Disclosed herein is a fast image-based pulse detection method, which uses a camera to capture consecutive images of a human face for recognition of pulse signals, the method comprising: (1) using a camera to capture a human face image and perform the face detection (2) obtaining several consecutive face images after a preset time, the averages of R, G, and B being calculated respectively for each face image, and three sets of color-time signal being obtained after the calculation is completed (3) subjecting the three sets of color-time signal to a signal separation algorithm for producing three sets of noise-free time signal (4) subjecting these three sets of noise-free time signal to an autocorrelation-based method for generating three sets of waveform and (5) since a pulse value can be calculated using any one of these three sets of waveform, this invention proposing a calculation method to choose a correct waveform therefrom, so as to obtain a final pulse information.一種快速影像式脈搏偵測方法,係利用攝影機拍攝連續人臉影像畫面以辨識出脈搏訊號,方法包含:(1)攝影機拍攝人臉影像並進行人臉偵測;(2)經過一設定時間後獲取到連續數張的人臉影像,每張人臉影像皆計算R、G、B個別的平均值,計算完成後形成三組顏色時間訊號;(3)以一訊號分離演算法對此三組顏色時間訊號進行處理,輸出產生三組不含雜訊的時間訊號;(4)對這三組不含雜訊之時間訊號分別以自相關為主的方法計算產生三組波形;(5)由於這三組波形分別都能計算出脈搏值,本發明提出一演算方法從中選擇正確的波形,以獲得最終的脈搏資訊。S101~S105‧‧‧脈搏偵測方法架構流程