Related projects

Related projects include publications that have been published from initiatives outside of Next UPPS, but they are still related to ultra-personalisation. These publications are authored by the UPPS team members, professors, and PhD students from other universities, often closely connected to TU Delft. Here you will find a complete list of related projects.

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A Comparative Study Between Three Measurement Methods to Predict 3D Body Dimensions Using Shape Modelling

Peeters, T., Vleugels, J., Verwulgen, S., Danckaers, F., Huysmans, T., Sijbers, J., & De Bruyne, G. (2019)

In Advances in intelligent systems and computing (pp. 464–470)

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A Comparison Between Representative 3D Faces Based on Bi- and Multi-Variate and Shape Based Analysis

Goto, L., Huysmans, T., Lee, W., Molenbroek, J., & Goossens, R. (2018)

In Advances in intelligent systems and computing (pp. 1355–1364)

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A machine learning approach to the design of customized shoe lasts

Booth, B. G., Sijbers, J., & Huysmans, T. (2019)

Footwear Science, 11(sup1), S17–S19

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An Articulating Statistical Shape Model of the Human Hand

Van Houtte, J., Stanković, K., Booth, B. G., Danckaers, F., Bertrand, V., Verstreken, F., Sijbers, J., & Huysmans, T. (2018)

In Advances in intelligent systems and computing (pp. 433–445)

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Automatic Generation of Statistical Shape Models in Motion

Danckaers, F., Scataglini, S., Haelterman, R., Van Tiggelen, D., Huysmans, T., & Sijbers, J. (2018)

In Advances in intelligent systems and computing (pp. 170–178)

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Collaborative Production Line Planning with Augmented Fabrication

Aschenbrenner, D., Li, M., Dukalski, R., Verlinden, J., & Lukosch, S. (2018)

IEEE VR 2018, the 25th IEEE Conference on Virtual Reality and 3D User Interfaces

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Comparing Human Factors for Augmented Reality supported Single and Cooperative Repair Operations of Industrial Robots

Aschenbrenner, D., Leutert, F., Çençen, A., Verlinden, J., Schilling, K., Latoschik, M. E., & Lukosch, S. (2019)

Frontiers in Robotics And AI, 6

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Cooperative production line planning with AR co-location

Aschenbrenner, D., Li, M., Dukalski, R., Verlinden, J., & Lukosch, S. (2018)

IEEE VR 2018, the 25th IEEE Conference on Virtual Reality and 3D User Interfaces

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DINED Mannequin

Huysmans, T., Goto, L., Molenbroek, J., & Goossens, R. (2020)

Tijdschrift voor Human Factors, 45(1)

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Designed to fit: Using 3D anthropometric data of children’s heads and faces in mask design

Goto, L. (2021)

[Dissertation (TU Delft), Delft University of Technology]

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Designing ultra-personalized product service systems

Nachtigall, T., Tomico O., Mironcika, S., & Feijs, L.

CoDesign, 16(4), 274–292

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EVA Moccasin: Creating a research archetype to explore shoe use

Nachtigall, T. (2017)

In Proceedings of the 2017 ACM International Symposium on Wearable Computers (pp. 197-202)

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Encoding Materials and Data for Iterative Personalization

Nachtigall, T., Tomico, O., Wakkary, R., & Van Dongen, P. (2019)

In proceedings of the 2019 CHI Conference on Human Factors in Computing Systems Paper No. 519, 2019. CoDesign Journal: Designing Ultra-Personalized Product Service Systems

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From personal to ultra-personalized

Nachtigall, T. R., Mironcika, S., Feijs, L. M., Tomico Plasencia, O. (2019)

Knowing together - experiental knowledge and collaboration (EKSIG 2019) (pp. 41-55)

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Image-based Modeling for Adolescent Idiopathic Scoliosis: Mechanistic Machine Learning Analysis and Prediction

Tajdari, M., Pawar, A., Li, H., Tajdari, F., Maqsood, A., Cleary, E., Saha, S., Zhang, Y., Sarwark, J. F., & Liu, W. K. (2021)

Computer Methods in Applied Mechanics And Engineering, 374, 113590

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Multi-patch B-Spline Statistical Shape Models for CAD-Compatible Digital Human Modeling

Huysmans, T., Danckaers, F., Vleugels, J., Lacko, D., De Bruyne, G., Verwulgen, S., & Sijbers, J. (2018)

In Advances in intelligent systems and computing (pp. 179–189)

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PAPPI: Personalized analysis of plantar pressure images using statistical modelling and parametric mapping

Booth, B. G., Hoefnagels, E., Huysmans, T., Sijbers, J., & Keijsers, N. L. (2020)

PLOS ONE, 15(2), e0229685

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Shoe design for older adults: Evidence from a systematic review on the elements of optimal footwear

Jellema, A., Huysmans, T., Hartholt, K., & van der Cammen, T. (2019)

Maturitas, 127, 64–81

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Subject-specific identification of three dimensional foot shape deviations using statistical shape analysis

Stanković, K., Huysmans, T., Danckaers, F., Sijbers, J., & Booth, B. G. (2020)

Expert Systems With Applications, 151, 113372

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Three-dimensional quantitative analysis of healthy foot shape: a proof of concept study

Stanković, K., Booth, B. G., Danckaers, F., Burg, F., Vermaelen, P., Duerinck, S., Sijbers, J., & Huysmans, T. (2018)

Journal Of Foot And Ankle Research, 11(1)

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Towards Ultra Personalized 4D Printed Shoes

Nachtigall, T., Tomico, O., Wakkary, R., Wensveen, S., Van Dongen, P., & Van Noorden, L. T. (2018)

In Extended Abstracts of the 2018 CHI Conference on Human Factors in Computing Systems (p. CS20)

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Towards a next wave of wearable and fashionable interactions

Hallnäs, L., Tomico, O., Liang, R., & Wensveen, S. (2017)

Towards a Next Wave of Wearable and Fashionable Interactions. International Journal Of Design, 11(3), 1–6

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Unpacking Solemaker into a model for UPPSS

Nachtigall, T., Tomico, O., Wakkary, R., Wensveen, S., & Van Dongen, P. (2019)

In proceedings of the Conference on Research Through Design

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