Xianyi Zeng

Xianyi Zeng
Ecole d'ingénierie et d'innovation textile | ENSAIT · Le GEMTEX

Doctor of Engineering
Director of GEMTEX Laboratory; Full Professor at ENSAIT, University of Lille; FBD_BModel (H2020) and SMDTex coordinator

About

361
Publications
123,469
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3,214
Citations
Introduction
Fashion/textile digitalization and intelligentalization: intelligent design support systems, intelligent supply chain, human perception and emotion, process optimization. Wearable systems: intelligent garments, medical decision support systems, remote medical diagnosis. AI techniques: fuzzy logic, decision trees, cognitive maps, ANNs, deep learning
Skills and Expertise

Publications

Publications (361)
Article
Full-text available
In order to study the comfort of tight-fitting sportswear in winter, this paper designed a series of motions, and explored the distribution of comfort perception under different sports conditions by evaluating the wearing perception of human body. Finally, through the acquired experimental data, intelligent prediction models were established, and t...
Article
The 2D pattern-making methods which are entirely based on body measurements are widely used and practiced to design garments in today’s digital environment. Such a method is highly criticized due to a lack of consideration for the body's different morphological and anthropometric data. However, such a method would be effective with many precise and...
Article
Purpose-The purpose of this paper is to build a mathematical model of men's wear prototype, so that the computer can draw men's wear prototype automatically. Design/methodology/approach-First, the bust line, front and back center line, waist line, side seam, front chest width and back width line in the coordinate system are expressed by equations....
Article
Full-text available
In the clothing industry, garment pattern design serves as a significant middle link between fashion design and manufacturing. With the advent of advanced multimedia techniques, like virtual reality, 3D modeling, and interactive design, this work has become more intuitive. However, it is still a tremendous knowledge-based work that relied on the ex...
Article
Full-text available
This paper presents a garment design recommendation system based on two mathematical models that permit the prediction and control of garment styles and structural parameters from a consumer’s personalized requirements in terms of fitting and aesthetics. Based on a formalized professional garment knowledge base, enabling the quantitative characteri...
Article
Full-text available
Currently, garment fit evaluation is one of the biggest bottlenecks for fashion design and manufacturing. In this paper, we proposed a garment fit prediction model using data learning technology based on Artificial Neural Networks. The inputs of the proposed model are digital clothing pressures measured by virtual try-on, while the output of the mo...
Article
In this study, the distribution characteristics and changing law of sports comfort perception were analyzed by collecting the comfort evaluation data of running in winter tight sportswear, and proposes a network model based on particle swarm optimization-cuckoo search-long short-term memory to track the changing law of motion comfort. First, consid...
Article
The current three-dimensional human models used in the apparel industry are mostly rigid and lack semantic information on body positions and body parts. Therefore, it is difficult for designers to make accurate, fast and effective designs from these models. This paper proposes a new parametric three-dimensional human body model based on key positio...
Article
In order to improve the efficiency and accuracy of predicting the thermal and moisture comfort of skin-tight clothing (also called skin-tight underwear), principal component analysis(PCA) is used to reduce the dimensions of related variables and eliminate the multicollinearity relationship among variables. Then, the optimized variables are used as...
Article
Focusing on the “human–sport-clothing” system, this paper analyzed the influence of combinations of different tights and sport states on human body parts and overall body comfort from multiple dimensions. However, the motion state and some fabric parameters are non-numerical parameters, which could not be used for model analysis directly. In additi...
Article
Full-text available
With the booming development of the Internet and AI (Artificial Intelligence), smart clothing has emerged to meet consumers’ personalized needs in healthcare, work, entertainment, etc., and has rapidly become a hotspot in the clothing industry and research field. However, as smart clothing gets popular, sustainability issues are becoming increasing...
Article
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With the growing frequency and quantity of clothing purchases, the elimination rate of waste clothing is increasing. Many researchers have contributed to the topic of the recycling and reuse of waste clothing, and therefore many related literature reviews are emerging. The current reviews only focus on waste textile recycling and waste-clothing lif...
