Inferring Mobile User Status with Usage Cues
QUARTOS ONLINE COURSES - WEARABLES

Course Description:
An online inference engine monitors and extracts usage cues from wearables and identifies whether the user is busy, alone, happy, or stressed. Experiments show 85 percent identification accuracy with negligible energy cost.

Format: Asynchronous
Nominal duration: Self-paced Learning – Approximate Time: 1 hour
Professional Development Hours (PDH) : 1
Continuing Education Credits (CEU) : 0.1

Quartos Online Courses

Quartos are peer reviewed, online learning modules that quickly bring you up-to-date on the latest developments in a specific technology. Take advantage of this new learning resource from the IEEE Computer Society.

 

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