A Method of Measuring Garment Movement for Wearable Sensing

Dunne, Lucy E.; Gioberto, Guido; Koo, Helen

doi:10.1109/iswc.2011.19

Cited by 10 publications

(8 citation statements)

References 12 publications

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“…Table 4 shows that the first three groups were obtained in terms of participant's ranks and the second one was grouped in terms of wrinkles' characteristics. It can be found from Table 4 that 12 out of 15 pieces of pants including item 1, 2, 3,4,5,6,7,8,11,12,13, and 14 reached an agreement on the degree of aesthetics from both participants and image analysis. For example, item 1, 2, 6, 7, and 11 are grouped into Group 1 by participants and through image analysis.…”

Section: Resultsmentioning

confidence: 92%

An assessment of aesthetics and comfort for women’s apparel products in terms of pattern design parameters

Zhao

Song

et al. 2019

Journal of Engineered Fibers and Fabrics

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The proper assessment of aesthetics and comfort is an important step before launching a new type of apparel. Most current works on this assessment are qualitative and hard to be applied in practical to improve apparel design. In this study, we proposed two quantitative mappings from pattern design parameters to degree of aesthetics and pattern design parameters to degree of comfort for assessing aesthetics and comfort of apparel, and particularly, women's pants have been investigated. Statistical analysis was employed in the mappings' development. An experiment was conducted as a validation for the mappings. Two major conclusions are drawn from this study. The first is that these mappings enable to extract a more advanced pattern for apparel design after the iterative pattern revision. The second is that these mappings are able to be digitalized and then the traditional method of observing feedbacks of aesthetics and comfort for an apparel product can be updated into a more efficient and low-cost one.

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Section: Resultsmentioning

confidence: 92%

An assessment of aesthetics and comfort for women’s apparel products in terms of pattern design parameters

Zhao

Song

et al. 2019

Journal of Engineered Fibers and Fabrics

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show abstract

“…For example, researchers at the University of Minnesota are working on smart fabrics that will one day detect a user's gait, posture (Dunne et al 2011), and joint angles (Gioberto et al 2013). Indeed, the researchers used their techniques to sew conductive thread into stockings that provide a user with vibrotactile feedback if they are bending their knee incorrectly.…”

Section: Future Wearable Systemsmentioning

confidence: 99%

Cognitive Informatics for Biomedicine

Patel¹,

Kannampallil²,

Kaufman³

2015

Health Informatics

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“…Their work focuses primarily on the effects of movement and fabric wrinkles on inertial sensors. Our previous work established a method of measuring the movement and position of a garment relative to the body surface [10] (which is implemented here as well), and employed this method to explore the variability in error measured over the lower body [11]. To initially explore the potential effect of garment movement on sensor signals, we first conducted experiments to analyze the garment movements of a pair of pants during a walk/run.…”

Section: Garment Movement Measurement and Error Analysismentioning

confidence: 99%

“…The Euclidean error distribution with respect to the marker locations shows larger value around the hip area, while it is smaller around thigh and calf, respectively [10]. In [1] we characterize the markers distribution properties and describe the settling behavior of the Drift Error.…”

Section: Garment Movement Measurement and Error Analysismentioning

confidence: 99%