Industrial Technology Research Institute

Rong-Rong Chen

Tung-Hung Lu

Yueh-Hsuan Lee

Jong-Shyan Wang

Yi-Fei Luo

Ming-Chieh Tsai

Shu-Yuan Chang

Tsung-Hua Li

Hsueh-Lin Chen

Hui-Chen Ku

Hsing-Hua Tsai

Li-Zen Lin

Provided is a heart rate activity detecting method based on dynamic images. The method includes tracking a moving object. Preset brightness is determined based on an ambient condition. An image of the moving object is captured to generate a corresponding RGB color space, which is then converted to an image color space with adjustable brightness. The brightness of the image color space is adjusted according to the preset brightness to generate an image with corrected brightness, which is then converted to a RGB color space with the corrected brightness for calculating a heart rate activity of the moving object. The disclosure is capable of addressing the issue of an unstable light source by adjusting the brightness of the dynamic images, and then calculating the heart rate activity of the moving object according to the dynamic images. A heart rate activity detecting system based on dynamic images is also provided.

Heart rate activity detecting system based on dynamic images and method thereof

The present disclosure provides an exercise guiding system including a sensing module, a calculating module, a converting module and an output module. The sensing module keeps recording an R-R interval of a user doing exercise. The computing module receives the R-R interval from the sensing module and performs heart rate variability analysis on the R-R interval to generate a first output. The converting module receives the first output from the calculating module, recognizes a threshold output of the first output according to a threshold and acquires an anaerobic threshold corresponding to the user according to the threshold output, wherein the anaerobic threshold corresponding to the user is a first heart rate corresponding to the threshold output in the R-R interval. The output module receives the anaerobic threshold from the converting module and outputs an exercise guidance of the user according to the anaerobic threshold.

Exercise guiding system, exercise guiding method and anaerobic threshold measuring method

An exercise bike and an operation method thereof are provided. In a test mode, a processing unit adjusts a resistance of a pedaling activity to be a plurality of pedaling resistances and obtains a plurality of psychological values respectively corresponding to the pedaling resistances by inquiring the user about a rate of perceived exertion. The processing unit calculates the psychological values to obtain a plurality of exercise intensities respectively corresponding to the pedaling resistances and further obtain a correspondence relationship between the exercise intensities and the pedaling resistances. After the test mode ends, the processing unit determines a recommended pedaling resistance according to the correspondence relationship. In a sport mode, the recommended pedaling resistance is provided to the user for performing the pedaling activity. The exercise bike determines the recommended pedaling resistance according to the user's physiological characteristics and/or a rate of perceived exertion regarding a physical activity.

Exercise bike and operation method thereof

An apparatus and method based on image for detecting heart rate activity is provided. The method includes: obtaining a plurality of color images; based on a complexion target condition, defining a target region; performing color composition analysis on the target region to obtain red channel signal, green channel signal and blue channel signal, respectively; performing independent component analysis on separate red, green and blue channel signals to obtain separate first independent component signal, second independent component signal and third independent component signal; performing frequency domain transform, signal energy computation and signal optimization processes on separate first, second and third independent component signals to obtain a filter signal, comparing filter signal based on a pre-set condition to determine if target region belonging to a human, and performing a physiological information analysis.

Apparatus based on image for detecting heart rate activity and method thereof

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Taipei, Taiwan

Rong-Rong Chen