IP Library › Granted Patent US 12,189,940
Granted Patent B2
US 12,189,940 · App. 18/190,667 · Granted Jan 7, 2025

Fingerprint encoded gesture initiation of device actions

Inventors: Amit Kumar Agrawal (Bangalore, IN); Manoj Jain (Bangalore, IN); Varun Shrivastava (Bengaluru, IN)
Assignee: Motorola Mobility LLC
G06F3/04883G06F21/32G06V40/12G06V40/172
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Quick Facts
Patent No.
US 12,189,940
App. No.
18/190,667
Granted
Jan 7, 2025
Kind
B2
Abstract

Techniques for fingerprint encoded gesture initiation of device actions are described and are implementable to perform a variety of functionality based on touch-based gestures that are fingerprint encoded. For instance, a mobile device receives an input including a touch-based gesture. The mobile device generates fingerprint identity information based on the touch-based gesture, such as by a fingerprint sensor area that is operable to detect a pattern of a fingerprint in contact with the fingerprint sensor area. Based on the fingerprint identity information, the mobile device determines that the fingerprint identity information is associated with a user of the mobile device. The mobile device then performs an action that corresponds to the touch-based gesture, e.g., based on a shape of the gesture. In one example, the action includes display of a customized user interface associated with a user profile that corresponds to the touch-based gesture.

Claims (46)

1. A computing device, comprising:

a display screen with an integrated fingerprint sensor area; and

a content control module implemented at least partially in hardware and configured to:

segment the integrated fingerprint sensor area of the computing device into two or more segments, each segment associated with a respective user profile;

receive, by the integrated fingerprint sensor area, an input including a touch-based gesture to a particular segment of the two or more segments that includes a sequence of strokes to define a text string-based input;

generate fingerprint identity information based on the input by sampling two or more instances of fingerprint data at two or more spatial locations of the sequence of strokes and comparing the two or more instances of fingerprint data to one another;

determine that the fingerprint identity information is associated with a user of the computing device;

determine a user profile from a set of user profiles associated with the fingerprint identity information based on the touch-based gesture and the particular segment of the two or more segments;

infer an action for performance by the computing device based on the text string-based input defined by the sequence of strokes, the touch-based gesture being located within the particular segment, and the determined user profile; and

perform the action by the computing device, the action particular to the determined user profile.

2. The computing device as described in claim 1 , wherein the integrated fingerprint sensor area is a size of the display screen.

3. The computing device as described in claim 1 , wherein the touch-based gesture corresponds to an admin user profile that permits unrestricted use of the computing device.

4. The computing device as described in claim 1 , wherein the touch-based gesture corresponds to a limited user profile that restricts access to one or more features of the computing device.

5. The computing device as described in claim 1 , wherein the touch-based gesture is defined by a shape of a continuous user stroke to the integrated fingerprint sensor area.

6. The computing device as described in claim 1 , wherein the input is received while the computing device is in a locked state and the action includes causing the computing device to transition to an unlocked state.

7. The computing device as described in claim 1 , wherein the content control module is further configured to validate the fingerprint identity information against a facial profile of the user using facial recognition techniques.

8. A method, comprising:

segmenting, automatically and without user intervention, a fingerprint sensor area of a mobile device into two segments, the two segments including a first segment associated with a first user profile and a second segment associated with a second user profile, a size of the first segment and a size of the second segment based on a frequency of use of the first user profile relative to a frequency of use of the second user profile;

receiving, by the fingerprint sensor area of the fall mobile device, an input including a touch-based gesture to the first segment;

generating fingerprint identity information based on the touch-based gesture;

determining whether the fingerprint identity information is associated with a user of the mobile device;

determining an action for performance by the mobile device, the action based on a shape of the touch-based gesture, the touch-based gesture being located within the first segment, and the first user profile associated with the first segment; and

performing the action by the mobile device responsive to a determination that the fingerprint identity information is associated with the user of the mobile device.

9. The method as described in claim 8 , wherein the action includes initiating display of a customized user interface associated with the first user profile that corresponds to the shape of the touch-based gesture.

10. The method as described in claim 8 , wherein the action includes one or more of placing a call, launching a particular application of the mobile device, or resetting the mobile device.

11. The method as described in claim 8 , wherein the action is preconfigured by the user of the mobile device to correspond to the shape of the touch-based gesture.

12. The method as described in claim 8 , further comprising determining that the fingerprint identity information is not associated with the user of the mobile device and prohibiting performance of the action based on the determination that the fingerprint identity information is not associated with the user of the mobile device.

13. The method as described in claim 8 , wherein to generate the fingerprint identity information includes sampling the touch-based gesture at a plurality of locations to extract instances of fingerprint data and comparing the instances of fingerprint data to one another.

