Personalized Product Design Through Digital Fabrication

Minnoye, A.L.M.; Tajdari, Farzam; Doubrovski, E.L; Wu, Jun; Kwa, Felix; Elkhuizen, Willemijn S; Huysmans, Toon; Song, Yu

doi:10.1115/detc2022-91173

Cited by 8 publications

(4 citation statements)

References 19 publications

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“…While all users appreciate the comfort of the comfort wearables, we did not find a significant difference between size and accuracy. This addresses the importance of wearability and personalization, as personalized fit introduces a better inclusiveness for different body shapes, enabling the wider adoption of wearables in daily activities [49].…”

Section: Wearable Performance and Comfortmentioning

confidence: 99%

Comfort Wearables for In-Flight Sitting Posture Recognition

Yao,

Yang,

Vledder

et al. 2023

IEEE Access

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Wearables are used to recognize human activities in various applications. However, there is limited evidence on the comfort feelings in using wearables, which is crucial for the adoption and longterm engagement of users in those applications. In this paper, we propose the concept of comfort wearables in the context of in-flight posture recognition. A comfort wearable and a tight-fit version, using identical hardware and software architecture, were prototyped and tested by 35 participants in a Boeing 737 cabin. During the usage of each wearable, participants were asked to perform seven frequently observed in-flight sitting postures and report their overall comfort/discomfort afterwards. A multilayer perceptron neural network was used to classify those activities. Experiment results indicated that participants appreciated the comfort wearable, rating it with significantly higher comfort scores and lower discomfort scores. Crossvalidation results also revealed that using the comfort wearable achieved even better accuracy (74.8%) than using the tight-fit wearable (65.8%) in posture recognition. Outcomes of the study demonstrate that ergonomic design and technical accuracy are not competing factors in the wearable design and highlight the opportunities for designing and using comfort wearables in broader contexts.

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Section: Wearable Performance and Comfortmentioning

confidence: 99%

Comfort Wearables for In-Flight Sitting Posture Recognition

Yao,

Yang,

Vledder

et al. 2023

IEEE Access

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“…Due to comparatively huge changes in shape during deforming a dynamic object, dynamic anthropometry and 4D scanning have attracted a lot of attention in clothing technology recently [1,2]. The 4D scanning gives valuable information regarding human body deformation during moving, conducting an activity and dynamic workload, establishes the fundamentals of comprehensive ergonomic fit design e.g., personal protective equipment, workwear, sportswear, and other practical garments [3,4].…”

Section: Introductionmentioning

confidence: 99%

Dynamic 3D Mesh Reconstruction Based on Nonrigid Iterative Closest-Farthest Points Registration

Tajdari

Kwa

Christiaan³

et al. 2022

Volume 2: 42nd Computers and Information in Engineering Conference (CIE)

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Fitting apparel and apparel in performing different activities is essential for the functional yet comfortable experience of the user. 4D scans, i.e. 3D scans in continuous timestamps, of the body (part) in performing those activities are the basis for the design of garments/apparel in 4D. In this paper, we proposed a semi-automatic workflow for constructing 4D scans of the body parts with the emphasis on registering noisy scans at a given timestamp. Continuous 3D scans regarding the moving body parts are captured first from different depth cameras from different view angles. In a given timestamp, the collected 3D scans are roughly aligned to a template using the rigid Iterative Closest Points (ICP) algorithm. Then these scans are further registered using a newly proposed non-rigid Iterative Closest-Farthest Points (ICFP) algorithm, in which correspondences between the source and the target are established by either closest or farthest points based on the newly defined logical distance concept and the probability theory. Experimental results indicated that the ICFP method is robust against noise and the scanning accuracy can be as high as 3.4 %. It also reveals that, for the human foot, the differences of ball width and ball angles between the loaded and the unloaded situation can be as large as 8 mm and 2 degrees, respectively. This highlights the importance of using 4D scan in designing garments and apparel.

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“…Comfort-based footwear fit has determined direct positive impact on enhancing biomechanical performance [7], decreasing the chance of movement-related injury [8], and practical-wise it is the most important factor for users to choose footwear [9]. Thus, Footwear should be fully/semi personalised fit to satisfy any customer in terms of comfort, safety and fitting [10].…”

Section: Introductionmentioning

confidence: 99%

Optimal Position of Cameras Design in a 4D Foot Scanner

Tajdari

Eijck

Kwa

et al. 2022

Volume 2: 42nd Computers and Information in Engineering Conference (CIE)

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Optical motion capturing explains the three-Dimensional (3D) position estimation of points through triangulation employing several depth cameras. Prosperous performance relies on level of visibility of points from different cameras and the overlap of captured meshes in-between. Generally, the accuracy of the estimation is practically based on the camera parameters e.g., location and orientations. Accordingly, the camera network configurations play a key role in the quality of the estimated mesh. This paper proposes an optimal approach for camera placement based on characteristics of a depth camera D435i - Intel RealSense. The optimal problem includes a cost function that contains several minimisation and maximisation terms. The minimisation terms are distance of the cameras to the center of the scanning object, resolution error, and sparsity. And the maximisation terms are distance between each two pair of cameras, percent of captured point from an object, and the level of overlap between cameras. The object is designed based on practical experiments of human walking and is a bounding box around one step of dynamic foot work-space from heel strike posture to toe-off posture. The accuracy and robustness of the algorithms are assessed via experiment measurement, and sensitivity to the number of cameras is investigated. Accordingly, the experiment results determined that the scanning accuracy can be as high as 2.5 % based on a reference scan with a high-end scanner (Artec Eva).

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Personalized Product Design Through Digital Fabrication

Cited by 8 publications

References 19 publications

Comfort Wearables for In-Flight Sitting Posture Recognition

Comfort Wearables for In-Flight Sitting Posture Recognition

Dynamic 3D Mesh Reconstruction Based on Nonrigid Iterative Closest-Farthest Points Registration

Optimal Position of Cameras Design in a 4D Foot Scanner

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