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In this study, a methodology integrating a sketch design recognition approach with an interactive genetic algorithm is proposed to help laypersons get clothes reflecting their preferences. The sketch design recognition approach consists of a composite description model, a sketch recognition method and a database. First, a composite description model based on the knowledge of fashion design is developed to describe the characteristics of a skirt. Second, a sketch recognition method is used to help laypersons get satisfactory clothes. Third, a database in constructed to record general elements of skirts. Moreover, an interactive genetic algorithm (IGA) is used to accelerate the sketch recognition process. The experimental results demonstrate that the proposed method can 'recognize' users' preferred styles efficiently. The subjective evaluation has shown that the system can help general consumers without any fashion design or sketch training to create their own designs.

To better respond to today’s volatile and changing fashion market, the purpose of this paper is to develop a web-based design support system that enables users to design realistic and interesting skirts in the form of technical sketches over the internet.

The proposed system mainly consists of a sketch representation and composing method (SRCM), a graphic user interface (GUI) and a controller. The SRCM is implemented at the server end that generates technical sketches according to user defined parameters and features via the web-based GUI at the client side. The controller manages the workflows between the server and the clients.

To evaluate the effectiveness of the proposed system, a survey was conducted by inviting 30 subjects (professional designers or undergraduate students studying fashion design) to have trial run of the system in Hong Kong and in the USA. Positive comments and feedbacks were received, and valuable suggestions were also obtained in regard to the prototype system.

Compared with traditional computer-aided design (CAD) systems, the proposed system is more effective and easier to operate as users can create technical sketches in accurate proportions with simple computer operations in a few mouse clicks. Besides, the output sketches are fully compatible with most commercial CAD software. The system is developed based on web technologies, thus fashion sketches can be easily designed using any computer connected to the internet; it can be implemented on Android or iOS platform in the future.

To improve the apparel e-customized system and meet consumers’ personalized requirement in the e-customization, the purpose of this paper is to develop an e-customized co-design system on garment design (ECS-GD) that enables users to co-design garment and communicate with stakeholders.

The e-customized co-design system mainly consists of function and modular structure, communication and evaluation modular. Based on the evolutionary algorithm and fuzzy theory, the e-customized system model is proposed with a presentation of garment interface. Based on the parameters of skirts, technical sketches, fabrics, color, patterns, comments and scores, the decision is made by consumers.

For the system to be effective, the system was conducted by multi-individuals co-work (consumers, designers, manufacturers and experts). The data flow was congruent to the design knowledge. The expert evaluation and communication were involved in the proposed system.

The limitation of this study is that the system is not tested in experiments. The model, main function and data flow are proposed in this study, which is important in the e-customized co-design system development.

Compared to the e-shopping and garment recommendation, the proposed ECS-GD is a good approach to improve the existing e-customized system and a well solution to help consumers with design knowledge recommending, professional suggestions and evaluations. Besides, the sketches and knowledge recommendation are provided to consumers which is a learning process.

Accurate and fitted garment patterns are fundamentally important in garment manufacturing. Even though a virtual body can now be obtained by 3D scanning, the problem of generating patterns model is still challenging because the mapping from a 3D body to 2D pattern is constrained by complex garment style information and sewing definitions. This paper presents a new approach for generating 2D block patterns directly from scanned 3D unstructured points of the human body. The new approach consists of a series of steps from body recognition, body modelling to pattern formation. In the paper, algorithms for body feature extraction and body modelling are first described, then the relationship between the human body, patterns and darts are investigated, and pattern creation through automatic dart transformation are thus developed. The paper has demonstrated that the proposed method can generate 2D block patterns from a 3D unstructured point cloud.

The purpose of this paper is to discuss the development of a novel test instrument to quantify the eco‐functional properties of various shopping bags. One of the main properties, which lies at the interface of both ecological and functional properties, is the reusability of shopping bags. Other properties at this juncture also include the impact strength and weight holding capacity of a shopping bag.

The developed tester can be used to assess these three properties (reusability, impact strength and weight holding capacity) of any type of shopping bag. This study discusses the concept and development of an eco‐functional tester for shopping bags. It also reports test results of the reusability, impact strength and weight holding capacity of different types of shopping bags. Reusability and impact strength are expressed by two variants: absolute maximum capability and comparative maximum capability.

According to the test results, plastic bags outscore paper bags in the single use category and woven bags top the reusable bags category.

To date, there is no scientific instrument reported in the literature that quantifies the reusability of different shopping bags. The value of reusability can be directly utilized for LCA calculations. Other functions derived from this instrument are equally important, since they decide the useful life time of shopping bag and they assist the LCA practitioner to decide the functional unit of the study. This unit is the base of any LCA study and upon it comparisons are made.