14. A system, comprising:

one or more processors; and

one or more computer-readable storage media storing instructions that are executable by the one or more processors to:

segment, automatically by the one or more processors, a fingerprint sensor area of a mobile device into a first segment associated with an admin user profile and a second segment associated with a limited user profile, a size of the first segment based on a frequency of use of the admin user profile relative to a frequency of use of the limited user profile;

receive, by a fingerprint sensor area of a mobile device, an input including a touch-based gesture to the first segment;

generate fingerprint identity information based on the touch-based gesture;

verify that the fingerprint identity information is associated with a user of the mobile device;

determine an action for performance by the mobile device, the action based on a shape of the touch-based gesture, the touch-based gesture being located within the first segment, and an association with the admin user profile; and

perform, responsive to verification of the fingerprint identity information, the action by the mobile device.

15. The system as described in claim 14 , wherein the action includes initiating display of a customized user interface by the mobile device based on the admin first-user profile.

16. The system as described in claim 14 , wherein the admin user profile permits unrestricted use of the mobile device and the action is an operation to launch a particular application of the mobile device.

17. The computing device as described in claim 1 , wherein the content control module is configured to sample an instance of fingerprint data from a start of a stroke of the sequence of strokes, an instance of fingerprint data from an end of the stroke, and at least one instance of fingerprint data in between the start and the end of the stroke and compare the instances of fingerprint data to one another to validate the fingerprint identity information.

18. The method as described in claim 8 , wherein the first segment corresponds to an admin user profile that permits unrestricted use of the mobile device and the second segment corresponds to a limited user profile that restricts access to one or more features of the mobile device, and the segmenting the fingerprint sensor area is based in part on a frequency of use of the admin user profile relative to use of the limited user profile.

19. The system as described in claim 14 , wherein the fingerprint sensor area is a size of a display screen of the mobile device and the first segment and the second segment, when combined, are the size of the display screen.

20. The system as described in claim 14 , the one or more processors further configured to:

receive an additional touch-based gesture to the second segment, the additional touch-based gesture having a same shape as the shape of the touch-based gesture;

determine an additional action different from the action for performance by the mobile device, the additional action based on a shape of the additional touch-based gesture, the additional touch-based gesture being located within the second segment, and an association with the limited user profile; and

perform the additional action by the mobile device.

