IP Library Granted Patent US 12,632,542
Granted Patent B1
US 12,632,542 · App. 18/053,782 · Granted May 19, 2026

Systems and methods for detecting user incapacitated states for securing a mobile device against unintended use

Inventors: Lei Gu (Bedford, MA); Michael Shavell (Merrimack, NH)
Assignee: Gen Digital, Inc.
G06F21/554G06F2221/034
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Quick Facts
Patent No.
US 12,632,542
App. No.
18/053,782
Granted
May 19, 2026
Kind
B1
Abstract

The disclosed computer-implemented method for detecting user incapacitated states for securing a mobile device against unintended use may include (i) monitoring sensor data generated for a current user of the mobile device, (ii) detecting, based on the sensor data, an incapacitated state associated with the current user, and (iii) performing a security action that protects against unintended use of the mobile device by disabling access to device functionality when the current user is in the incapacitated state. Various other methods, systems, and computer-readable media are also disclosed.

Claims (46)

1 . A computer-implemented method for detecting user incapacitated states for securing a mobile device against unintended use, at least a portion of the method being performed by at least one processor, the method comprising:

monitoring, by a sensor module of the mobile device, sensor data generated for a current user of the mobile device;

detecting, by the mobile device and based on the sensor data, an incapacitated state associated with the current user;

performing, by the mobile device, a security action that protects against unintended use of the mobile device by disabling device functionality of the mobile device when the current user is in the incapacitated state, wherein disabling the device functionality includes disabling a biometric method for unlocking the mobile device from a locked state, disabling access to financial account information associated with the current user, and disabling a wireless communication of the mobile device;

determining, by the mobile device, a termination of the incapacitated state based on updated sensor data monitored by the sensor module that indicates that the updated sensor data has returned to baseline values; and

restoring, by the mobile device, the device functionality of the mobile device in response to determining the termination of the incapacitated state by reenabling the previously disabled biometric method, the previously disabled access to the financial account information, and the previously disabled wireless communication.

2 . The computer-implemented method of claim 1 , wherein monitoring the sensor data comprises receiving biometric data associated with the current user from one or more mobile device sensors.

3 . The computer-implemented method of claim 1 , wherein monitoring the sensor data comprises receiving motion data associated with the current user from one or more mobile device sensors.

4 . The computer-implemented method of claim 1 , wherein detecting, based on the sensor data, the incapacitated state associated with the current user comprises analyzing the sensor data to identify an impaired physical condition.

5 . The computer-implemented method of claim 1 , wherein detecting, based on the sensor data, the incapacitated state associated with the current user comprises analyzing the sensor data to identify an impaired mental condition.

6 . The computer-implemented method of claim 1 , wherein performing the security action comprises generating an alert comprising a notification of the incapacitated state for a designated party associated with the current user.

7 . The method of claim 1 , wherein determining the termination of the incapacitated state is based on at least one of updated sensor data and identifying a manual entry of a device passcode.

8 . The method of claim 1 , wherein disabling access to the financial account information associated with the current user further comprises at least one of:

disabling financial account creation;

disabling financial account access; or

disabling financial account spending.

9 . A system for detecting user incapacitated states for securing a mobile device against unintended use, the system comprising:

at least one physical processor; and

physical memory comprising computer-executable instructions and one or more modules that, when executed by the physical processor, cause the physical processor to:

monitor, by a sensor module of the mobile device, sensor data generated for a current user of the mobile device;

detect, by a detection module of the mobile device and based on the sensor data, an incapacitated state associated with the current user;

perform, by a security module of the mobile device, a security action that protects against unintended use of the mobile device by disabling device functionality of the mobile device when the current user is in the incapacitated state, wherein disabling the device functionality includes disabling a biometric method for unlocking the mobile device from a locked state, disabling access to financial account information associated with the current user, and disabling a wireless communication of the mobile device;

determine, by the security module, a termination of the incapacitated state based on updated sensor data monitored by the sensor module that indicates that the updated sensor data has returned to baseline values; and

restore, by the security module, the device functionality of the mobile device in response to determining the termination of the incapacitated state by reenabling the previously disabled biometric method, the previously disabled access to the financial account information, and the previously disabled wireless communication.

10 . The system of claim 9 , wherein the sensor module monitors the sensor data by receiving biometric data associated with the current user from one or more mobile device sensors.

11 . The system of claim 9 , wherein the sensor module monitors the sensor data by receiving motion data associated with the current user from one or more mobile device sensors.

12 . The system of claim 9 , wherein the detection module detects, based on the sensor data, the incapacitated state associated with the current user by analyzing the sensor data to identify an impaired physical condition.

13 . The system of claim 9 , wherein the detection module detects, based on the sensor data, the incapacitated state associated with the current user by analyzing the sensor data to identify an impaired mental condition.

14 . The system of claim 9 , wherein the security module determines the termination of the incapacitated state based on at least one of updated sensor data and identifying a manual entry of a device passcode.