Preprint
Full-text available
Currently, garment fit evaluation is one of the biggest bottlenecks for fashion design and manufacturing. In this paper, we proposed a garment fit prediction model using data learning technology, such as Back Propagation Artificial Neural Networks (BP-ANNs), Random Forest, Bayesian Classifier. The inputs of the proposed model are digital clothing p...
Chapter
Full-text available
The textile industry contributes significantly to the world economy. In the Industry 4.0 era, the textile manufacturing process is expected to be more flexible. Whereas the intricate relationship between the large-scale variables from a variety of textile processes can lead to the extreme difficulty of decision-making issues. In order to overcome t...
Article
Skin pressure is a biomechanical measure widely used in the assessment of load carriage systems. However, because of the complicated contour of human body, the stiffness of the pressure sensor array, and the large range of measurable pressures, there is much variability in previously reported results. In this paper, a simple mechanical model for lo...
Article
The relationship between garment design parameters, wearer morphology, posture, fabric properties and ease allowance values is very complex and uncertain due to the presence existence of various human factors related to designer and consumer perception. The aim of this work is to set up a series of mathematical models to characterize and determine...
Preprint
Full-text available
Human Activity Recognition (HAR) has been a challenging problem yet it needs to be solved. It will mainly be used for eldercare and healthcare as an assistive technology when ensemble with other technologies like Internet of Things(IoT). HAR can be achieved with the help of sensors, smartphones or images. Deep neural network techniques like artific...
Article
In this paper, a novel attitude control method for nonlinear missile system is proposed, which combines backstepping technique with linear active disturbance rejection control (LADRC). Firstly, the nonlinear missile model is introduced and transformed into the standard state equation. The linear extended state observer (LESO) is used to estimate th...
Article
Full-text available
As the need for quickly exploring a textile manufacturing process is increasingly costly along with the complexity in the process. The development of manufacturing process modeling has attracted growing attention from the textile industry. More and more researchers shift their attention from classic methods to the intelligent techniques for process...
Chapter
The new consumption behaviors and environmental awareness are pushing the textile apparel industry to profound transformations. Co-design and production on demand are two success factors for this paradigm shift but require efficient and practical tools for companies. In this context, the European H2020 FBD_BModel project provides to practitioner a...
Article
Optimal ergonomic design for consumer goods (such as garments and furniture) cannot be perfectly realised because of imprecise interactions between products and human models. In this paper, we propose a new body classification method that integrates human skeleton features, expert experience, manual measurement methods, and statistical analysis (pr...
Article
Full-text available
Textiles release microfibers to the environment during production, use, and at end-of-life disposal. There is a potentially large and growing risk to the environment associated with microfiber pollution, which requires protection and sustainable development in the textile and fashion industry. To date, early-stage research efforts, perhaps the most...
Article
In this paper, the robust adaptive control and back-stepping method are considered for attitude control of aircraft systems. First, a non-linear aircraft model is introduced and converted to standard state space form. Then, an adaptive sliding mode controller is designed by using the back-stepping method. An adaptive law is designed to cooperate wi...
Article
Full-text available
The research in this paper aims to set up a new consumer profile definition method based on fuzzy technology and fuzzy AHP. The result of the study could be applied to garment recommendation systems for a special consumer. Consumer profiles are chosen as research objects. The fuzzy technology and fuzzy AHP are applied in this research, which aims t...
Presentation
Full-text available
This presentation and the conference paper gain the Outstanding Research Papers Award from the 14th Textile Bioengineering and Informatics Symposium (TBIS). The paper is later published in Sirilertsuwan, P., Thomassey, S., Zeng, X., & Yan C. (2022). How Living Wages Influence Apparel Costs and Comparative Advantages among Different Multi-tier Suppl...
Article
Full-text available
In the context of fashion/textile innovations towards Industry 4.0, a variety of digital technologies, such as 3D garment CAD, have been proposed to automate, optimize design and manufacturing processes in the organizations of involved enterprises and supply chains as well as services such as marketing and sales. However, the current digital soluti...