Assignments (1)
ASSIGNMENT OF ASSIGNOR'S INTEREST Recorded Apr 3, 2023
From: AGRAWAL, AMIT KUMAR; JAIN, MANOJ; SHRIVASTAVA, VARUN
To: MOTOROLA MOBILITY LLC
Reel/Frame 063205/0770 →
Continuity (1)
Related Publication 20240329827A1 · Oct 3, 2024
References Cited (88)
US 8027518B2 · Baker · 2011 [cited by examiner]
US 9098735B2 · Cho · 2015 [cited by examiner]
US 9245166B2 · Huang · 2016 [cited by examiner]
US 9465930B2 · Alten · 2016 [cited by examiner]
US 9489127B2 · Kim · 2016 [cited by examiner]
US 9582296B2 · Arcese · 2017 [cited by examiner]
US 9652061B2 · North · 2017 [cited by examiner]
US 9697345B2 · Mo · 2017 [cited by examiner]
US 9852277B2 · Park · 2017 [cited by examiner]
US 9900422B2 · Lee · 2018 [cited by examiner]
US 9946861B2 · Yoon · 2018 [cited by examiner]
US 10055634B2 · Han · 2018 [cited by examiner]
US 10169633B2 · Mo · 2019 [cited by examiner]
US 10521579B2 · Van Os · 2019 [cited by examiner]
US 10579411B2 · Aluvala · 2020 [cited by examiner]
US 10747983B2 · Choi · 2020 [cited by examiner]
US 10990260B2 · Gorsica et al. · 2021 [cited by applicant]
US 11099719B1 · Thompson · 2021 [cited by examiner]
US 11144772B2 · Li · 2021 [cited by examiner]
US 11175833B2 · Gaillet · 2021 [cited by examiner]
US 11209961B2 · Pope · 2021 [cited by examiner]
US 11263432B2 · Othman · 2022 [cited by examiner]
US 11442753B1 · Ramanathan · 2022 [cited by examiner]
US 11803250B2 · Siu · 2023 [cited by examiner]
US 20020163506A1 · Matusis · 2002 [cited by examiner]
US 20030048260A1 · Matusis · 2003 [cited by examiner]
US 20050169503A1 · Howell · 2005 [cited by examiner]
US 20080147510A1 · Wimberly · 2008 [cited by examiner]
US 20080166028A1 · Turek · 2008 [cited by examiner]
US 20080240523A1 · Benkley · 2008 [cited by examiner]
US 20080317292A1 · Baker · 2008 [cited by examiner]
US 20090010503A1 · Mathiassen · 2009 [cited by examiner]
US 20090028395A1 · Riionheimo · 2009 [cited by examiner]
US 20090094555A1 · Viitala · 2009 [cited by examiner]
US 20090102604A1 · Madhvanath · 2009 [cited by examiner]
US 20090169070A1 · Fadell · 2009 [cited by examiner]
US 20090224874A1 · Dewar · 2009 [cited by examiner]
US 20090282258A1 · Burke · 2009 [cited by examiner]
US 20100225607A1 · Kim · 2010 [cited by examiner]
US 20100231356A1 · Kim · 2010 [cited by examiner]
US 20100240415A1 · Kim · 2010 [cited by examiner]
US 20100265204A1 · Tsuda · 2010 [cited by examiner]
US 20100302165A1 · Li · 2010 [cited by examiner]
US 20110102567A1 · Erhart · 2011 [cited by examiner]
US 20110287741A1 · Prabhu · 2011 [cited by examiner]
US 20120044156A1 · Michaelis · 2012 [cited by examiner]
US 20120299814A1 · Kwon · 2012 [cited by examiner]
US 20130097695A1 · Sipe · 2013 [cited by examiner]
US 20130129162A1 · Cheng · 2013 [cited by examiner]
US 20130169577A1 · Rofougaran · 2013 [cited by examiner]
US 20130324089A1 · Kim · 2013 [cited by examiner]
US 20140056493A1 · Gozzini · 2014 [cited by examiner]
US 20140122859A1 · Ruelas · 2014 [cited by examiner]
US 20140189850A1 · Marshall · 2014 [cited by examiner]
US 20140210728A1 · Busse · 2014 [cited by examiner]
US 20140282931A1 · Protopapas · 2014 [cited by examiner]
US 20150135108A1 · Pope · 2015 [cited by examiner]
US 20150199553A1 · Kim · 2015 [cited by examiner]
US 20150199555A1 · Kim · 2015 [cited by examiner]
US 20150205622A1 · DiVincent · 2015 [cited by examiner]
US 20150220767A1 · Yoon · 2015 [cited by examiner]
US 20150324564A1 · Sahu · 2015 [cited by examiner]
US 20150324570A1 · Lee · 2015 [cited by examiner]
US 20150363632A1 · Ahn · 2015 [cited by examiner]
US 20150371073A1 · Cho · 2015 [cited by examiner]
US 20160042166A1 · Kang · 2016 [cited by examiner]
US 20160063230A1 · Alten · 2016 [cited by examiner]
US 20160072819A1 · Chen · 2016 [cited by examiner]
US 20160085564A1 · Arcese · 2016 [cited by examiner]
US 20160124625A1 · Lawton · 2016 [cited by examiner]
US 20160217310A1 · Shah · 2016 [cited by examiner]
US 20160239649A1 · Zhao · 2016 [cited by examiner]
US 20170160922A1 · Chiarini · 2017 [cited by examiner]
US 20170213019A1 · Mao · 2017 [cited by examiner]
US 20170308294A1 · Creager · 2017 [cited by examiner]
US 20180200623A1 · Palikuqi · 2018 [cited by examiner]
US 20180224999A1 · Lee · 2018 [cited by examiner]
US 20180357386A1 · Sanjay-Gopal · 2018 [cited by examiner]
US 20190187870A1 · Bostick · 2019 [cited by examiner]
US 20190332843A1 · Li · 2019 [cited by examiner]
US 20190362129A1 · Sandhan · 2019 [cited by examiner]
US 20190386988A1 · Segura Perales · 2019 [cited by examiner]
US 20200311234A1 · Nicholson · 2020 [cited by examiner]
US 20200412703A1 · Kohli · 2020 [cited by examiner]
US 20220318353A1 · Zourob · 2022 [cited by examiner]
US 20240020367A1 · Shen · 2024 [cited by examiner]
“Xiaomi patents technology for full screen under-display fingerprint scanner”, India Today [retrieved Mar. 13, 2023]. Retrieved from the Internet <https://www.indiatoday.in/technology/news/story/xiaomi-patents-technolog… [cited by applicant]
The Leakster , “Samsung Galaxy Note 20—World's First Full Screen Fingerprint Scanner”, YouTube, uploaded by The Leakster [retrieved Mar. 13, 2023]. Retrieved from the Internet <https://www.youtube.com/watch?v=SwR6IK6JuK… [cited by applicant]