National Taiwan University

Hsien-Li Kao

Hao-Ming Hsiao

Dian-Ru Li

Chung-Yuan Hsu

Kuang-Huei Lee

Mao-Shin Lin

A disease diagnosing method and a disease diagnosing system are provided in the disclosure. The disease diagnosing method includes: obtaining continuous images of a body skin and generating a time domain signal according to an average pixel value of a region of interest in each frame of the continuous images; transforming the time domain signal to a frequency domain signal and combining the time domain signal and the frequency domain signal to a time frequency signal; retrieving multiple first features of a first high dimensional space of the time frequency signal to obtain multiple second features of a second high dimensional space; and use the second features as feature vectors to map to a high dimension feature space, and classifying the second features as one of the multiple categories of a disease corresponding to the region of interest in the body skin according to a hyperplane of the high dimension feature space.

Disease diagnosing method and disease diagnosing system

A method and a wearable apparatus for disease diagnosis are provided. The method is applied to the wearable apparatus with an image capturing unit and a display unit. In this method, a plurality of input images in a field of view of the wearable apparatus are captured by using the image capturing unit, wherein each of the input images contains an array of pixels. The variations of the pixel values in a time domain are analyzed. The pixel variations within a specific frequency range are magnified and the magnified pixel variations are added onto the original ones to generate an output image. The output image is overlapped with a current image in the field of view of the wearable apparatus and displayed on the display unit.

Growing community of inventors

Taipei, Taiwan

Hsien-Li Kao