Invention Grant
- Patent Title: Machine learning-based position determination
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Application No.: US17313178Application Date: 2021-05-06
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Publication No.: US11561654B2Publication Date: 2023-01-24
- Inventor: Vasyl Mandziy , Oleksandr Karpin , Igor Kolych
- Applicant: Cypress Semiconductor Corporation
- Applicant Address: US CA San Jose
- Assignee: Cypress Semiconductor Corporation
- Current Assignee: Cypress Semiconductor Corporation
- Current Assignee Address: US CA San Jose
- Main IPC: G06F3/044
- IPC: G06F3/044 ; G06N3/04

Abstract:
An example method of determining the position value reflecting an action applied to the capacitive sensor device comprises: receive a set of capacitance values of a plurality of capacitive cells of a capacitive sensor device; determining a local maximum of the set of capacitance values; identifying a set of neural network parameters corresponding to the local maximum of the set of capacitance values; and processing the set of capacitance values by a neural network using the identified set of neural network parameters to determine a position value reflecting an action applied to the capacitive sensor device.
Public/Granted literature
- US20220365616A1 MACHINE LEARNING-BASED POSITION DETERMINATION Public/Granted day:2022-11-17
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