IP Library Granted Patent US 12,058,425
Granted Patent B2
US 12,058,425 · App. 17/991,725 · Granted Aug 6, 2024

Smart furniture content interaction system and method

Inventors: Chamli Tennakoon (Dubai, AE); Subhash Chandra (Dubai, AE); Amit Goenka (Dubai, AE)
H04N21/8547G06F3/016H04N21/422A63J25/00
View Patent ↗
Loading inventors, assignments & file history…
Monitor This Case
Get email alerts when status or documents change.
Order Certified Copies
Most orders are placed with the USPTO same day — all within 24 business hours.
Order via The Patent Place →
Pre-filled with this patent's details
Quick Facts
Patent No.
US 12,058,425
App. No.
17/991,725
Granted
Aug 6, 2024
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 (21)

1. A system, comprising:

a computer-based sense interaction system having a plurality of sense devices;

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

a content encoding engine of the computer-based sense interaction system configured to retrieve media content from the media content storage;

the content encoding engine configured to encode a plurality of scenes in the retrieved media content, wherein the content encoding engine configured to encode is further configured to encode a hotspot at each scene indicating that a sense interaction occurs either involuntarily or with user interaction at the scene with the encoded hotspot and to generate a sense bug associated with the encoded hotspot that indicates a particular sense device of the plurality of sense devices of the computer-based sense interaction system to be activated at the encoded hotspot when the sense interaction occurs and an expected response from the particular sense device, wherein the sense device to be activated is one of a smell sense device and a taste sense device, wherein the content encoding engine configured to encode is further configured to automatically use a machine learning algorithm that maps emotion, scent, and duration tuples in a clustering algorithm; and

the content encoding engine configured to deliver encoded media content to a user interaction device.

2. The system of claim 1 , wherein the mapping includes sequences of neighboring emotions.

3. The method of claim 1 , wherein the sense device further comprises one of the smell device, the taste device, a touch device, an auditory device and a sight device.

4. The system of claim 1 , wherein the particular sense device is a scent device included in a smart furniture system that is configured to release a scent when the information is received regarding the expected response for the scent device.

5. The system of claim 1 , wherein the particular sense device is a haptic device included in a smart furniture system that is configured to generate a haptic response when the information is received regarding the expected response for the haptic device.

6. The system of claim 1 , wherein the particular sense device is a holographic device included in a smart furniture system that is configured to generate a holographic response when the information is received regarding the expected response for the holographic device.

7. The system of claim 1 , wherein the content encoding engine configured to encode is further configured to respond to a user input.

8. A method, comprising,

retrieving media content, by a content encoding engine for senses, from a media content storage;

encoding a plurality of scenes in the retrieved media content, wherein encoding each scene further comprising encoding a hotspot at each scene indicating that a sense interaction occurs either involuntarily or with user interaction at the scene with the encoded hotspot and generating a sense bug associated with the encoded hotspot that indicates a sense device of the plurality of sense devices of a sense interaction system to be activated at the encoded hotspot when the sense interaction occurs and an expected response from the sense device, wherein the sense device to be activated is one of a smell sense device and a taste sense device, wherein encoding the plurality of scenes further comprises automatically using a machine learning algorithm that maps emotion, scent, and duration tuples in a clustering algorithm; and

delivering encoded media content to a user interaction device.

9. The method of claim 8 wherein the mapping includes sequences of neighboring emotions.

10. The method of claim 8 , wherein the sense device is a scent device included in a smart furniture system that is configured to release a scent when the information is received regarding the expected response for the scent device.

11. The method of claim 8 , wherein the sense device is a haptic device included in a smart furniture system that is configured to generate a haptic response when the information is received regarding the expected response for the haptic device.

12. The method of claim 8 , wherein the sense device is a holographic device included in a smart furniture system that is configured to generate a holographic response when the information is received regarding the expected response for the holographic device.

13. The method of claim 8 wherein the encoding of the retrieved media with hotspots further comprises responding to a user input.

Assignments (2)
ASSIGNMENT OF ASSIGNOR'S INTEREST Recorded Aug 30, 2023
From: Z5X GLOBAL FZ LLC
To: KOSHAYOJAN SERVICES LIMITED
Reel/Frame 064757/0797 →
ASSIGNMENT OF ASSIGNOR'S INTEREST Recorded Nov 21, 2022
From: TENNAKOON, CHAMLI; CHANDRA, SUBHASH; GOENKA, AMIT
To: Z5X GLOBAL FZ-LLC
Reel/Frame 061846/0434 →
Continuity (4)
Continuation 16989640 · Aug 10, 2020
Continuation 16352595 · Mar 13, 2019
Continuation In Part 15629621 · Jun 21, 2017
Related Publication 20230115635A1 · Apr 13, 2023