBJECTIVES: The development of neurorehabilitation technologies requires the profound understanding of the mechanisms underlying an individual's motor ability and impairment. A major factor limiting this understanding is the difficulty of bridging be...
Gait Clothing Orthotic Devices Neurological Rehabilitation Motor Neurons Prostheses and Implants Electromyography Walking Models, Neurological Muscle, Skeletal Robotics Humans Biomechanical Phenomena
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A Hierarchical Classification and Segmentation Scheme for Processing Sensor Data.

IEEE journal of biomedical and health informatics Feb 8, 2016
Detecting short-duration events from continuous sensor signals is a significant challenge in the domain of wearable devices and health monitoring systems. Time-series segmentation refers to the challenge of subdividing a continuous stream of data int...
Humans Models, Theoretical Young Adult Adult Machine Learning Signal Processing, Computer-Assisted Monitoring, Ambulatory Male Algorithms Eating Clothing Female
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Deep Convolutional and LSTM Recurrent Neural Networks for Multimodal Wearable Activity Recognition.

Sensors (Basel, Switzerland) Jan 18, 2016
Human activity recognition (HAR) tasks have traditionally been solved using engineered features obtained by heuristic processes. Current research suggests that deep convolutional neural networks are suited to automate feature extraction from raw sens...
Clothing Databases, Factual Humans Human Activities Signal Processing, Computer-Assisted Monitoring, Ambulatory Neural Networks, Computer Machine Learning
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Estimating Energy Expenditure With Multiple Models Using Different Wearable Sensors.

IEEE journal of biomedical and health informatics May 13, 2015
This paper presents an approach to designing a method for the estimation of human energy expenditure (EE). The approach first evaluates different sensors and their combinations. After that, multiple regression models are trained utilizing data from d...
Walking Models, Biological Energy Metabolism Young Adult Bicycling Monitoring, Ambulatory Adult Clothing Male Motor Activity Humans Machine Learning Female
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Wp-VTON: A wrinkle-preserving virtual try-on network via clothing texture book.

Neural networks : the official journal of the International Neural Network Society Sep 1, 2025
Virtual try-on technology seeks to seamlessly integrate an image of a specified garment onto the target person, generating a synthesized image that realistically depicts the person wearing the clothing. Existing methods based on generative adversaria...
Neural Networks, Computer Virtual Reality Image Processing, Computer-Assisted Humans Clothing
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Machine learning-based sales forecasting during crises: Evidence from a Turkish women's clothing retailer.

Science progress Jan 1, 2025
BACKGROUND: Retail involves directly delivering goods and services to end consumers. Natural disasters and epidemics/pandemics have significant potential to disrupt supply chains, leading to shortages, forecasting errors, price increases, and substan...
SARS-CoV-2 Turkey Consumer Behavior Algorithms Forecasting Female Commerce Clothing Humans Machine Learning Pandemics COVID-19
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Estimating mechanical properties of cloth from videos using dense motion trajectories: Human psychophysics and machine learning.

Journal of vision May 1, 2018
Humans can visually estimate the mechanical properties of deformable objects (e.g., cloth stiffness). While much of the recent work on material perception has focused on static image cues (e.g., textures and shape), little is known about whether huma...
Adult Biomechanical Phenomena Male Machine Learning Female Young Adult Clothing Motion Perception Psychophysics Spatio-Temporal Analysis Video Recording Elasticity Humans
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SmartSock: a wearable platform for context-aware assessment of ankle edema.

Annual International Conference of the IEEE Engineering in Medicine and Biology Society. IEEE Engineering in Medicine and Biology Society. Annual International Conference Aug 1, 2016
Ankle edema an important symptom for monitoring patients with chronic systematic diseases. It is an important indicator of onset or exacerbation of a variety of diseases that disturb cardiovascular, renal, or hepatic system such as heart, liver, and ...
Mechanical Phenomena Ankle Clothing Monitoring, Ambulatory Humans Accelerometry Posture Edema Signal Processing, Computer-Assisted
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Exoskeleton progress yields slippery slope.

Science (New York, N.Y.) Dec 4, 2015
Walking Military Personnel Clothing Humans Robotics
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