Disclosed is a method for behavior pattern analysis, in which the behavior signals of a subject are continuously detected using tri-axis accelerator, and the behavior signals are divided as a plurality of time windows based on a predetermined time length. The plurality of time windows are configured as an X-Y matrix, and cross analysis is performed on the time windows at X-axis and Y-axis to obtain a plurality of correlation coefficients as being the preferred correlation values. A pattern with bright spots and dark spots is plotted according to the preferred correlation values, and behavior pattern is evaluated from the number and distribution of bright spots and the pattern. The behavior consistency of a subject can be efficiently evaluated, and his/her behavior abnormality, disease development or other situations can be determined accordingly.本發明揭露一種行為樣式分析方法,係以三軸加速度訊號偵測器連續地偵測身體的行為訊號,再依據一固定時間長度將行為訊號切分為n個分析窗,並將n個分析窗排列為XY軸矩陣。交叉分析X軸的n個分析窗與Y軸的n個分析窗獲得複數個最佳相關值。根據複數個最佳相關值繪製具有亮點及暗點的圖譜,藉由亮點數量、分布、圖譜圖案評估行為樣式。本發明可有效評估受試者之行為一致性,並可推斷出受試者是否行為異常、罹患疾病或其他情況。1...偵測訊號2...分析窗3...矩陣
