IP Library Granted Patent US 12,198,536
Granted Patent B2
US 12,198,536 · App. 18/122,786 · Granted Jan 14, 2025

Factory and user calibration of haptic systems

Inventors: Jianxun Wang (Sunnyvale, CA); Debanjan Mukherjee (San Jose, CA)
Assignee: Google LLC
G08B6/00H02P25/032
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Quick Facts
Patent No.
US 12,198,536
App. No.
18/122,786
Granted
Jan 14, 2025
Kind
B2
Abstract

Methods and systems for calibrating a haptic system in an electronic device are provided. The calibration of the haptic system may be performed in a facility prior to a shipment to a user. The calibration may also be performed by a user prior to or after his/her use of the haptic system in the electronic device over time. A method for performing a calibration process in an electronic device includes generating a drive signal from a haptic driver in a haptic system disposed in an electronic device, transmitting the drive signal to an actuator in the haptic system, detecting a back Electromotive Force (bEMF) signal from the actuator in the haptic system, analyzing an output waveform from the bEMF signal, and adjusting a scale of the drive signal generated from the haptic driver.

Claims (37)

1. A method, comprising:

detecting a stationary state of an electronic device including a haptic system;

performing a calibration process for the electronic device, the calibration process including:

comparing an output waveform from a back Electromotive Force (bEMF) signal from an actuator in the haptic system with a reference standard comprising a scale for a target sinusoidal waveform set for the bEMF signal; and

adjusting, based on the comparison, a scale of a drive signal generated from a haptic driver in the haptic system to calibrate the haptic system; and

storing the adjusted scale in a memory of the electronic device as a new reference standard for future calibration.

2. The method of claim 1 , wherein the calibration process further comprises:

generating the drive signal from the haptic driver in the haptic system;

transmitting the drive signal to an actuator in the haptic system;

detecting the bEMF signal from the actuator in the haptic system; and

analyzing the output waveform from the bEMF signal, wherein the output waveform from the bEMF signal comprises a sinusoidal waveform.

3. The method of claim 1 , further comprising repeatedly performing the calibration process until the output waveform matches the target sinusoidal waveform set.

4. The method of claim 1 , wherein adjusting the scale of the drive signal further comprises adjusting an amplitude of the output waveform.

5. The method of claim 4 , further comprising altering a haptic output generated from the actuator in the haptic system.

6. The method of claim 1 , further comprising receiving an input signal applied to the haptic system to generate the drive signal.

7. The method of claim 6 , wherein the input signal is applied by a user.

8. The method of claim 6 , wherein the input signal is applied by a working staff in a factory.

9. The method of claim 1 , wherein the drive signal is in direct communication with the actuator disposed in close proximity to the haptic driver in the haptic system.

10. The method of claim 1 , wherein the drive signal is a voltage signal or a current signal.

11. The method of claim 1 , wherein the calibration process is performed in an electronic device.

12. The method of claim 11 , wherein the electronic device is a wearable device or a portable device.

13. A method for performing a calibration process in an electronic device, comprising:

tracking a haptic output from an actuator in a haptic system;

comparing an output waveform of a back Electromotive Force (bEMF) signal from the actuator in the haptic system with a reference standard comprising a scale for a target sinusoidal waveform set for the bEMF signal;

adjusting, based on the comparison, a scale of the haptic output to calibrate the haptic system; and

storing the adjusted scale of the haptic output in a memory device in the electronic device as a new reference standard for future calibration.

14. The method of claim 13 , wherein tracking the haptic output further comprises generating a drive signal to the actuator to detect the bEMF signal comprising a sinusoidal waveform from the actuator.

15. The method of claim 14 , further comprising adjusting a voltage or current applied to a haptic driver in the haptic system in response to the sinusoidal waveform from the tracked haptic output.

16. The method of claim 13 , wherein the haptic system is embedded in the electronic device.

17. The method of claim 13 , further comprising repeatedly performing the steps of tracking the haptic output, comparing the output waveform with the target sinusoidal waveform, and adjusting the scale of the haptic output until the output waveform matches the target sinusoidal waveform.

18. An electronic device comprising:

a haptic system disposed in an electronic device, the haptic system comprising:

a haptic driver; and

an electromagnetic (EM) actuator disposed in close proximity to the haptic driver, wherein the electromagnetic (EM) actuator is configured to generate a back Electromotive Force (bEMF) signal comprising sinusoidal waveform when actuated for a calibration process of the haptic system; and

a memory configured to store an adjusted scale of the haptic system as a new reference standard for future calibration.

19. The electronic device of claim 18 , wherein detection of the bEMF signal for the calibration process is repeatedly performed until a target sinusoidal waveform is obtained.

20. The electronic device of claim 18 , wherein the electronic device is a wearable device or a portable device.

Assignments (1)
ASSIGNMENT OF ASSIGNOR'S INTEREST Recorded Mar 17, 2023
From: WANG, JIANXUN; MUKHERJEE, DEBANJAN
To: GOOGLE LLC
Reel/Frame 063018/0287 →
Continuity (2)
Continuation 16846468 · Apr 13, 2020
Related Publication 20230222882A1 · Jul 13, 2023
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