Invention Grant
- Patent Title: Machine learning configurations modeled using contextual categorical labels for biosignals
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Application No.: US18355659Application Date: 2023-07-20
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Publication No.: US12135837B2Publication Date: 2024-11-05
- Inventor: Erdrin Azemi , Joseph Yitan Cheng , Hanlin Goh
- Applicant: Apple Inc.
- Applicant Address: US CA Cupertino
- Assignee: Apple Inc.
- Current Assignee: Apple Inc.
- Current Assignee Address: US CA Cupertino
- Agency: Kilpatrick Townsend & Stockton LLP
- Main IPC: G06F3/01
- IPC: G06F3/01 ; G06N3/04 ; G06N20/00

Abstract:
Techniques are disclosed for defining a training data set to include biosignals and categorical labels representative of a context. For example, a categorical label may indicate whether a user was performing a difficult or easy mental task while the biosignal was being recorded. A set of first layers in a neural network can be trained using a portion of the training data set associated with a first set of users and at least one second layer can be trained using a portion of the training data set associated with a particular other user. The neural network can then be used to process other biosignals from the particular other user to generate predicted categorical context labels.
Public/Granted literature
- US20240012480A1 MACHINE LEARNING CONFIGURATIONS MODELED USING CONTEXTUAL CATEGORICAL LABELS FOR BIOSIGNALS Public/Granted day:2024-01-11
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