운동량 분석을 위한 데이터 마이닝 시스템 모델
(주)코리아스칼라
- 최초 등록일
- 2023.04.05
- 최종 저작일
- 2013.11
- 8페이지/ 어도비 PDF
- 가격 4,000원
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서지정보
ㆍ발행기관 : 대한안전경영과학회
ㆍ수록지정보 : 대한안전경영과학회 학술대회
ㆍ저자명 : 이순근, 임영문
영어 초록
Globally, smart phones have been rapidly distributed, which has led to changes in people's life cycle. Most people who are under 60 are supposed to use smart phones. Additionally, as the ratio of people who are interested in physical exercise is increasing, some applications for smart phones can manage dividual's exercise with the web servers. However, most of them can only check how much individual works out and cannot compare other's body type and life environment. Moreover, users cannot share their own data with others. This paper proposed the system which can resolve those kinds of problems through data mining techniques. The suggested model will have ability to figure out the relation between body type and the amount of exercise, find out if his work is proper from the result of classification and can pick out the features which is common to people who have similar body type and the amount of workout by applying data mining techiques. This model also will be able to recommend the proper amount of workout to each individual in order that they keep good health state efficiently.
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