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Publications (10 of 14) Show all publications
Kumar, V., Hernández, N., Jensen, M. & Pal, R. (2023). Deep learning based system for garment visual degradation prediction for longevity. Computers in industry (Print), 144, Article ID 103779.
Open this publication in new window or tab >>Deep learning based system for garment visual degradation prediction for longevity
2023 (English)In: Computers in industry (Print), ISSN 0166-3615, E-ISSN 1872-6194, Vol. 144, article id 103779Article in journal (Refereed) Published
Abstract [en]

Prolonging garment longevity is a well-recognized key strategy to reduce the overall environmental impact in the textile and clothing sector. In this context, change or degradation in esthetic or visual appeal of a garment with usage is an important factor that largely influence its longevity. Therefore, to engineer the garments for a required lifetime or prolong longevity, there is a need for predictive systems that can forecast the trajectory of visual degradation based on material/structural parameters or use conditions that can guide the practitioners for an optimal design. This paper develops a deep learning based predictive system for washing-induced visual change or degradation of selected garment areas. The study follows a systematic experimental design to generate and capture visual degradation in garment and equivalent fabric samples through 70 cycles in a controlled environment following guideline from relevant washing standards. Further, the generated data is utilized to train conditional Generative Adversarial Network-based deep learning model that learns the degradation pattern and links it to washing cycles and other seam properties. In addition, the predicted results are compared with experimental data using Frechet Inception Distance, to ascertain that the system prediction are visually similar to the experimental data and the prediction quality improves with training process.

Keywords
Garment longevity, Predictive system, Generative Adversarial Networks (GANs), Deep learning
National Category
Computer Sciences Information Systems Textile, Rubber and Polymeric Materials
Research subject
Textiles and Fashion (General)
Identifiers
urn:nbn:se:hb:diva-28623 (URN)10.1016/j.compind.2022.103779 (DOI)000865427500005 ()2-s2.0-85137731068 (Scopus ID)
Funder
University of Borås, 2019-04938
Available from: 2022-09-18 Created: 2022-09-18 Last updated: 2024-02-01Bibliographically approved
Alt Murphy, M., Bergquist, F., Hagström, B., Hernández, N., Johansson, D., Ohlsson, F., . . . Malmgren, K. (2019). An upper body garment with integrated sensors for people with neurological disorders - early development and evaluation. BMC Biomedical Engineering, 1(3)
Open this publication in new window or tab >>An upper body garment with integrated sensors for people with neurological disorders - early development and evaluation
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2019 (English)In: BMC Biomedical Engineering, ISSN 2524-4426, Vol. 1, no 3Article in journal (Refereed) Published
Abstract [en]

Background: In neurology and rehabilitation the primary interest for using wearables is to supplement traditionalpatient assessment and monitoring in hospital settings with continuous data collection at home and in communitysettings. The aim of this project was to develop a novel wearable garment with integrated sensors designed forcontinuous monitoring of physiological and movement related variables to evaluate progression, tailor treatmentsand improve diagnosis in epilepsy, Parkinson’s disease and stroke. In this paper the early development andevaluation of a prototype designed to monitor movements and heart rate is described. An iterative developmentprocess and evaluation of an upper body garment with integrated sensors included: identification of user needs,specification of technical and garment requirements, garment development and production as well as evaluation ofgarment design, functionality and usability. The project is a multidisciplinary collaboration with experts frommedical, engineering, textile, and material science within the wearITmed consortium. The work was organized inregular meetings, task groups and hands-on workshops. User needs were identified using results from a mixedmethodssystematic review, a focus group study and expert groups. Usability was evaluated in 19 individuals(13 controls, 6 patients with Parkinson’s disease) using semi-structured interviews and qualitative contentanalysis.

Results: The garment was well accepted by the users regarding design and comfort, although the users werecautious about the technology and suggested improvements. All electronic components passed a washabilitytest. The most robust data was obtained from accelerometer and gyroscope sensors while the electrodes forheart rate registration were sensitive to motion artefacts. The algorithm development within the wearITmedconsortium has shown promising results.

Conclusions: The prototype was accepted by the users. Technical improvements are needed, but preliminarydata indicate that the garment has potential to be used as a tool for diagnosis and treatment selection andcould provide added value for monitoring seizures in epilepsy, fluctuations in PD and activity levels in stroke.Future work aims to improve the prototype further, develop algorithms, and evaluate the functionality andusability in targeted patient groups. The potential of incorporating blood pressure and heart-rate variabilitymonitoring will also be explored.

