| Document Date: 2013-04-25 12:10:43
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City Taipei / Beijing / / Company Amazon / Netflix / User/Machine Systems / Intel / / Country Taiwan / United States / United Kingdom / China / / Currency pence / CNY / USD / / Event Analyst Recommendation / / Facility Rice University / / IndustryTerm Web visits / recommendation algorithms / software engineers / video search / web browsing / affective computing / software components / online forums / Mood-enhanced applications / mood-sharing services / energy / smartphone software system / music recommender systems / data collection tool / related systems / web browsing histories / context-aware computing / social networks / personalized services / mood journaling tool / power expensive data processing / conventional grid parameter search / phoneside software / i7 processor / motivational applications / regression algorithm / emotion-related smartphone applications / / OperatingSystem Unix / Android / / Organization Rice University / Houston / / Person Robert LiKamWa / Selection / Lin Zhong / Nicholas D. Lane / / / Position Sequential Forward / Mood logger / background logger / salesman / and one teacher / logger / representative / web editor / instant messenger / Smartphone Interaction Logger / / Product iPhone / MoodScope / iPad / Sequential Forward / / ProgrammingLanguage MATLAB / Perl / / Technology smartphone system / recommendation algorithms / SMS / Unix / API / Smartphone / GPS / regression algorithm / Perl / machine learning / Android / i7 processor / Wi-Fi / mobile devices / smartphones / SFS algorithm / GUI / /
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MoodScope: Building a Mood Sensor from Smartphone Usage Patterns Robert LiKamWa†‡, Yunxin Liu‡, Nicholas D. Lane‡, Lin Zhong† † Rice University, Houston, TX