This paper proposes a new intelligent fashion recommender system to select the most relevant garment design scheme for specific consumer in order deliver personalized products. integrates emotional themes and human perception on body shapes professional designers' knowledge. The corresponding perceptual data are systematically collected from using sensory evaluation techniques. of consumers designers formalized mathematically fuzzy sets relations. complex relation between measurements basic...

One of the features digital ecosystem is integration human cognition and socio-economic themes into process new product development (NPD). In a theme-based NPD, ranking set prototypes that have been designed always requires participation multiple evaluators consideration evaluation criteria. Using well-being garment NPD as background, this paper first presents fuzzy hierarchical criteria group decision-making (FHCGDM) method which can effectively calculate final results through fusing all...

This paper explores the influence of textile, physiological, and sensorial parameters on sock comfort. Comfort sport socks were evaluated in two different exercises by a non-trained panel. The criteria sensory evaluation perceived foot temperature, fabric dampness, pain. No rating scale or common lexicon was needed for evaluation. Foot temperature humidity measured during sensors integrated footwear, while coefficients friction between samples mechanical skin model using previously developed...

Textile and clothing industry is one of the oldest manufacturing industries a major contributor in economic growth developing countries. However, from past few decades, it has been criticised for its opaque, unsecured untraceable nature supply chain. Addressing these challenges, paper proposes system approach to introduce an item-centric secured traceability concept monitor control processes chain activities. In order implement such system, describes process manufacturing, encoding...

In the context of fashion/textile innovations towards Industry 4.0, a variety digital technologies, such as 3D garment CAD, have been proposed to automate, optimize design and manufacturing processes in organizations involved enterprises supply chains well services marketing sales. However, current solutions rarely deal with key elements used fashion industry, including professional knowledge, functional requirements customer their relations product technical parameters. Especially, plays an...

Fetal movement is an essential index of fetal well-being. However, existing technologies in clinical applications cannot provide effective, long-term and easily accessible way for monitoring. This paper presents a wearable system using accelerometers machine learning automatic monitoring movement. To realize the concept e-health home care, Internet Things (IoT) applied on to connect all terminal units control center. The whole mainly consists two parts: local unit remote health evaluation...

This article presents a fuzzy logic–based method for representing and analyzing results of subjective evaluation on the fabric hand given by experts in fashion or quality inspection. permits generation quantitative criterion characterizing textile products modeling relationships between objective numerical data measured Kawabata system (KES). © 2003 Wiley Periodicals, Inc.

This paper proposes a new wearable system for firefighter protection. is composed of lightweight garment integrating number sensors measuring the wearer's physiological state and microcontroller permitting to gather all measured data make data-based prediction on health state, stress fatigue, etc. The proposed can continuously monitor key features using selected accurately placed at positions garment. For ensuring comfort close contact between human body in order optimize signal quality,...

In online transactions of textile products, fabric hand was thought to be inaccessible consumers. Recently, much effort has been made study the feasibility providing consumers with a real sense through virtual experience. The current paper proposes extract information from perspective visual perception. Two sensory experiments are conducted according standardized evaluation procedures on set representative fabrics by two trained panels. first experiment is aimed measure how can perceived...

Wearable systems measuring human physiological indicators with integrated sensors and supervised learning-based medical image analysis (e.g. ECG, X-ray, CT or ultrasound images for lung the chest) have been considered relevant tools COVID-19 monitoring diagnosis. However, these two technical roadmaps their respective advantages drawbacks. The current wearable enable to realize real-time of but are limited its basic symptoms only, neither allowing distinguish it from other diseases nor...

This paper presents a new method for modeling the relationship between objective and subjective fabric hand evaluations adjusting parameters of production features. In this method, fuzzy techniques, principal component analysis other data techniques are applied human knowledge on numerical measured instruments used in complementary way selecting relevant physical features extracting rules. The effectiveness has been shown through number knitted cotton samples.