가속도 센서 기반의 신체 부착형 플랫폼을 이용한 운동 인식
DC Field | Value | Language |
---|---|---|
dc.contributor.author | 김주형 | - |
dc.contributor.author | 이정엄 | - |
dc.contributor.author | 박용찬 | - |
dc.contributor.author | 박귀태 | - |
dc.contributor.author | 김대환 | - |
dc.date.accessioned | 2021-09-08T21:45:21Z | - |
dc.date.available | 2021-09-08T21:45:21Z | - |
dc.date.created | 2021-06-18 | - |
dc.date.issued | 2009 | - |
dc.identifier.issn | 1229-2443 | - |
dc.identifier.uri | https://scholar.korea.ac.kr/handle/2021.sw.korea/121011 | - |
dc.description.abstract | u-Healthcare service is one of attractive applications in ubiquitous environment. In this paper, we propose a method to recognize exercises using a new accelerometer based body-attached platform for supporting u-Healthcare service. The platform consists of a device for measuring accelerometer data and a device for receiving the data. The former measures a user's motion data using a 3-axis accelerometer. The latter transmits the accelerometer data to a computer for recognizing the user's exercise. The algorithm for exercise recognition classifies the type of exercise using principle components analysis(PCA) from the accelerometer data transformed by discrete fourier transform(DFT), and estimates the repetition count of the recognized exercise using a peak detection algorithm. We evaluate the performance of the algorithm from the accuracy of the recognition of exercise type and the error rate of the estimation of repetition count. In our experimental result, the algorithm shows the accuracy about 98%. | - |
dc.language | Korean | - |
dc.language.iso | ko | - |
dc.publisher | 대한전기학회 | - |
dc.title | 가속도 센서 기반의 신체 부착형 플랫폼을 이용한 운동 인식 | - |
dc.title.alternative | Exercise Recognition using Accelerometer Based Body-Attached Platform | - |
dc.type | Article | - |
dc.contributor.affiliatedAuthor | 박귀태 | - |
dc.identifier.bibliographicCitation | 전기학회논문지ABCD, v.58, no.11, pp.2275 - 2280 | - |
dc.relation.isPartOf | 전기학회논문지ABCD | - |
dc.citation.title | 전기학회논문지ABCD | - |
dc.citation.volume | 58 | - |
dc.citation.number | 11 | - |
dc.citation.startPage | 2275 | - |
dc.citation.endPage | 2280 | - |
dc.type.rims | ART | - |
dc.identifier.kciid | ART001389059 | - |
dc.description.journalClass | 2 | - |
dc.subject.keywordAuthor | u-Healthcare service | - |
dc.subject.keywordAuthor | Accelerometer | - |
dc.subject.keywordAuthor | Exercise recognition | - |
dc.subject.keywordAuthor | Principle components analysis | - |
dc.subject.keywordAuthor | u-Healthcare service | - |
dc.subject.keywordAuthor | Accelerometer | - |
dc.subject.keywordAuthor | Exercise recognition | - |
dc.subject.keywordAuthor | Principle components analysis | - |
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