2010
DOI: 10.1016/j.triboint.2010.04.004
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A neural network approach to predict tactile comfort of applying cosmetic foundation

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Cited by 12 publications
(8 citation statements)
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“…Sensory tests are based on an appreciation of the product performance and give the information perceived or observed. The tests were used to translate sensations into objective data, useful to study the development of new products and to ensure that their performance meets the expectations of the consumers . With respect to the studied parameters for BC mask evaluation, the results showed only for the “handling” parameter the score was higher for VEM (7.5) when compared to PEM (5.5) in the score scale ranging from 0 to 9.…”
Section: Resultsmentioning
confidence: 99%
See 1 more Smart Citation
“…Sensory tests are based on an appreciation of the product performance and give the information perceived or observed. The tests were used to translate sensations into objective data, useful to study the development of new products and to ensure that their performance meets the expectations of the consumers . With respect to the studied parameters for BC mask evaluation, the results showed only for the “handling” parameter the score was higher for VEM (7.5) when compared to PEM (5.5) in the score scale ranging from 0 to 9.…”
Section: Resultsmentioning
confidence: 99%
“…Then, the membranes were in | 843 the development of new products and to ensure that their performance meets the expectations of the consumers. 29,30 With respect to the studied parameters for BC mask evaluation, the results showed only for the "handling" parameter the score was higher for VEM (7.5) when compared to PEM (5.5) in the score scale ranging from 0 to 9. Color, texture, smell, skin, and overall improvement reached 7.2, 6.8, 5.2, 6.3, and 6.2 score values, respectively, as shown in Figure 3.…”
Section: Preparation Of Bc Masksmentioning
confidence: 98%
“…A modification of the same tribometer has also been used to generate inputs (11 instrumental inputs) to an artificial neural network designed to predict the same five perceptual quantities [64]. In this case, inspection of the network weights showed quite different contributions of the 11 inputs for each of the five percepts.…”
Section: Instrumental Measurements From Live and Simulated Touchmentioning
confidence: 99%
“…Nakano et al [34] simulated the application of cosmetic foundations by measuring the sliding friction between silicone elastomer surfaces in the presence of such products. They processed the data using artificial neural networks and were able to predict the emotional tactile comfort with relatively high accuracy based on the frictional data.…”
Section: Introductionmentioning
confidence: 99%