| Summary: | 碩士 === 國立雲林科技大學 === 資訊管理系碩士班 === 100 === In recent years, handheld mobile device technology is increasingly attach importance, and the ever-changing technology and internet in the smart phone functions generally have built-in gyroscopes, accelerometers, sensor, electric compass, light sensor, compared with traditional mobile phone, a broader range of applications, and can do more things than traditional phone. The gyroscope wide range of applications, such as interactive games, GPS positioning, 3D remote control, security monitoring, behavior detection. However, in the patterns of behavior analysis and differentiate, I am uncertain the use of smart phones built-in gyroscope to grab the behavioral data. This paper presents how to use the smart phone built-in gyroscope device to detectuman behavior patterns in daily life, and collect a variety of behavioral action curve using K-mean classification to classify the action of various acts, and to understand detect the action what patterns of behavior and abnormal movements. Facilitate determine the action is abnormal in the future, and the detected data can know who''s habitual action quickly.
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