A skin quality inspection method detects the condition of skin quality based on the random value made by a chaotic vector space matrix of a reflection light signal of the skin, so that based on the phenomenon that skin inflammation causes vasodilatation or angiogenesis of capillary vessels that cause increased randomness, the present invention allows for identifying the degree of inflammation and also helps improve the accuracy of the skin quality inspection method. The method is performed in combination with an input module, a processing module, and an output module and comprises the following steps: the input module acquiring data of multiple reflection light signals of the interior of the skin organization within a predetermined zone, the reflection light signals being generated to separetely correspond to multiple sub-areas of the predetermined zone based on the data of the reflection light signals, the processing module performing the following steps: dividing each of the reflection light signals into multiple waveform data according to a predetermined window size, constructing multiple phase space vectors according to each piece of the waveform data to quantify each of the phase space vector, reconstructing a chaotic vector space matrix with each of the quantified phase space vectors, determining a maximum value among the chaotic vector space matrix, and setting the maximum value as a poor skin condition and the output module outputting the skin quality condition of each sub-area.一種膚質檢測方法,藉由皮膚的反射光信號的混沌向量空間矩陣所計算得到的亂度值決定膚質狀況,基於皮膚發炎導致微血管擴張或增生導致相較於正常膚質有亂度增加的現象,本發明不但可以區別發炎現象的程度,也可提高膚質檢測方法的精確度。S11~S20‧‧‧步驟
