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- W647470485 abstract "Abstract : This thesis serves as an exploration that takes the sensors within a cell phone beyond the current state of recognition activities. Current state of the art sensor recognition processes tend to focus on recognizing user activity. Utilizing the same sensors available for user activity classi cation, this thesis validates the ability to gather data about entities separate from the user carrying the smart phone. With the ability to sense entities, the ability to recognize and classify a multitude of items, situations, and phenomena opens a new realm of possibilities for how devices perceive and react to their environment." @default.
- W647470485 created "2016-06-24" @default.
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- W647470485 date "2015-03-26" @default.
- W647470485 modified "2023-09-24" @default.
- W647470485 title "Entity Recognition via Multimodal Sensor Fusion with Smart Phones" @default.
- W647470485 hasPublicationYear "2015" @default.
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