15 . The system of claim 9 , wherein disabling access to the financial account information associated with the current user further comprises at least one of:

disabling financial account creation;

disabling financial account access; or

disabling financial account spending.

16 . A non-transitory computer-readable medium comprising one or more computer-executable instructions that, when executed by at least one processor of a computing device, cause the computing device to:

monitor, using a sensor module of the computing device, sensor data generated for a current user of the computing device;

detect, by the computing device based on the sensor data, an incapacitated state associated with the current user;

perform, by the computing device, a security action that protects against unintended use of the computing device by disabling device functionality of the computing device when the current user is in the incapacitated state, wherein disabling the device functionality includes disabling a biometric method for unlocking the computing device from a locked state, disabling access to financial account information associated with the current user, and disabling a wireless communication of the computing device;

determine, by the computing device, a termination of the incapacitated state based on updated sensor data monitored by the sensor module that indicates that the updated sensor data has returned to baseline values; and

restore, by the computing device, the device functionality of the computing device in response to determining the termination of the incapacitated state by reenabling the previously disabled biometric method, the previously disabled access to the financial account information, and the previously disabled wireless communication.

17 . The non-transitory computer-readable medium of claim 16 , wherein monitoring the sensor data comprises receiving biometric data associated with the current user from one or more mobile device sensors.

18 . The non-transitory computer-readable medium of claim 16 , wherein performing the security action comprises generating an alert comprising a notification of the incapacitated state for a designated party associated with the current user.

19 . The non-transitory computer-readable medium of claim 16 , wherein determining the termination of the incapacitated state is based on at least one of updated sensor data and identifying a manual entry of a device passcode.

20 . The non-transitory computer-readable medium of claim 16 , wherein disabling access to the financial account information associated with the current user further comprises at least one of:

disabling financial account creation;

disabling financial account access; or

disabling financial account spending.

Assignments (1)
CHANGE OF NAME Recorded Feb 6, 2023
From: NORTONLIFELOCK INC.
To: GEN DIGITAL INC.
Reel/Frame 062714/0605 →
References Cited (27)
US 9846999B1 · Pickover · 2017 [cited by examiner]
US 11032137B2 · Park · 2021 [cited by examiner]
US 11161409B1 · Ghannam · 2021 [cited by examiner]
US 11441916B1 · Konrardy · 2022 [cited by examiner]
US 11528355B1 · Vadamalayan · 2022 [cited by examiner]
US 11606689B1 · Mhaske · 2023 [cited by examiner]
US 20180040230A1 · Benoit · 2018 [cited by examiner]
US 20190101634A1 · Baheti · 2019 [cited by examiner]
US 20190261152A1 · Weinfield · 2019 [cited by examiner]
US 20190312967A1 · Sheng · 2019 [cited by examiner]
US 20200175782A1 · Tokman · 2020 [cited by examiner]
US 20200237277A1 · Ouyang · 2020 [cited by examiner]
US 20200285725A1 · Dong · 2020 [cited by examiner]
US 20210291650A1 · Minjeur · 2021 [cited by examiner]
US 20220176978A1 · Bastide · 2022 [cited by examiner]
US 20230373494A1 · Phelan · 2023 [cited by examiner]
US 20230409054A1 · Bradley · 2023 [cited by examiner]
US 20240043041A1 · Lopatine · 2024 [cited by examiner]
US 20240109661A1 · Holstine · 2024 [cited by examiner]
US 20240314853A1 · Krishnan · 2024 [cited by examiner]
US 20240396872A1 · Mitchell · 2024 [cited by examiner]
Michale Chung et al: “Wearable flexible sweat sensors for healthcare monitoring: a review”, J. R. Soc. Interface 16: Feb. 17, 2019, http://dx.doi.org/10.1098/rsif.2019.0217, 2019, pp. 1-15. [cited by applicant]
Zhong et al: “Wearable Sweat Loss Measuring Devices: From the Role of Sweat Loss to Advanced Mechanisms and Designs”, Advanced Science, DOI: 10.1002/advs.202103257, 2021, pp. 1-27. 2021. [cited by applicant]
Alobaidi et al: “Real-world smartphone-based gait recognition”, Computers & Security, https://doi.org/10.1016/j.cose.2021.102557, Elsevier Ltd., 2021, pp. 1-11. [cited by applicant]
Joel Snyder: “Using biometrics for authentication in Android”, https://insights.samsung.com/2021/04/21/using-biometrics-for-authentication-in-android-2/, Apr. 21, 2021, pp. 1-3. [cited by applicant]
Emily Henderson: “Adapting smartwatches to deliver information about brain states”, https://www.news-medical.net/news/20200413/Adapting-smartwatches-to-deliver-information-about-brain-states.aspx, Apr. 13, 2020, pp. 1-2. [cited by applicant]
Hsin-Liu (Cindy) Kao et al: “Phone based Gait Analysis to Detect Alcohol Usage”, UbiComp'12, Sep. 5-8, 2012, Pittsburgh, USA, ACM 978-1-4503-1224-0/12/09, 2012, pp. 1-2. [cited by applicant]