With the developments of e-commerce markets, novel recommendation technologies are becoming an essential part of many online retailers’ economic models to help drive online sales. Initially, the purpose of this paper is to undertake an investigation of apparel recommendations in the commercial market in order to verify the research value and significance. Then, this paper reviews apparel recommendation techniques and systems through academic research, aiming to acquaint apparel recommendation context, summarize the pros and cons of various research methods, identify research gaps and eventually propose new research solutions to benefit apparel retailing market.

This study utilizes empirical research drawing on 130 academic publications indexed from online databases. The authors introduce a three-layer descriptor for searching articles, and analyse retrieval results via distribution graphics of years, publications and keywords.

This study classified high-tech integrated apparel systems into 3D CAD systems, personalised design systems and recommendation systems. The authors’ research interest is focussed on recommendation system. Four types of models were found, namely clothes searching/retrieval, wardrobe recommendation, fashion coordination and intelligent recommendation systems. The forth type, smart systems, has raised more awareness in apparel research as it is equipped with advanced functions and application scenarios to satisfy customers. Despite various computational algorithms tested in system modelling, existing research is lacking in terms of apparel and users profiles research. Thus, from the review, the authors have identified and proposed a more complete set of key features for describing both apparel and users profiles in a recommendation system.

Based on previous studies, this is the first review paper on this topic in this subject field. The summarised work and the proposed new research will inspire future researchers with various knowledge backgrounds, especially, from a design perspective.

The purpose of this study is to contribute to understanding of employee's relationships with their uniforms and the perceived impact on their experiences at work. An improved understanding of this relationship may provide benefits for both the employee and the organisation. Recognising an ageing workforce and increasing female representation, differences based on gender and age are of interest.

The study aimed to explore employee views and perceptions of uniform design and potential links to their happiness and productivity at work. An online survey was developed and completed by 2,560 uniform wearers. The data were analysed through descriptive and inferential statistics. Exploratory factor analysis uncovered latent variables from among the large number of survey items. A two-way factorial ANOVA compared perceptions based on gender and age.

The results suggest participants feel that their uniform has an impact on their happiness and behaviour at work. Differences in responses to their uniform were found based on gender and age. The survey tool enabled consideration of employee views and exploratory factor analysis identified five constructs of uniform design priorities: positive feelings, experience at work, suitability and practicality, tailored to the individual, visibility and brand.

This research is believed to be the first survey exploring the views of UK-based uniform wearers. Key elements of uniform design have been prioritised from the employee perspective to offer an emerging model to understand employee perceptions of uniform design. These findings inform uniform manufacturers and employers in designing and developing uniform to address the needs of employees.

User-centered product designs have been attracting increasing attention, particularly in digital design. In interacting with the design support system, designers may face problems such as changing demands (e.g. unclear demands) and insufficient descriptions of these demands (e.g. data scarcity). The purpose of this paper is to build a design support system prototype for demonstrating the feasibility of meeting the high involvement of users in digital products.

Interactive evolutionary computation is applied.

A prototype of self-design greeting card system (SDGCS) was proposed. It provides professional design layouts, offers users numerous self-design models, and allows nonprofessional users to easily design greeting cards. The results of this study show that users were satisfied with the functionality, usefulness, and ease-of-use of the SDGCS.

This study used digital card design as an example for demonstrating the feasibility of satisfying the unclear needs of uses, enabling users to design a digital card creatively and complete their designs quickly. However, the current system only supports the design of static objects and layout of card. And the evaluation sample size was small, which might affect generalizability of the findings.

In practice, greeting card web operators can image the feasible business models by providing the attraction of self-design functionalities.

In current human-centric marketing era, consumers have begun to request interaction with designers in creating the value of a product. However, very few previous studies have provided support for digital product self-design. This study demonstrated the feasibility of satisfying the needs of self-design.

Considering only two-dimensional (2D) ease allowance cannot fully reflect the three-dimensional (3D) relationship between the position of clothing and the human body. The purpose of this paper is to propose a method with a 3D space vector and corresponding distance ease to characterize fitting garments and then used to construct personalized clothing for similar shape body.

Firstly, a 3D scanner was used to obtain mannequin and fitted garment data, and 17 layers of cross-sections of the upper body were extracted. Then, 37 space vectors and corresponding space angles on each cross-section were obtained with the original point. Secondly, the detailed distance ease between the mannequin and garment was constructed due to the difference between garment vectors and body vectors. Thirdly, the distance ease mathematical models were achieved and used to calculate distance ease on a similar shape body. Additionally, the fit garment is constructed, and the garment pattern is altered by the geometric pattern alteration method.

The results show that 3D space vectors can explain the relationship between body skin and garment surface of the upper body properly. The distance ease is modeled by mathematic expressions and successfully used to make a new garment to fit a similar shape body.

The proposed method of constructing garments based on distance ease and 3D space vectors can create a fitted garment for a similar shape body effectively and accurately. It is useful for the personalized garment design and suitable for the manufacturing process.