User identification method and apparatus using lever-type door grip pattern recognition

Patent metadata

Field	Value
Publication number	US-10988111-B2
Application number	US-201715723654-A
Country	US
Kind code	B2
Filing date	Oct 3, 2017
Priority date	Dec 14, 2016
Publication date	Apr 27, 2021
Grant date	Apr 27, 2021

Abstract

A user identification method and apparatus using recognition of a grip pattern of a lever-type door are provided. The user identification method using recognition of a grip pattern of a lever-type door includes activating a sensing module disposed within a lever of a vehicle door when a smart-key is sensed. A grip pattern is then sensed using the sensing module and a user profile that corresponds to the grip pattern is identified. A user-customization module is activated in response to the identified user profile.

First claim

What is claimed is:

1. A user identification method using recognition of a grip pattern of a lever-type door, comprising:
sensing, by a controller, a grip pattern using a sensing module;
identifying, by the controller, a user profile that corresponds to the grip pattern;
activating, by the controller, a user-customization module in response to the identified user profile; and
activating, by the controller, the sensing module disposed in a lever of a vehicle door when a smart-key is detected,
wherein the grip pattern includes a grip image pattern,
wherein the lever-type door is a vehicle door and the lever is an exterior handle mounted on the vehicle door, and
wherein the grip image pattern includes a 3-dimensional (3D) image that represents gripping the exterior handle.

2. The user identification method according to claim 1 , wherein the activating of the sensing module includes:
operating, by the controller, the lever-type door in a standby state when the smart-key is detected; and
activating, by the controller, the sensing module when the lever-type door is in the standby state.

3. The user identification method according to claim 1 , wherein the identifying of a user profile that corresponds to the grip pattern includes:
searching, by the controller, for at least one previously registered user profile using the grip pattern; and
outputting, by the controller, a user profile matched to the grip pattern from among searched user profiles.

4. The user identification method according to claim 1 , wherein the grip pattern further includes at least one selected from the group consisting of: a lever pulling time, a lever release time, a lever pulling direction, and a lever pulling speed.

5. The user identification method according to claim 1 , wherein the sensing module includes a plurality of contact sensors arranged at specific intervals on a sensor board mounted in the lever.

6. The user identification method according to claim 4 , wherein the grip image pattern is transformed from coordinates of multi-touched contact sensors from among the plurality of contact sensors and formed on a 2-dimensional plane.

7. The user identification method according to claim 1 , wherein the identifying of the user profile includes:
comparing, by the controller, each grip pattern stored in the at least one previously stored user profile with the sensed grip pattern; and
identifying, by the controller, the user profile as the corresponding user profile when a deviation between the grip patterns is less than a threshold value.

8. The user identification method according to claim 7 , further comprising:
adding, by the controller, the sensed grip pattern to the previously stored user profile or registering the sensed grip pattern as a new user profile when the deviation between each grip pattern stored in the at least one previously registered user profile and the sensed grip pattern is greater than the threshold value.

9. The user identification method according to claim 1 , wherein the activating of the user-customization module includes:
operating, by the controller, at least one electronic system having differently set values for different users, included in user profiles, in response to a previously registered user profile.

10. The user identification method according to claim 9 , wherein the operating of at least one electronic system having differently set values for different users, included in user profiles, in response to a previously registered user profile includes:
adjusting at least one selected from the group consisting of: a vehicle seat position, a driving mode input to the user profile from among at least one driving mode, a height or angle of a steering wheel, a side-view mirror angle, brightness or color output of a cluster, a brightness output or position of a heads up display (HUD), preset radio channels, and a bookmark or an address book of an AVN system.

11. The user identification method according to claim 4 , wherein the lever pulling time is a time from when the lever is gripped to when the lever is pulled, the lever release time is a time from when the lever is pulled to when the lever is released, the lever pulling direction is one of an upward direction, a downward direction, a horizontal direction and diagonal directions based on a lever design, and the lever pulling speed is a ratio of the lever pulling time to a reference time.

12. The user identification method according to claim 1 , further comprising:
comparing, by the controller, each grip pattern stored in the at least one previously registered user profile with the sensed grip pattern; and
inputting, by the controller, the sensed grip pattern as a new user profile through a user interface of an audio video navigation (AVN) system when a deviation between the grip patterns is greater than a threshold value.

13. A lever-type door device, comprising:
a sensing module configured to sense a grip pattern; and
a controller configured to identify a user profile that corresponds to the grip pattern and to activate a user customization module in response to the identified user profile,
wherein the controller is configured to activate the sensing module disposed within a lever of a vehicle door when a smart-key is sensed,
wherein the grip pattern includes a grip image pattern,
wherein the lever-type door is a vehicle door and the lever is an exterior handle mounted on the vehicle door, and
wherein the grip image pattern includes a 3-dimensional (3D) image that represents gripping the exterior handle.

14. The lever-type door device according to claim 13 , further comprising:
a communication unit configured to receive a smart-key sensing signal from a smart-key system,
wherein the controller is configured to operate a lever-type door to enter a standby state and activate the sensing module in the standby state when the smart-key sensing signal is received.

15. The lever-type door device according to claim 13 , wherein the controller is configured to search for at least one previously registered user profile using the grip pattern and output a user profile matched to the grip pattern from among searched user profiles.

16. The lever-type door device according to claim 13 , wherein the grip pattern further includes at least one selected from the group consisting of: a lever pulling time, a lever release time, a lever pulling direction and a lever pulling speed.

17. The lever-type door device according to claim 13 , wherein the sensing module includes a plurality of contact sensors arranged at specific intervals on a sensor board mounted in the lever.

18. The lever-type door device according to claim 16 , wherein the grip image pattern is transformed from coordinates of multi-touched contact sensors from among the plurality of contact sensors and formed on a 2-dimensional plane.

19. The lever-type door device according to claim 13 , wherein the controller is configured to compare each grip pattern stored in the at least one previously stored user profile with the sensed grip pattern and identify the user profile as the corresponding user profile when a deviation between the grip patterns is less than a threshold value.

20. The lever-type door device according to claim 13 , further comprising:
a grip pattern database for adding the sensed grip pattern to the previously stored user profile or registering the sensed grip pattern as a new user profile when the deviation between each grip pattern stored in the at least one previously regist

Assignees

• Hyundai Motor Co Ltd
• Kia Motors Corp

Inventors

• Lee Seung Hwan

Classifications

• B60N2/0273

  taking into account user data, e.g. knee height or physical state · CPC title

• B60N2220/20

  using a deterministic algorithm · CPC title

• B60N2210/12

  Capacitive; Electric field · CPC title

• B60N2230/20

  Wireless data transmission · CPC title

• B60N2/0239

  using movement detection or gesture recognition · CPC title