Smart Furniture

• US 20170160709A1
• Filed: 12/07/2015
• Published: 06/08/2017
• Est. Priority Date: 12/07/2015
• Status: Active Grant

• Current Assignee: Furniture Of America, Inc.
• Original Assignee: Furniture Of America, Inc.
• Inventors: Yang, Lei
• Granted Patent: US 10,602,986 B2
• Time in Patent Office: Days
• CPC Class Codes: A61B 2562/046 in a matrix array
• CPC Class Codes: A61B 2562/066 in a matrix array
• CPC Class Codes: A61B 5/00 Measuring for diagnostic purposes radiation diagnosis A61B6/00; diagnosis by ultrasonic, sonic or infrasonic waves A61B8/00; Identification of persons
• CPC Class Codes: A61B 5/002 Monitoring the patient using a local or closed circuit, e.g. in a room or building A61B5/0017 takes precedence
• CPC Class Codes: A61B 5/02055 Simultaneously evaluating both cardiovascular condition and temperature
• CPC Class Codes: A61B 5/6891 Furniture
• CPC Class Codes: G05B 2219/2642 Domotique, domestic, home control, automation, smart house
• CPC Class Codes: G16H 40/63 for local operation
• CPC Class Codes: G16H 40/67 for remote operation

Abstract

A smart furniture includes a furniture article designed for being used by a user and a smart system which includes a detection module built-in with the furniture article for detecting health data of the user when the furniture article is used. In particular, the detection module includes a plurality of sensors located at a user supporting surface of the furniture article for collecting health data of the user. The health data of the user is then analyzed to ensure the user to use the furniture article in a proper way.

Claims

1. A smart furniture, comprising;

a furniture article designed for being used by a user; and

a smart system which comprises a detection module built-in with said furniture article for detecting health data of the user when said furniture article is used.

2. The smart furniture, as recited in claim 1, wherein said detection module comprises a plurality of sensors located at different locations of said furniture article for detecting the health data from the user.

3. The smart furniture, as recited in claim 2, wherein said sensors are selected from the group of weight sensors, pressure sensors, posture sensors, temperature sensors, respiration sensors, and heart-rate sensors.

4. The smart furniture, as recited in claim 1, wherein said smart system further comprises an analysis module operatively linked to said detection module to receive said health data therefrom, wherein said analysis module not only processes and analyzes said health data but also generates a comprehensible result in response to said furniture article.

5. The smart furniture, as recited in claim 3, wherein said smart system further comprises an analysis module operatively linked to said detection module to receive said health data therefrom, wherein said analysis module not only processes and analyzes said health data but also generates a comprehensible result in response to said furniture article.

6. The smart furniture, as recited in claim 4, wherein said analysis module is an application being installed into a computerized unit.

7. The smart furniture, as recited in claim 5, wherein said analysis module is an application being installed into a computerized unit.

8. The smart furniture, as recited in claim 4, wherein said smart system further comprises a data transceiver wirelessly linking said detection module with said analysis module to wirelessly transmit said health data from said detection module to said analysis module.

9. The smart furniture, as recited in claim 5, wherein said smart system further comprises a data transceiver wirelessly linking said detection module with said analysis module to wirelessly transmit said health data from said detection module to said analysis module.

10. The smart furniture, as recited in claim 1, wherein said smart system further comprises a control module built-in with said furniture article to adjust body parameters of said furniture article.

11. The smart furniture, as recited in claim 5, wherein said smart system further comprises a control module built-in with said furniture article to adjust body parameters of said furniture article.

12. The smart furniture, as recited in claim 10, wherein said control module comprises a pressure adjustor and a temperature adjustor located at a user supporting surface of said furniture article, wherein said pressure adjustor selectively adjusts a stiffness of said user supporting surface of said furniture article, and said temperature adjustor selectively adjusts a temperature of said user supporting surface of said furniture article.

13. The smart furniture, as recited in claim 11, wherein said control module comprises a pressure adjustor and a temperature adjustor located at a user supporting surface of said furniture article, wherein said pressure adjustor selectively adjusts a stiffness of said user supporting surface of said furniture article, and said temperature adjustor selectively adjusts a temperature of said user supporting surface of said furniture article.

14. A method of evaluating health condition of a user when a furniture article is used, comprising the steps executed by a computerized unit of:

(a) collecting health data from the user, when the furniture article is used, by a plurality of sensors of a detection module located at different locations of said furniture article;

(b) analyzing said health data by an analysis module which is a computerized unit; and

(c) generating a comprehensible result in response to said furniture article being used by the user.

15. The method, as recited in claim 14, wherein the step (a) further comprises configuring a plurality of sensors at different locations of said furniture article for detecting the health data from the user.

16. The method, as recited in claim 15, wherein said sensors are selected from the group of weight sensors, pressure sensors, posture sensors, temperature sensors, respiration sensors, and heart-rate sensors.

17. The method, as recited in claim 15, wherein said health data from said detection module wirelessly transmitted to said analysis module.

18. The method, as recited in claim 15, wherein the step (b) further comprises a step of installing said analysis module as an application into a personal computerized unit.

19. The method, as recited in claim 15, further comprising a step of adjusting body parameters of said furniture article via a control module built-in with said furniture article, wherein the adjusting step comprises the steps of selectively adjusting a stiffness of a user supporting surface of said furniture article via a pressure adjustor, and selectively adjusting a temperature of said user supporting surface of said furniture article via a temperature adjustor.

20. The method, as recited in claim 19, wherein said pressure adjustor and said temperature adjustor are located at said user supporting surface of said furniture article.