Wistron Corporation

Yu-Ren Lai

Yu-Yen Chen

Ching-An Cho

Po Chun Chen

Kuo Ting Huang

An image detection method for determining the postures of a user includes: obtaining a plurality of images of a user; determining whether the user moves; and when the user is determined to be moving, calculating whether the amount of images is greater than a first predetermined value or not, calculating whether or not the amount of images of the user in the region of interest (ROI) is greater than a second predetermined value, and calculating whether or not the amount of images of the user not in the ROI is greater than a third predetermined value, in order to determine the postures of the user.

Image detection method and image detection device for determining posture of a user

An image detection method for determining the posture of a user includes: obtaining a reference image of the user in a region of interest (ROI); obtaining a test image of user at the ROI; executing a feature matching analysis of the test image which compares the feature parameter of the test image and the feature parameter of the reference image to determine the similarity information of the test image and the reference image; and executing a pixel distribution analysis of the test image to obtain user pixel distribution information; and determining the posture of the user based on the user similarity information and the user pixel distribution information.

A method for measuring a physiological signal is provided, including the steps of: receiving a video and performing face detection for each image frame thereof; performing photo-plethysmography (PPG) calculation and analysis on first face image for first image frame to obtain first PPG information of first regions and second PPG information of corresponding second regions; determining at least one region-of-interest (ROI) and one noise reference region according to the first PPG information and the second PPG information; generating ROI information and noise reference region information based on the ROI and the noise reference region; and performing the PPG calculation and analysis on the ROI and the noise reference region of the second face image of each subsequent second image frame and generating corresponding third PPG information; and counting the PPG information of all the image frames to calculate a measured value of a physiological signal.

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Taipei, Taiwan

Yu-Ren Lai