Garment opening position evaluation using kinesiological analysis of dressing activities: case study of physically disabled people with scoliosis (PDPS)

Hong, Yan; Zeng, Xiaoyang; Bruniaux, Pascal; Curteza, Antonela; Stelian, Maier; Chen, Yan

doi:10.1177/0040517517720503

Cited by 4 publications

(2 citation statements)

References 37 publications

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“…L&M theory must, as much as possible, also support the accommodation of outlier and even extreme deformities if goals of mass customization are ever to be achieved. Product development for scoliotic body shapes has had limited yet sufficient research to demonstrate the possibility of a direct humanoidto-coveroid process [38,39]. The proportional division discussed herein shows further promise toward these efforts.…”

Section: Derived Global Standard Size Chart Girthsmentioning

confidence: 94%

Landmarking for Improved Digital Product Creation

Scott¹,

Schildmeyer²,

Ruderman³

et al. 2023

cdatp

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Sampling is a critical step in the concept-to-style workflow for digitally created products. Virtual environments allow sampling without the costs associated with physical prototyping However, current practice often still requires physical prototyping. Here we consider how landmarking contributes to the need for iterative sampling, thereby inhibiting a fully digital product creation DPC process. In the process, the opportunity for error within traditional anthropometric study is highlighted and a path toward global standardized landmarking and measuring (L&M) is presented. Landmarks denote anatomical reference points common to all humans. They are critical to every stage of DPC: measuring, product development, virtual sampling, rigging, size selection, and try-on. Cross-platform use of humanoids (models of humans) and body-worn products will introduce errors if landmarking protocols do not align across three-dimensional body processing (3DBP) technologies. Here we discuss how to avoid these discrepancies by combining Clone Block™ theory with current ISO standards. Further study should validate the findings here for the implementation of global standardized L&M to facilitate 3D technology interoperability, fully DPC, and greater adoption of 3D technologies for improved fit of body-worn products.

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Section: Derived Global Standard Size Chart Girthsmentioning

confidence: 94%

Landmarking for Improved Digital Product Creation

Scott¹,

Schildmeyer²,

Ruderman³

et al. 2023

cdatp

View full text Add to dashboard Cite

show abstract

“…Using this scale, different linguistic terms can be assigned to describe the evaluation results of the color image perceptual data. Based on fuzzy set theory, these linguistic terms will be quantified into fuzzy numbers [19] . In this study, Triangular Fuzzy Numbers (TFNs), as classic fuzzy numbers, are used to quantify linguistic terms as presented in Table 1 [17] .…”

Section: Data Acquisition Quantification and Processingmentioning

confidence: 99%

CBCRS: An open case-based color recommendation system

Hong

Zeng

Wang

et al. 2018

Knowledge-Based Systems

Self Cite

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In this paper, a case-based color recommendation system (CBCRS) is proposed for online color ranges (CRs) recommendation. This system can help designers and consumers to obtain the most appropriate CR of consumer-products (e.g., garments, cars, architecture, furniture …) based on the color image perceptual data of each specific user. The proposed system is an open system, permitting to dynamically integrate new CRs by progressively learning from users' and designers' perceptual data. For this purpose, a Color Image Space (CIS) is initially established by using Basic Color Sensory Attributes (BCSAs) to obtain the color image perceptual data of both designers and consumers. Emotional Color Image Words (CIWs) representing CRs are measured in the proposed CIS through a knowledge-based Kansei evaluation process performed by designers using fuzzy aggregation operators and fuzzy similarity measurement tools. Using this method, new CIWs and related CRs from open resources (such as new color trends) can be integrated into the system. In a new recommendation, user's color image perceptual data measured in the proposed CIS regarding different BCSAs will be compared with those of CIWs previously defined in the system in order to recommend new CRs. CBCRS is an adaptive system, i.e. satisfied CRs will be further retained in a Successful Cases Database (SCD) so as to adapt recommended CRs to new consumers, who have similar user profiles. The general working process of the proposed system is based on case-based learning. Through repeated interactions with the proposed system by performing the cycle of Recommendation-Display-Evaluation-SCD adjustment , users (consumer or designer) will obtain satisfied CRs. Meanwhile, the quality of the SCD can be improved by integrating new recommendation cases. The proposed recommendation system is capable of dynamically generating new CIWs, CRs and new cases based on open resources.

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Exploring the influence of content marketing strategies on the expansion of the fashion second-hand market: a theoretical prediction study

wei,

Hong,

Zeng

2023

JFMM

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PurposeThe purpose of this research is to conduct a theoretical prediction study exploring the effectiveness of different content marketing strategies in expanding the second-hand market for fashion brands, comparing the costs and risks involved in these strategies in practice.Design/methodology/approachFirst, the expert interview method is employed to extract the content marketing strategies of the fashion second-hand market. Then, a descriptive space that is able to identify various fashion brand images is established. Then, experts' perceptions of the relationships between content marketing strategies and fashion brand image dimensions are obtained through a subjective evaluation procedure. Data of semantic evaluation were quantified and analyzed using the fuzzy logic method.FindingsWhen fashion brands expand to the second-hand market, they not only need to focus on improving the individual differentiation of products but also give priority to the quality of products and services and the overall customer experience. Exploring the “social impact strategy” will become an important direction for the development of fashion brands in the future.Originality/valueThe research methodology employed herein exhibits a noteworthy degree of novelty. This study introduces a pioneering theoretical prediction approach utilizing fuzzy logic, marking the inaugural exploration of this emerging and captivating dimension within the context of the study. Simultaneously, the study provides comparative results among content marketing strategies for expanding the fashion second-hand market, offering guidance for market expansion.

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Garment opening position evaluation using kinesiological analysis of dressing activities: case study of physically disabled people with scoliosis (PDPS)

Cited by 4 publications

References 37 publications

Landmarking for Improved Digital Product Creation

Landmarking for Improved Digital Product Creation

CBCRS: An open case-based color recommendation system

Exploring the influence of content marketing strategies on the expansion of the fashion second-hand market: a theoretical prediction study

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