Keywords
Wearable Technology, Ambulatory monitoring, Neurological disorders, Biomedical Engineering, Smart textiles
National Category
Neurology
Research subject
Textiles and Fashion (General)
Identifiers
urn:nbn:se:hb:diva-23834 (URN)10.1186/s42490-019-0002-3 (DOI)
Projects
MedTech WestSmart textiles
Funder
Swedish Foundation for Strategic Research , SBE13–0086
Available from: 2020-09-18 Created: 2020-09-18 Last updated: 2020-09-21Bibliographically approved
Hernández, N., Mattila, H. & Berglin, L. (2019). Can Virtually Trying on Apparel Help in Selecting the Correct Size?. Clothing & Textiles Research Journal
Open this publication in new window or tab >>Can Virtually Trying on Apparel Help in Selecting the Correct Size?
2019 (English)In: Clothing & Textiles Research Journal, ISSN 0887-302XArticle in journal (Refereed) Published
Abstract [en]

Close to 30% of garments bought online are returned, often due to issues of fit. These issues often relate to size selection, which is challenging without physically trying on a garment. Alternative methods need to be explored to select the best size in lieu of physically trying apparel on. To address this issue, we compare the size selections based on primary measurements and size charts, virtual garments, and real garments. A cross-sectional quantitative survey was carried out in an experimental setting. The participants (36, predominantly White females, aged 21–56) made size selections and evaluations based on virtual and real blouses and trousers. Selecting the size based on virtual garments is more accurate than size selection based on primary measurements and size charts, scoring 57% and 42%, respectively. Further research should be used to improve the virtual fitting room, with benefits such as fewer returns and more satisfied customers.

Place, publisher, year, edition, pages
Sage Publications, 2019
Keywords
garment, apparel, fit, evaluation, virtual, simulation, size selection
National Category
Economics and Business
Identifiers
urn:nbn:se:hb:diva-15009 (URN)10.1177/0887302X19856117 (DOI)000482951700003 ()2-s2.0-85067882227 (Scopus ID)
Available from: 2018-08-21 Created: 2018-08-21 Last updated: 2024-02-01Bibliographically approved
Soroudi, A., Hernández, N., Berglin, L. & Nierstrasz, V. (2019). Electrode placement in electrocardiography smart garments: A review. Journal of Electrocardiology, 57, 27-30
Open this publication in new window or tab >>Electrode placement in electrocardiography smart garments: A review
2019 (English)In: Journal of Electrocardiology, ISSN 0022-0736, E-ISSN 1532-8430, Vol. 57, p. 27-30Article in journal (Refereed) Published
Abstract [en]

Wearable Electrocardiography (ECG) sensing textiles have been widely used due to their high flexibility, comfort, reusability and the possibility to be used for home-based and real-time measurements. Textile electrodes are dry and non-adhesive, therefor unlike conventional gel electrodes, they don't cause skin irritation and are more user-friendly especially for long-term and continuous monitoring outside the hospital. However, the challenge with textile electrodes is that the quality and reliability of recorded ECG signals by smart garments are more sensitive to different factors such as electrode placement, skin humidity, user activities and contact pressure. This review will particularly focus on the research findings regarding the influence of electrode placement on the quality of biosignal sensing, and will introduce the methods used by researchers to measure the optimal positions of the electrodes in wearable ECG garments. The review will help the designers to take into account different parameters, which affect the data quality, reliability and comfort, when selecting the electrode placement in a wearable ECG garment.

Keywords
Electrode placement, electrocardiography, ECG, wearable electronics, smart garments
National Category
Engineering and Technology
Research subject
Textiles and Fashion (General)
Identifiers
urn:nbn:se:hb:diva-21721 (URN)10.1016/j.jelectrocard.2019.08.015 (DOI)000503909100007 ()2-s2.0-85071359617 (Scopus ID)
Projects
WearItMed
Funder
Swedish Foundation for Strategic Research
Available from: 2019-09-13 Created: 2019-09-13 Last updated: 2020-01-29Bibliographically approved
Soroudi, A., Hernández, N., Wipenmyr, J. & Nierstrasz, V. (2019). Surface modification of textile electrodes to improve electrocardiography signals in wearable smart garment. Journal of materials science. Materials in electronics, 30(17), 16666-16675
Open this publication in new window or tab >>Surface modification of textile electrodes to improve electrocardiography signals in wearable smart garment
2019 (English)In: Journal of materials science. Materials in electronics, ISSN 0957-4522, E-ISSN 1573-482X, Vol. 30, no 17, p. 16666-16675Article in journal (Refereed) Published
Abstract [en]

