Identifying Complex Activities With Mobile Phones
Interaction design teams in Japan with the KDDI R&D Laboratory have developed algorithms for identifying the nature of activity a user is engaged in.
Interaction design teams in Japan with the KDDI R&D Laboratory have developed algorithms for identifying the nature of activity a user is engaged in, determined by the accelerometer data of their mobile device. While current mobile phones can easily distinguish between basic movements like walking and running, the KDDI team has developed a back-end analytical server that syncs with a phone to compute more complex behaviors like “using dustpan” or “sweeping” while cleaning. The system begins with manual input of activities, but becomes more aware of tasks as data is accumulated over time.
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