Vehicle manipulation with convolutional image processing
AssigneeAffectiva, Inc.
InventorsPanu James Turcot, Rana el Kaliouby, Abdelrahman N. Mahmoud, Seyedmohammad Mavadati
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AssigneeAffectiva, Inc.
InventorsPanu James Turcot, Rana el Kaliouby, Abdelrahman N. Mahmoud, Seyedmohammad Mavadati
Estimating the term…
Disclosed embodiments provide for vehicle manipulation with convolutional image processing. The convolutional image processing uses a multilayered analysis engine. A plurality of images is obtained using an imaging device within a first vehicle. A multilayered analysis engine is trained using the plurality of images. The multilayered analysis engine includes multiple layers that include convolutional layers and hidden layers. The evaluating provides a cognitive state analysis. Further images are evaluated using the multilayered analysis engine. The further images include facial image data from one or more persons present in a second vehicle. Manipulation data is provided to the second vehicle based on the evaluating the further images. An additional plurality of images of one or more occupants of one or more additional vehicles is obtained. The additional images provide opted-in, crowdsourced image training. The crowdsourced image training enables retraining the multilayered analysis engine.
A computer-implemented method for vehicle manipulation comprising:
A computer program product embodied in a non-transitory computer readable medium for vehicle manipulation, the computer program product comprising code which causes one or more processors to perform operations of:
A computer system for vehicle manipulation comprising:
Dependencies are inferred from the claim text.