Recording high quality biosignals by dry textile electrodes is a common challenge in medical health monitoring garments. The aim of this study was to improve skin–electrode interface and enhance the quality of recorded electrocardiography (ECG) signals by modification of textile electrodes embedded in WearItMed smart garment. The garment has been developed for long-term health monitoring in patients suffering from epilepsy and Parkinson’s disease. A skin-friendly electro-conductive elastic paste was formulated to coat and modify the surface of the knitted textile electrodes. The modifications improved the surface characteristics of the electrodes by promoting a more effective contact area between skin and electrode owing to a more even surface, fewer pores, greater surface stability against touch, and introduction of humidity barrier properties. The modifications decreased the skin–electrode contact impedance, and consequently improved the recorded ECG signals obviously when low pressure was applied to the electrodes, therefore contributed to greater patient comfort. The created contact surface allowed the natural humidity of the skin/sweat to ease the signal transfer between the electrode and the body, while introducing a shorter settling time and retaining moisture over a longer time. Microscopic images, ECG signal measurements, electrode–skin contact impedance at different pressures and times, and water absorbency were measured and reported.

Keywords
textile electrode, smart textile, ECG garment, surface modification
National Category
Textile, Rubber and Polymeric Materials
Research subject
Textiles and Fashion (General)
Identifiers
urn:nbn:se:hb:diva-21727 (URN)10.1007/s10854-019-02047-9 (DOI)000486022200088 ()2-s2.0-85071499887 (Scopus ID)
Projects
WearItMed
Funder
Swedish Foundation for Strategic Research
Available from: 2019-09-13 Created: 2019-09-13 Last updated: 2020-01-29
Hernández, N. (2018). A Systematic Model for Improving Theoretical Garment Fit. Journal of Fashion Marketing and Management, 22(4), 527-539
Open this publication in new window or tab >>A Systematic Model for Improving Theoretical Garment Fit
2018 (English)In: Journal of Fashion Marketing and Management, ISSN 1361-2026, Vol. 22, no 4, p. 527-539Article in journal (Refereed) Published
Abstract [en]

Purpose

The purpose of this paper is to use a systematic model for detecting misfit between the garment and the target group.

Design/methodology/approach

Using an empirical–analytical methodology, the systematic model was tested. The input data were run through the model to generate the output data, which were analysed, including basic statistics. The purpose of the analysis was to detect misfit and improve the garment measurement chart. This procedure was repeated until a clear result was reached.

Findings

The result of this study is an optimised garment measurement chart, which considers the garment’s ease, different sizes/proportions in relation to a target group. The results show that it is possible to use a systematic model to define the shortcomings of a garment´s range of sizes and proportions.

Research limitations/implications

Further studies are needed to verify the results of the theoretical garment fit and their values in relation to real garment fit.

Practical implications

If the systematic model is implemented to improve the theoretical garment fit, this may have effects on the available garment sizes and its proportions, resulting in increased theoretical garment fit for the target group.

Originality/value

The paper presents a systematic model for detecting and eliminating theoretical fitting; the model includes both garment ease allowance and defined points of misfit.

Place, publisher, year, edition, pages
Emerald Group Publishing Limited, 2018
National Category
Economics and Business
Identifiers
urn:nbn:se:hb:diva-15008 (URN)10.1108/JFMM-10-2017-0112 (DOI)000443158800005 ()2-s2.0-85049591821 (Scopus ID)
Available from: 2018-08-21 Created: 2018-08-21 Last updated: 2024-02-01Bibliographically approved
Hernández, N. (2018). Does it really fit?: improve, find and evaluate garment fit. (Doctoral dissertation). Borås: Högskolan i Borås
Open this publication in new window or tab >>Does it really fit?: improve, find and evaluate garment fit
2018 (English)Doctoral thesis, comprehensive summary (Other academic)
Abstract [en]

Clothes affect everyone; we wear them for all occasions; they silently communicate on our behalf, and they can enhance our level of confidence and comfort. For the garment to be comfortable, the garment fit has to be appropriate. Appropriate for the intended function and in line with the wearer’s preferences. For the garment to end up as an approved garment in the customer’s wardrobe, it has to be improved and evaluated many times over. The final evaluation to pass is when the customer finds the garment, tries it on and asks: Does it really fit? The common denominator for the studies included in this thesis is garment fit; the goal is to investigate some methods to improve, find and evaluate garment fit. To improve garment fit, two studies were done. One study is on improving garment fit with the help of a systematic model, based on anthropometric and garment numerical data; this is explored with the help of an experimental set up. The second study is on improving garment fit for the unique figure by offering made-to-measure garments, which is investigated with a structure of action research. An experimental strategy is used to find garments that fit, where the size and fit correspondence is compared between virtual and real garments. To tie everything together, variables for garment fit evaluation are identified with the help of a structured literature review and then analysed within each study. The result shows that the theoretical garment fit improves by using the systematic model. Both the overall accommodation for the target group increased as well as the fit value. The garment fit is improved for the unique figure; this is achieved through complex body measurements, invasive pattern modifications and garment make-up for fit evaluation. The accuracy for size selection based on virtual garments exceeded the one based on the more traditional key measurements. The variables involved in the garment fit evaluation can be divided into five areas: influencing factors, evaluations focus, resources, evaluators or fitting sessions.