Article
In the e-commerce environment, website-based recommendation systems have been developed in order to help consumers without professional fashion-related knowledge to identify the most relevant garment products satisfying their specific personalized requirements in terms of fashion and functionalities. However, there are two main drawbacks in the exi...
Article
Full-text available
Garment pattern design is an extremely significant factor for the success of fashion company in mass customization and industry 4.0. In this paper, we proposed a new approach for constructing a garment pattern design knowledge base (GPDKB) using sensory analysis, ontology and support vector regression (SVR) modeling, aiming at systematically formal...
Article
Full-text available
An accidental fall seriously threatens the health and safety of the elderly. The injuries caused by a fall have a lot to do with the different postures during the fall. Therefore, recognizing the posture of falling is essential for the rescue and care of the elderly. In this paper, a novel method was proposed to improve the classification and recog...
Article
Multi-objective optimization, such as quality, productivity, and cost, of the textile manufacturing process is increasingly challenging because of the growing complexity involved in the development of textile industry in the upcoming big data era. It is hard for traditional methods to deal with high-dimension decision space in this issue, and prior...
Article
Full-text available
The quick development of mass customization in the apparel industry leads to an exponential increase of garment size combinations for markers, which induces a heavy and complex workload of marker making. In this context, due to the complexity of the problem, the classical marker making methods using the existing commercialized software are less per...
Article
In the garment industry, upgrading from mass production to mass customization is imperative, due to ever-changing fashion trends and customers’ increasing personal demands. Based on pattern variations, several practical mass customization methods in terms of custom-fit and co-design are developed in this study for cutting-related processes (i.e. th...
Article
Robust flight control laws based on back-stepping technology and ADRC method are designed for attitude control of a non-linear aircraft system. First, non-linear aircraft model is introduced and converted to standard equation of state. Then, the extended state observer is applied to estimate the unknown variables, the homologous ADRC is designed to...
Article
To study the upper body characteristics of young men, the body circumference, length, width, thickness, and angle of young men aged 18–25 and 26–35 years were collected to comprehensively characterize the concave and convex features of the front, back, and side of the human body. The Cuckoo Search-Density Peak intelligent algorithm was used to extr...
Article
This paper aims to propose an interpretable knowledge-based decision support system (IKBDSS) that will assist physicians to predict the risk level of a disease. Our system enables to integrate both historical cases extracted from database and opinions provided by different experts in order to set up a medical knowledge base and provide relevant adv...
Chapter
In fashion supply chain management, the selection of suppliers is a critical and integral part of overall business processes. Due to the advent of e-commerce business models, it is increasingly becoming challenging to select the appropriate criteria among many conflicting, inconsistent, and contradictory ones based on which supplier selection probl...
Article
Background Fabric is one of the key and vital design factors in fashion design. However, selection of relevant fabrics is rather complex for designers and managers due to the complexity of criteria at different levels. Introduction In this paper, we propose a new fabric recommendation model in order to quickly realize fabric selection from non-tec...
Article
This paper proposes a probabilistic neural network-based model for predicting and controlling garment fit levels from garment ease allowances, digital pressures, and fabric mechanical properties measured in a three-dimensional (3D) virtual environment. The predicted fit levels include both comprehensive and local fit levels. The model was set up by...
Article
Stiffness is one of the most important utility properties of textile materials and plays a significant role in well-being due to its influence on physiological comfort [1]. On that point are a great deal of structural properties of textile materials also operating parameters (knitting+finishing) influencing stiffness and there are also statisticall...
Article
Full-text available
In order to study the influence of human body parts on the overall comfort under different sports conditions, this paper designed a series of actions such as standing, squatting, running, walking, and so on, and obtained the key parts that affected the overall comfort at every experimental stage (i.e. every motion state) through subjective evaluati...
Preprint
Full-text available
Textile manufacturing is a typical traditional industry involving high complexity in interconnected processes with limited capacity on the application of modern technologies. Decision-making in this domain generally takes multiple criteria into consideration, which usually arouses more complexity. To address this issue, the present paper proposes a...
