Study on Comfort Evaluation Methods of Different Women’s High-Heeled Shoes Based on Electroencephalograph (EEG) Technology

Luo, Xi; Yun, Sun; Xue, Chao-Hua; Yue, Zongmin; Ren, Huijun

doi:10.24264/lfj.20.1.1

Cited by 4 publications

(10 citation statements)

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“…14 W E j =wentropy(x j ,'log energy') 15Weibull parameter (scale) 16 Hjörth parameter (activity) 17Hjörth parameter (mobility) 18Hjörth parameter (complexity) x: EEG signal; i: sample; N: samples per epoch; j: channel; µ: EEG mean of an epoch. For bands definition check Table 2.…”

Section: Discussionmentioning

confidence: 99%

“…In Luo et. al [16] is claimed that "the differences between the standing and walking states after comparison and analyses show that in the parietal region, frontal region, and occipital region, the α value of the standing state is greater than that of the walking state". In This work is licensed under a Creative Commons Attribution 4.0 License.…”

Section: Brain Area Influencementioning

confidence: 99%

“…Occipital electrodes were not considered in our research as they are more susceptible to motion artifacts. As the research in [16] did not apply any technique to mitigate motion artifacts and the comparison included a rest vs. motion analysis, it is hard to assure that the influence of occipital region in footwear comfort is determinant, and not due to differences caused by actual motion. It is important to remark that our research compares two motion states using different types of footwear, so although the experimental setup was different, results appoint to common regions that the ones indicated in [16].…”

Section: Brain Area Influencementioning

confidence: 99%

“…As the research in [16] did not apply any technique to mitigate motion artifacts and the comparison included a rest vs. motion analysis, it is hard to assure that the influence of occipital region in footwear comfort is determinant, and not due to differences caused by actual motion. It is important to remark that our research compares two motion states using different types of footwear, so although the experimental setup was different, results appoint to common regions that the ones indicated in [16]. Therefore, it can be stated that comfort vs. discomfort perception differences in our research can be found mainly in parietal and temporal regions and in a minor way in frontal lobe.…”

Section: Brain Area Influencementioning

confidence: 99%

“…However, there are not many studies that carry out the assessment of comfort through its correlation with electroencephalography (EEG) signals. In [16], an study of comfort for high-heeled shoes with EEG was shown. It was revealed that there was a correlation between alpha band and the size of the heel, appearing a power desynchronization the higher the heel was in occipital and parietal lobes.…”

Section: Introductionmentioning

confidence: 99%

See 4 more Smart Citations

Assessing Footwear Comfort by Electroencephalography Analysis

et al. 2021

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Footwear comfort is one of the determinant factors in a buyout decision. The understanding of which brain patterns are involved in the comfort perception of footwear could be an important element to develop the consumer neuroscience field, and could even help during the development phase of new products. The present paper studies the comfort perception through the electroencephalography analysis of the brain signals of ten subjects during walking. For the analysis, different features were extracted from the subject's biosignals based on power spectral density attributes and temporal and statistical parameters of the data under analysis. The research compared the features when the subjects were wearing a comfortable and a uncomfortable shoe by size on a treadmill. The results indicate that both kind of shoes could be classified with average accuracies of 84,3% and that an influence of parietal, tempo-parietal and in a minor way frontal lobes was detected. Despite the subject's dependency on the results, the research demonstrates that a common electrode and feature configuration could be applied keeping the results in an average accuracy of 83,7% and that a reduction to a 12 electrode setup maintains the accuracy at a 78,0% value.

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Section: Discussionmentioning

confidence: 99%

Section: Brain Area Influencementioning

confidence: 99%

Section: Brain Area Influencementioning

confidence: 99%

Section: Brain Area Influencementioning

confidence: 99%

Section: Introductionmentioning

confidence: 99%

See 3 more Smart Citations

Assessing Footwear Comfort by Electroencephalography Analysis

et al. 2021

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Methods for assessing footwear comfort: a systematic review

2021

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Enhancing wearability: designing wearable suit platforms for industrial workers

Chung,

Won,

Lee

et al. 2024

IJCST

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PurposeThe objective of this study was to develop wearable suit platforms with various anchoring structure designs with the intention of improving wearability and enhancing user satisfaction.Design/methodology/approachThis study selected fabrics and materials for the suit platform through material performance tests. Two anchoring structure designs, 11-type and X-type are compared with regular clothing under control conditions. To evaluate the comfort level of the wearable suit platform, a satisfaction survey and electroencephalogram (EEG) measurements are conducted to triangulate the findings.FindingsThe 11-type exhibited higher values in comfort indicators such as α, θ, α/High-β and lower values in concentration or stress indicators such as β, ϒ, sensorimotor rhythm (SMR)+Mid-β/θ, and a spectral edge frequency of 95% compared to the X-type while walking. The 11-type offers greater comfort and satisfaction compared to the X-type when lifting based on the EEG measurements and the participants survey.Originality/valueIt is recommended to implement the 11-type when designing wearable suit platforms. These findings offer essential data on wearability, which can guide the development of soft wearable robots.

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Study on Comfort Evaluation Methods of Different Women’s High-Heeled Shoes Based on Electroencephalograph (EEG) Technology

Cited by 4 publications

References 0 publications

Assessing Footwear Comfort by Electroencephalography Analysis

Assessing Footwear Comfort by Electroencephalography Analysis

Methods for assessing footwear comfort: a systematic review

Enhancing wearability: designing wearable suit platforms for industrial workers

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