Invention Grant
- Patent Title: Non linear predictive model for haptic waveform generation
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Application No.: US16841113Application Date: 2020-04-06
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Publication No.: US11238709B2Publication Date: 2022-02-01
- Inventor: Emmanuel Marchais , Eric Lindemann , Carl L. Stahl
- Applicant: Cirrus Logic International Semiconductor Ltd.
- Applicant Address: GB Edinburgh
- Assignee: Cirrus Logic International Semiconductor Ltd.
- Current Assignee: Cirrus Logic International Semiconductor Ltd.
- Current Assignee Address: GB Edinburgh
- Agent E. Alan Davis; James W. Huffman
- Main IPC: G08B6/00
- IPC: G08B6/00 ; G06F3/01

Abstract:
A system includes a sequencer that divides a reference waveform into reference sequences, a sequence adjuster, and a model that models non-linearities of a haptic rendering signal chain that includes a haptic transducer load and a driver to the load. For each reference sequence: the sequence adjuster transforms the reference sequence into a test sequence using one or more parameters (e.g., changes reference sequence amplitude and/or period), the model generates an output in response to the test sequence, an error signal is generated that measures a difference between the output and the reference sequence, and if the error signal is above a threshold the parameters are adjusted based on the error signal. These operations are repeated until the error signal is below the threshold in which case the test sequence becomes a selected sequence, which is then sent to the haptic rendering signal chain.
Public/Granted literature
- US20200342724A1 NON LINEAR PREDICTIVE MODEL FOR HAPTIC WAVEFORM GENERATION Public/Granted day:2020-10-29
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