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Development of a life-logging platform using smart devices and its applications : 스마트폰과 웨어러블 기반의 라이프 로깅 플랫폼 및 그 응용
DC Field | Value | Language |
---|---|---|
dc.contributor.advisor | 오성회 | - |
dc.contributor.author | 김현준 | - |
dc.date.accessioned | 2017-07-14T02:45:27Z | - |
dc.date.available | 2017-07-14T02:45:27Z | - |
dc.date.issued | 2017-02 | - |
dc.identifier.other | 000000142686 | - |
dc.identifier.uri | https://hdl.handle.net/10371/122871 | - |
dc.description | 학위논문 (석사)-- 서울대학교 대학원 : 전기·정보공학부, 2017. 2. 오성회. | - |
dc.description.abstract | With the advance in sensing and related technology, smartphone and wearable device
became the important machine for peoples convenient life with extensive data of user information like location or motion. These data are closest data from the user, collected literally on users hand. So using smart devices, we can figure out users status and log users daily life pattern more precisely. Applications about life-logging with smart device are got attention in this context. We propose life-logging framework which collects as various data as possible. In our framework, we propose not smartphone life-logging platform only or wearable life-logging platform only, but, an integrated life-logging platform that uses both of them. Proposed platform collect many data as possible with protecting generality, which means that user of various OS version can use this platform. Our platform can be applied in many application like a psychological experiment. To prove our platform is adaptable to many examples, in this thesis, we propose also inferring mood application that infers users current change of mood such that activeness-whether he or she is more active or less active than past- or happiness. We collected Application extracts features from collected data using proposed method. | - |
dc.description.tableofcontents | 1 INTRODUCTION 1
2 Preliminaries 5 2.1 Decision Tree Learning 5 2.2 Random Forest 7 3 Life-logging Platform 12 3.1 Smartphone 13 3.1.1 Design 14 3.1.2 Services 14 3.2 Wearable Device 20 3.2.1 Sensing application 21 3.2.2 Survey application 23 4 Example : Mood Inference 26 4.1 Data Collect 26 4.2 Mood Inference 29 4.2.1 Feature Extract 29 4.2.2 Inferring 33 4.2.3 Result 35 5 Conclusion 37 Abstract (In Korean) 41 | - |
dc.format | application/pdf | - |
dc.format.extent | 958384 bytes | - |
dc.format.medium | application/pdf | - |
dc.language.iso | en | - |
dc.publisher | 서울대학교 대학원 | - |
dc.subject | 스마트폰 | - |
dc.subject | 웨어러블 | - |
dc.subject | 라이프로깅 | - |
dc.subject | 감정추론 | - |
dc.subject.ddc | 621 | - |
dc.title | Development of a life-logging platform using smart devices and its applications | - |
dc.title.alternative | 스마트폰과 웨어러블 기반의 라이프 로깅 플랫폼 및 그 응용 | - |
dc.type | Thesis | - |
dc.contributor.AlternativeAuthor | Hyunjun Kim | - |
dc.description.degree | Master | - |
dc.citation.pages | 42 | - |
dc.contributor.affiliation | 공과대학 전기·정보공학부 | - |
dc.date.awarded | 2017-02 | - |
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