Preprint
Multi-objective optimization of the textile manufacturing process is an increasing challenge because of the growing complexity involved in the development of the textile industry. The use of intelligent techniques has been often discussed in this domain, although a significant improvement from certain successful applications has been reported, the...
Article
Full-text available
Textile manufacturing is a typical traditional industry involving high complexity in interconnected processes with limited capacity on the application of modern technologies. Decision-making in this domain generally takes multiple criteria into consideration, which usually arouses more complexity. To address this issue, the present paper proposes a...
Article
In this study, a new knowledge discovery and data mining-based technique has been proposed for garment size selection. It could be split into four sequential parts principally, involving data preparation, data preprocessing, fit models setting, and size selection. Two cases of mass customization, representing the top and bottom garments respectively...
Article
Full-text available
With the rapid development of garments recommendation systems, more and more garment knowledge base have been widely developed. The research in this paper aims to build a garment knowledge base in order to help general consumers to identify the most relevant products satisfying their specific requirements. We design four experiments for building th...
Article
Full-text available
Few studies on supply location decisions focus on enhancing triple bottom line (TBL) sustainability in supply chains; they rarely employ objective quantifiable measurements which help ensure consistent and transparent decisions or reveal relationships between business and environmental trade-off criteria. Therefore, we propose a decision-making app...
Article
In this study, we have explored and discussed the data mining-based solutions to apparel size assignment using approach principle, K-means clustering, and support vector machine, respectively. A case of mass customization for men's pants in China with 200 adult males were employed to validate and evaluate the solutions. After anthropometric data ac...
Article
Full-text available
Nowadays, the demand of small-series production and quick response become more and more important in textile supply chains. To meet the increasing trend of customization in garment production, forecast based supply chain model is not suitable any more. Demand-driven garment supply chain is developed and employed more and more. However, there are st...
Article
In this paper, we originally propose an interactive, knowledge-based design recommender system (IKDRS) for relevant personalised fashion product design schemes with their virtual demonstrations for a specific consumer. This system enables the iterative interaction between virtual product demonstration and the designer’s professional knowledge and p...
Article
This special issue collects 9 peer-reviewed papers. The main topics deal with smart wearable device development (4 papers) and intelligent signal processing algorithms integrated into wearable devices (5 papers). These papers are based on specific applications on online monitoring or tracking of human physical activity (5 papers) and medical indice...
Preprint
Full-text available
This paper introduced a reinforcement learning based decision support system in textile manufacturing process. A solution optimization problem of color fading ozonation is discussed and set up as a Markov Decision Process (MDP) in terms of tuple {S, A, P, R}. Q-learning is used to train an agent in the interaction with the setup environment by accu...
Article
Full-text available
In the article, we use the proportional directional valve (PDV) with unknown dead-zones to regulate the electro-hydraulic system (EHS) which has parametric uncertainties including the drastic supply pressure variation; moreover, the external disturbance occurs when the EHS works; in addition, the control voltage applied to the PDV is expected to sa...
Article
In order to achieve the precise and agile homing control of the powered parafoil system, an optimal‐multiphase homing methodology is explored in this article. The proposed methodology is composed by a trajectory optimization method based on quantum genetic algorithm and a trajectory tracking method based on an improved active disturbance rejection...
Chapter
Recent years have witnessed the rapid development of human activity recognition (HAR) based on wearable sensor data. One can find many practical applications in this area, especially in the field of health care. Many machine learning algorithms such as Decision Trees, Support Vector Machine, Naive Bayes, K-Nearest Neighbor, and Multilayer Perceptro...
Chapter
Full-text available
Textile products with faded effect are increasingly popular nowadays. Ozonation is a promising finishing process treatment for obtaining such effect in the textile industry. The interdependent effect of the factors in this process on the products’ quality is not clearly known and barely studied. To address this issue, the attempt of modeling this t...
Article
Full-text available
In this paper, we present a mass customization (MC)-oriented garment production planning system using mathematical optimization methods to generate the most efficient size chart and cutting order plan. It is composed of two subsystems, i.e., the fit-oriented garment sizing system and the cost-oriented garment cutting-order-planning (COP) system. In...