Place, publisher, year, edition, pages
Borås: Högskolan i Borås, 2018
Series
Skrifter från Högskolan i Borås, ISSN 0280-381X ; 88
Keywords
garment fit, fit value, pattern construction, pattern modifications, virtual, made-to-measure, custom-made, garment, garment simulation
National Category
Engineering and Technology
Identifiers
urn:nbn:se:hb:diva-14321 (URN)978-91-88269-96-6 (ISBN)978-91-88269-97-3 (ISBN)
Public defence
2018-09-18, Vestindien, the Swedish School of Textiles,, Skaraborgsvägan 3, Borås, 10:00 (English)
Opponent
Available from: 2018-08-23 Created: 2018-06-11 Last updated: 2018-08-23Bibliographically approved
Larsson, J. L., Pal, R., Lindqvist, R., Johansson, M. & Hernandez, N. (2016). From Roll to Bag: D5.2 Final Product Construction Report.
Open this publication in new window or tab >>From Roll to Bag: D5.2 Final Product Construction Report
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2016 (English)Report (Other academic)
Abstract [en]

This is the final product construction report for the From Roll to Bag project. The purpose of this report is to present the implementation of the new pattern technology to selected products and to present the modularity for consumer selection. For fulfilling the tasks (5.1 and 5.2) two garments where chosen, one jacket and one shirt, and customization options regarding fit, model, colour and function were developed for each of them. This includes implementation of novel pattern technology to products, graphics, a product architecture with customisation options and initial production tests to verify perfect fit in production and later in use. The more challenging part was to guarantee manufacturability as the patterns require automated manufacturing equipment due to their detailed construction and the pattern matching. Such equipment includes a cutter with a scanner that identifies the outline of the printed pattern and cuts accoringly. If garments with less detailed graphics are considered for production, pre-dyed fabrics can be used and that requires less investments in manufacturing equipment. Such set up would miss one point of the project but in the tradeoff between investment cost and product price point it may be a viable solution. The garments and customization modules are also fit for production but in order to achieve a detailed production evaluation with exact production times and material consumption a long run of products is needed. Considerations about customer’s experiences in this type value chains are also discussed.

Publisher
p. 47
National Category
Production Engineering, Human Work Science and Ergonomics Design
Research subject
Textiles and Fashion (General); Textiles and Fashion (Design)
Identifiers
urn:nbn:se:hb:diva-10485 (URN)
External cooperation:
Projects
From Roll to Bag
Funder
EU, Horizon 2020, 644114
Available from: 2016-08-15 Created: 2016-08-15 Last updated: 2018-08-20Bibliographically approved
Rundqvist, K., Hernandez, N., Syrén, F., Lund, A. & Nierstrasz, V. (2016). Optimising position and pressure of wearable textile sensors to reduce motion artifacts. In: : . Paper presented at Printed electronics, Berlin, 2016.
Open this publication in new window or tab >>Optimising position and pressure of wearable textile sensors to reduce motion artifacts
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2016 (English)Conference paper, Poster (with or without abstract) (Other academic)
National Category
Natural Sciences
Identifiers
urn:nbn:se:hb:diva-11459 (URN)
Conference
Printed electronics, Berlin, 2016
Available from: 2016-12-14 Created: 2016-12-14 Last updated: 2017-05-04Bibliographically approved
Rundqvist, K., Hernández, N., Syrén, F., Lund, A. & Nierstrasz, V. (2016). The Challanges of Textile Sensors in Comfortable Wearable Health Monitoring Systems. In: : . Paper presented at 16th World Textile Conference AUTEX, Ljubljana, June 8-10, 2016.
Open this publication in new window or tab >>The Challanges of Textile Sensors in Comfortable Wearable Health Monitoring Systems
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2016 (English)Conference paper, Poster (with or without abstract) (Other academic)
National Category
Engineering and Technology
Identifiers
urn:nbn:se:hb:diva-10033 (URN)
Conference
16th World Textile Conference AUTEX, Ljubljana, June 8-10, 2016
Funder
Swedish Foundation for Strategic Research
Available from: 2016-06-16 Created: 2016-06-16 Last updated: 2017-05-04Bibliographically approved
Organisations
Identifiers
ORCID iD: ORCID iD iconorcid.org/0000-0002-0416-2926

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