Weakly supervised learning for improving multimodal sensing platform

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United States of America Patent

PATENT NO 11580421
SERIAL NO

16655031

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Abstract

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A machine learning model is trained for user activity detection and context detection on a mobile device. The machine learning model is configured to learn a statistical relationship between an always-on sensing modality of the mobile device and actual user context. Rather than user annotations, the machine learning model is enhanced and personalized for the always-on sensing modality by automated annotations obtained from non-always-on sensing modalities. The non-always-on sensing modality opportunistically provides an imperfect label of user context, where the imperfect label has a known associated probability of error.

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Patent Owner(s)

  • QUALCOMM INCORPORATED

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Inventor(s)

Inventor Name Address # of filed Patents Total Citations
Kulkarni, Rashmi Menlo Park, US 23 164
McGloin, Justin Los Altos, US 13 86
Teng, Diyan Santa Clara, US 15 5

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