IP Library Granted Patent US 12,212,821
Granted Patent B2
US 12,212,821 · App. 18/601,559 · Granted Jan 28, 2025

Machine learning encoding system and method for content interaction system and method

Inventors: Chamli Tennakoon (Corona, CA); Subhash Chandra (Corona, CA); Amit Goenka (Corona, CA)
Assignee: Koshayojan Services Limited
H04N21/8547G06F3/016H04N21/422A63J25/00
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Quick Facts
Patent No.
US 12,212,821
App. No.
18/601,559
Granted
Jan 28, 2025
Kind
B2
Abstract

A content interaction system and method allow a user to simultaneously interact with a piece of content using three, four or five senses (such as sound, sight and smell in one example) of the user. In one embodiment, the content interaction system may have a plurality of devices wherein the user may integrate one or more of the devices together.

Claims (22)

1. A method, comprising:

retrieving content, by a content encoding engine for senses;

encoding, by the content encoding engine for senses, at least one scene of a plurality of scenes in the retrieved content to insert a hot spot and a sense bug that is activatable to dispense a sense response, wherein the sense response is one of a smell sense response, a taste sense response, a sound sense response, a sight sense response and a touch sense response; and

wherein encoding the at least one scene further comprises identifying, using machine learning pattern recognizer trained to recognize a particular scene in the retrieved content having a feature for a particular sense response, the at least one scene in the retrieved content for the particular sense and the particular sense response, encoding, in the identified particular scene using a large language model specially trained to identify the particular sense response in the at least one scene, the hotspot indicating that the sense response occurs either involuntarily or with user interaction at the identified particular scene with the encoded hotspot and generating the sense bug associated with the hotspot that indicates a sense device of the plurality of sense devices of a sense interaction system to be activated at the hotspot when the sense response occurs and an expected response from the indicated sense device.

2. The method of claim 1 further comprising triggering the particular sense response in the particular scene due to interaction with the particular sense response or activating the sense device when the particular sense response is triggered.

3. The method of claim 2 , wherein activating the sense device further comprises activating a smell sense device that is configured to release a scent.

4. The method of claim 2 , wherein activating the sense device further comprises activating a haptic device that is configured to generate a haptic response.

5. The method of claim 2 , wherein activating the sense device further comprises activating a holographic device that is configured to generate a holographic response.

6. The method of claim 1 , wherein the sense response is a touch sense response, a sound sense response and a visual sense response.

7. A system, comprising:

a computer-based sense interaction system having a content encoder;

a content storage device connected to the computer-based sense interaction system;

the content encoder of the computer-based sense interaction system configured to:

retrieve content for senses from the content storage device;

identify, using machine learning pattern recognizer trained to recognize a particular scene in the retrieved content having a feature for a particular sense response, each scene in the retrieved content for the particular sense and the particular sense response;

encode, in the identified particular scene using a large language model specially trained to identify the particular sense response in the at least one scene, a hotspot indicating that the sense response occurs either involuntarily or with user interaction at the identified particular scene with the encoded hotspot; and

generate a sense bug associated with the hotspot that indicates the sense response to be activated at the hotspot when the sense response occurs and an expected sense response, wherein the sense response is one of a smell sense response, a taste sense response, a sound sense response, a sight sense response and a touch sense response.

8. The system of claim 7 , wherein the computer-based sense interaction system is configured to trigger the particular sense response in the particular scene due to interaction with the particular sense response and activate a sense device when the particular sense response is triggered.

9. The system of claim 8 , wherein the computer-based sense interaction system is further configured to activate a smell sense device that is configured to release a scent.

10. The system of claim 8 , wherein the computer-based sense interaction system is further configured to activate a haptic device that is configured to generate a haptic response.

11. The system of claim 8 , wherein the computer-based sense interaction system is further configured to activate a holographic device that is configured to generate a holographic response.

12. The system of claim 7 , wherein the sense response is a touch sense response, a sound sense response and a visual sense response.

Assignments (1)
ASSIGNMENT OF ASSIGNOR'S INTEREST Recorded Apr 23, 2024
From: TENNAKOON, CHAMLI; CHANDRA, SUBHASH, DR.; GOENKA, AMIT
To: KOSHAYOJAN SERVICES LTD.
Reel/Frame 067199/0220 →
Continuity (5)
Continuation In Part 17991725 · Nov 21, 2022
Continuation 16989640 · Aug 10, 2020
Continuation 16352595 · Mar 13, 2019
Continuation In Part 15629621 · Jun 21, 2017
Related Publication 20240267599A1 · Aug 8, 2024
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