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Published byPaul Hubbard Modified over 9 years ago
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모바일 지능 소개 조성배
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발표 순서 4 배경 – 모바일 지능 개요 4 관련 기술 –Logging –Analysis –Learning & Inference –System Architecture 4 Applications
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모바일 디바이스 개발 추세
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모바일 지능 - 개요 GPS Call SMS 사진 Device MP3 마이닝 모델링 해석 추론 학습 특이성 추출 시맨틱 표현 의미 이해 에피소딕 메모리 정보 생성 정보추천 정보검색 정보관리 Context-aware service Query by memory fraction - 로그수집 / 가공 도구 - 랜드마크 추출엔진 - 모바일 모델링 라이브러리 - 모바일 추론학습 엔진 - 모바일 해석엔진 - 대화 인터페이스 - 모바일 검색엔진 - 아바타 생성 / 제어도구 로그 수집
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모바일 지능 – 핵심 기술
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BlueTooth 4 Wireless protocol in the 2.40~2.48 GHz 4 Short-range RF network (5~10 meters) Bluetooth Detecting S/W Placed Bluetooth Detecting Device with Wireless Transmission Logging
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SenseCAM 4 Microsoft Research 4 2000 VGA Images per day 4 Sensor data (Movement, light level, and temperature) 4 Black Box for human body 4 Triggering taking a picture –Light change –Time, sudden movement, person nearby 4 Reduce blurred images Logging
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ContextPhone 4 Nokia 60 series 4 Open Source Logging
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Photo Analysis [O’Sullivan 2006] 4 Who, When, Where 4 Bluetooth : Who was nearby 4 GPS 4 Counting & locating subjects –Open Computer Vision Library 4 Suggesting identities Analysis
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Face Identification [Davis 2006] 4 Exploiting context information with face recognition algorithm 4 11 users over 9 months: 1057 photos (1402 faces) Recall Precision Analysis Contexts
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PhotoWhere Analysis Web page parsing & Ranking terms
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SenSay Learning & Inference 1) Sensor-Context Mapping 2) Context-Action Mapping 1) Sensor-Context Mapping (SOM) 2) Context-Action Mapping (BN)
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MIT Reality Mining Group 4 Behavior modeling & prediction using simple hidden Markov model –Separation of {office}, {home}, {elsewhere} with > 95% accuracy 4 Relationship Inference –Gaussian mixture model : patterns in proximity between users type of relationships {Workplace colleagues}, {outside friends}, {people within a user’s circle of friends} with > 90% accuracy –Inclusion of communication logs + SVM : more powerful Learning & Inference
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Mobile Intelligence [Eric Horvitz 2005] 4 Embedded Intelligence –Embed reasoning machinery or compiled policies in small, portable devices that perform local, real-time sensing 4 Streaming Intelligence –Policies, recommendations, and information can be streamed from server-based learning and reasoning systems to portable devices, based on information from the devices and other sources System Architecture
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Embedded Intelligence Car Navigation BayesPhone AniDiary SenSay System Architecture
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Streaming Intelligence JamBayes INCA ComicDiary Serendipity System Architecture
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NOKIA LifeBlog Applications
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MIT LifeLog Applications
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Integration of LifeNet to LifeLog Applications
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Sources of MyLifeBits Applications
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MyLifeBits Applications
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Stuff I’ve Seen (MS Research) Applications
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SKT 1mm Applications 검색 대화 위치기반 지식 검색
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