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- abstractJune 2013
MoodScope: building a mood sensor from smartphone usage patterns
MobiSys '13: Proceeding of the 11th annual international conference on Mobile systems, applications, and servicesPages 465–466https://doi.org/10.1145/2462456.2483967We present MoodScope, a software system which infers the mood of its user based on how the smartphone is used. Similar to smartphone sensors that measure acceleration, light, and other physical properties, MoodScope is a "sensor" that measures the ...
- research-articleJune 2013
MoodScope: building a mood sensor from smartphone usage patterns
MobiSys '13: Proceeding of the 11th annual international conference on Mobile systems, applications, and servicesPages 389–402https://doi.org/10.1145/2462456.2464449We report a first-of-its-kind smartphone software system, MoodScope, which infers the mood of its user based on how the smartphone is used. Compared to smartphone sensors that measure acceleration, light, and other physical properties, MoodScope is a "...
- research-articleJune 2013
NuActiv: recognizing unseen new activities using semantic attribute-based learning
MobiSys '13: Proceeding of the 11th annual international conference on Mobile systems, applications, and servicesPages 361–374https://doi.org/10.1145/2462456.2464438We study the problem of how to recognize a new human activity when we have never seen any training example of that activity before. Recognizing human activities is an essential element for user-centric and context-aware applications. Previous studies ...