The application of using the SVM classifier in medical care- use the smartphone with triaxial accelerometer for the posture recognitionFu-Sung ChangInstitute of Information ManagementThe application of using the SVM classifier in medical care- use the smartphone with triaxial accelerometer for the posture recognitionFu-Sung ChangInstitute of Information ManagementThe application of using the SVM classifier in medical care- use the smartphone with triaxial accelerometer for the posture recognitionFu-Sung ChangInstitute of Information ManagementThe application of using the SVM classifier in medical care- use the smartphone with triaxial accelerometer for the posture recognition
碩士 === 國立高雄應用科技大學 === 資訊管理系 === 100 === disease. The purpose of this research is aimed to use single 3 axis accelerometer which embedded in smart phone to develop an activity recognition system. It can detected and take down the 8 types of human daily activity and their duration. Besides, the user w...
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| Format: | Others |
| Language: | zh-TW |
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2012
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| Online Access: | http://ndltd.ncl.edu.tw/handle/02122812595966846129 |
| Summary: | 碩士 === 國立高雄應用科技大學 === 資訊管理系 === 100 === disease. The purpose of this research is aimed to use single 3 axis accelerometer which embedded in smart phone to develop an activity recognition system. It can detected and take down the 8 types of human daily activity and their duration. Besides, the user will be rewarded the record as a diet basis. It can be a self-exercise manager platform, moreover, can be used by medical organization. Through this system, doctor can provide user appropriate exercise suggestion which will help user to form exercise habit, and lower the morbidity of chronic disease. Finally, this research evaluated the performance of the classifier in practical experiment. Our result have successfully validated: 1) the effectiveness of feature selection 2) recognition capability of the classifier and achieve satisfactory performance for human activity recognition.
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