A5032458876- Advanced Sensor and Energy Harvesting Materials
- Textile materials and evaluations
- Tactile and Sensory Interactions
- Ergonomics and Musculoskeletal Disorders
- Conducting polymers and applications
- Nanomaterials and Printing Technologies
- Liquid Crystal Research Advancements
- Surface Modification and Superhydrophobicity
- Additive Manufacturing and 3D Printing Technologies
- Muscle activation and electromyography studies
- Electrospun Nanofibers in Biomedical Applications
North Carolina State University
2021-2023
Wilson College
2023
Seoul National University
2019
Pressure sensors for wearable healthcare devices, particularly force sensitive resistors (FSRs) are widely used to monitor physiological signals and human motions. However, current FSRs not suitable integration into platforms. This work presents a novel technique developing textile (TFSRs) using combination of inkjet printing metal-organic decomposition silver inks heat pressing facile textiles. The insulating void by thermoplastic polyurethane (TPU) membrane between the top bottom...
Abstract Next generation textile‐based wearable sensing systems will require flexibility and strength to maintain capabilities over a wide range of deformations. However, current material sets used for skin contacting electrodes lack these key properties, which hinder applications such as electrophysiological sensing. In this work, facile spray coating approach integrate liquid metal nanoparticle into textile form factors conformal, flexible, robust is presented. The system employs...
Soft printed electronics exhibit unique structures and flexibilities suited for a plethora of wearable applications. However, forming scalable, reliable multilayered electronic devices with heterogeneous material interfaces on soft substrates, especially porous anisotropic structures, is highly challenging. In this study, we demonstrate an all-inkjet-printed textile capacitor using structure bilayer polymer dielectrics particle-free metal–organic decomposition (MOD) silver electrodes....
Advancements in wearable technology have integrated textile sensors into garments for long-term electrocardiogram (ECG) monitoring. However, optimizing biosignal quality, motion artifacts, and wearer comfort electronic textiles (E-textiles) remains challenging. While designing appropriate contact pressure (CP) is crucial, there a lack of guidance on proper material selection sizing achieving the desired CP. This article presents novel CP prediction model that utilizes three-dimensional...
The low-temperature processing, inherent flexibility, and biocompatibility of piezoelectric polymers such as poly(vinylidene fluoride) (PVDF)-based materials enable the creation soft wearable sensors, energy harvesters, actuators. Of various processing techniques, electrospinning is most widely adopted process to form PVDF nanofiber scaffolds with enhanced properties that they do not require further post-processing mechanical drawing, electrical poling, or thermal annealing. However,...
Achieving accurate fit and body contact pressure is one of the key issues in designing e-textiles such as electrocardiogram (ECG) sensing garments, which ECG signal quality dependent on electrodes skin. While this a known mechanism, few strategies exist for predictive design fabrics' response with strain unique to fabric's composition structure. In work, we propose technique using 3D garment simulation predict an armband screen printed Ag/AgCl electrodes. The evaluated seven different...
Abstract Smart textiles must combine both textile and electronic systems into one product. This presents challenges as each industry has their own design evaluation standards that are not compatible with another. As such, smart designers tend to rely heavily on the production iteration of physical prototypes create a product meets specified criteria. One emerging tool in apparel potential shorten prototyping cycle is 3D CAD for textiles, also known garment simulation. While typically used...
This paper proposes a simulation-based contact pressure (CP) prediction model for prototyping electronic textile (e-textile) wearable devices health monitoring. study uses CLO 3D garment simulator, and knit fabrics are investigated in different weights polyurethane contents. The first phase presents comparative analysis of simulated experimental stress. Based on the understanding stress, CP is developed by modifying Laplace’s law using validated sensor to compare actual pressure. helps...