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178 results about "Skin sensitivity" patented technology

Primer combination for detecting skin anti-aging capability genes, and detection method

The invention discloses a primer combination for detecting skin anti-aging capability genes. The skin anti-aging capability genes comprises collagen multiplication capability gene COL1A1, a skin moisture retaining and keeping capability gene AQP3, a radiation protection capability gene ASIP, ultraviolet damage repair capability genes ERCC2 and LOC105374069, a skin detoxifying capability gene GSTP1, a skin sensitivity gene IL6R and an estrogen level gene DIAPH2, and corresponding PCR primers and single-base extension reaction primers are designed aiming at the eight genes. The invention further discloses a method for performing gene detection by utilizing the primer combination. The method comprises the following steps: carrying out sample DNA extraction, PCR amplification and single-base extension and nucleic acid mass spectrometric analysis to obtain corresponding genotypes, and then carrying out analysis and scoring, thereby scientifically evaluating the difference of individual skin aging processes, providing scientific and precise recommendations for daily skin care and life habits of individuals, and also being helpful to reasonable selection of skincare products of individuals according to skin types.
Owner:上海东方杰玛基因生物科技有限公司

Non-invasive human body thermal comfort AI sensing method

The invention discloses a non-invasive human body thermal comfort AI sensing method. The method includes the following steps of: acquiring and preprocessing data; defining and extracting skin sensitivity indexes; constructing a deep learning network for non-invasive skin sensing thermal comfort; and performing training to generate a network model. According to the method, the image data of human body skin are acquired through computer vision, and after the data are processed, an address mapping table between region-of-interest images and skin temperatures is constructed; and skin sensitivity differences between different human bodies for external heat and cold stimuli are adopted as weight coefficients, feature extraction is performed on the address mapping table and the SSIs (Skin Sensitivity Index), and feature fusion is performed, training is further performed, obtained network models are saved, and optimization is performed, so that a final network model is obtained for skin temperature prediction. With the AI sensing method of the invention adopted, three major challenges, namely, the micro skin changes, inter-individual differences and intra-individual time variability in human body thermal comfort detection can be overcome; and energy optimization, energy conservation and environmental protection can be realized. The method has high operability.
Owner:NANJING UNIV OF POSTS & TELECOMM
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