Multi-dimensional mapping and user cognitive profile based device control and channel assignment

Patent metadata

Field	Value
Publication number	US-11856592-B2
Application number	US-202117452406-A
Country	US
Kind code	B2
Filing date	Oct 27, 2021
Priority date	Oct 27, 2021
Publication date	Dec 26, 2023
Grant date	Dec 26, 2023

Abstract

The present invention may include a computing device receives a location data from a client device, wherein the client device comprises one or more location sensors to generate the location data. The computing device determines an altitude of the client device above a floor from the location data. The computing device determines an age and a height of a user using a trained neural network from the client device and the location data and assigns a wireless network channel to the client device based on the age and the height of the user.

First claim

What is claimed is:

1. A processor-implemented method for an altitude-based device control, the method comprising:
in response to a client device being detected in an environment, accessing profile data associated with the client device;
comparing a height of a user and an altitude range associated with the client device as recorded in the associated profile data with a detected altitude range of the client device above a floor;
flagging the client device, based on the altitude range deviating from that in the associated profile data;
in response to the client device being flagged, determining an age and a height of the user from an analysis of behavioral patterns, speech and tone, using a trained neural network; and
assigning a wireless network channel to the client device based on a security profile of the wireless network channel matching the analyzed behavioral patterns and the associated profile data.

2. The processor-implemented method of claim 1 , wherein determining the age and the height of the user using the trained neural network from the client device and the location data further comprises:
analyzing behavioral patterns of the user based on a speed and frequency of change in the location data.

3. The processor-implemented method of claim 2 , wherein determining the age and the height of the user using the trained neural network from the client device and the location data further comprises:
determining whether the wireless network channel should be switched based on an analysis of speech, tone, and activity of the user.

4. The processor-implemented method of claim 1 , wherein determining the altitude of the client device above the floor from the location data is based on a digital representation of a 3D map of an environment where the client device is located.

5. The processor-implemented method of claim 1 , wherein the wireless network channel has associated restrictions and device control settings applied to the client device.

6. The processor-implemented method of claim 1 , further comprising:
based on determining a range of the altitude in a user profile varies from the altitude of the client device:
flagging the client device as used by a new user; and
updating the user profile.

7. The processor-implemented method of claim 1 , wherein the one or more location sensors are selected form a group consisting of an accelerometer, a barometer, a wireless antenna capable of identifying a location using triangulation, a camera, a LIDAR, and a global positioning sensor.

8. A computer system for an altitude-based device control, the computer system comprising:
one or more processors, one or more computer-readable memories, one or more computer-readable tangible storage medium, and program instructions stored on at least one of the one or more tangible storage medium for execution by at least one of the one or more processors via at least one of the one or more memories, wherein the computer system is capable of performing a method comprises:
in response to a client device being detected in an environment, accessing profile data associated with the client device;
comparing a height of a user and an altitude range associated with the client device as recorded in the associated profile data with an altitude range of the client device above a floor;
flagging the client device, based on the altitude range deviating from the that in the associated profile data;
in response to the client device being flagged, determining an age and a height of the user from an analysis of behavioral patterns, speech and tone, using a trained neural network; and
assigning a wireless network channel to the client device based on a security profile of the wireless network channel matching the analyzed behavioral patterns and the associated profile data.

9. The computer system of claim 8 , wherein determining the age and the height of the user using the trained neural network from the client device and the location data further comprising:
analyzing behavioral patterns of the user based on a speed and frequency of change in the location data.

10. The computer system of claim 9 , wherein determining the age and the height of the user using the trained neural network from the client device and the location data further comprises:
determining whether the wireless network channel should be switched based on an analysis of speech, tone, and activity of the user.

11. The computer system of claim 8 , wherein determining the altitude of the client device above the floor from the location data is based on a digital representation of a 3D map of an environment where the client device is located.

12. The computer system of claim 8 , wherein the wireless network channel has associated restrictions and device control settings applied to the client device.

13. The computer system of claim 8 , further comprising:
based on determining a range of the altitude in a user profile varies from the altitude of the client device:
flagging the client device as used by a new user; and
updating the user profile.

14. The computer system of claim 8 , wherein the one or more location sensors are an accelerometer, a barometer, a wireless antenna capable of identifying a location using triangulation, a camera, a LIDAR, and a global positioning sensor.

15. A computer program product for an altitude-based device control, the computer program product comprising:
one or more computer-readable tangible storage medium and program instructions stored on at least one of the one or more tangible storage medium, the program instructions executable by a processor of a computer to perform a method, the method comprising:
in response to a client device being detected in an environment, accessing profile data associated with the client device;
comparing a height of a user and an altitude range associated with the client device as recorded in the associated profile data with an altitude range of the client device above a floor;
flagging the client device, based on the altitude range deviating from the that in the associated profile data;
in response to the client device being flagged, determining an age and a height of the user from an analysis of behavioral patterns, speech and tone, using a trained neural network; and
assigning a wireless network channel to the client device based on a security profile of the wireless network channel matching the analyzed behavioral patterns and the associated profile data.

16. The computer program product of claim 15 , wherein program instructions to determine the age and the height of the user using the trained neural network from the client device and the location data further comprises:
analyzing behavioral patterns of the user based on a speed and frequency of change in the location data.

17. The computer program product of claim 16 , wherein determining the age and the height of the user using the trained neural network from the client device and the location data further comprises:
determining whether the wireless network channel should be switched based on an analysis of speech, tone, and activity of the user.

18. The computer program product of claim 15 , wherein determining the altitude of the client device above the floor from the location data is based on a digital representation of a 3D map of an environment where the client device is located.

19. The computer program product of claim 15 , wherein the wireless network channel has associated restrictions and device control settings applied to the client device.

Assignees

• IBM

Inventors

• Baughman Aaron K
• Kwatra Shikhar
• Pandey Diwesh
• Ghosh Subarna

Classifications

• H04W72/51 Primary

  based on terminal or device properties · CPC title

• H04W64/006 Primary

  with additional information processing, e.g. for direction or speed determination · CPC title

• H04W84/12

  WLAN [Wireless Local Area Networks] · CPC title

• H04W76/10

  Connection setup · CPC title

• G06N3/08

  Learning methods · CPC title