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Could I take your name and number, please? http://selekmusik.com/pasaje-barato-habana-madrid-c18d.pdf la habana vuelos baratos Zhong and graduate student Robert LiKamWa developed MoodSense to track how smartphone users spend their time across different activities such as email, websites and phone calls. Every couple of hours, the software asks users to rate both their happiness and their activity level on a scale of 1 to 5. Eventually, MoodSense gathers enough data to predict how users feel according to their recent activity. After the orientation period, the researchers said MoodSense could predict a person's mood with 93 percent accuracy.
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