Furniture article with user health analyzing system

• US 10,602,986 B2
• Filed: 12/07/2015
• Issued: 03/31/2020
• Est. Priority Date: 12/07/2015
• Status: Active Grant

• Current Assignee: Furniture Of America, Inc.
• Original Assignee: Furniture Of America, Inc.
• Inventors: Yang, Lei
• Primary Examiner(s): Yoha, Connie C
• Application Number:
  US14/961,853
• Publication Number:
  US 20170160709A1
• Time in Patent Office: 1,576 Days
• Field of Search: 700275, 705 2, 705 11, 70275
• 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, wherein said furniture article has a user supporting surface for the user contacting and supporting thereon; and

a smart system which comprises a detection module built-in with said user supporting surface of said furniture article for detecting health data of the user when said furniture article is used, wherein said detection module comprises a plurality of different sensors built-in with said user supporting surface of said furniture article;

wherein said smart system further comprises an analysis module and a control module, wherein said detection module is operatively linked with said analysis module and said control module, wherein said analysis module analyzes health data to determine a light sleep phase, a deep sleep phase, and a dream phase;

wherein said control module further comprises an alert module, wherein said alert module generates an alarm signal at a preset alarm time range to wake up the user during the light sleep phase, wherein one of said sensors is a pressure sensor, and one of said sensor is a posture sensor that tracks a movement on said user supporting surface of said furniture article to determine the light sleep phase, such that in response to said posture sensor, said alarm signal is generated at said preset alarm time range by said alert module when said posture sensor detects the light sleep phase of the user.

2. The smart furniture, as recited in claim 1, wherein two of said sensors are a weight sensor collecting a weight data of the user and a respiration sensor collecting a respiration data of the user.

3. The smart furniture, as recited in claim 2, wherein, in response to said weight sensor, said control module further comprises a pressure adjustor that selectively adjusts a stiffness of said user supporting surface of said furniture article according to a body pressure of the user applied thereon so as to ensure a balance support of said user supporting surface of said furniture article.

4. The smart furniture, as recited in claim 1, 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 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 1, 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 one of said sensors is a temperature sensor collecting data of body temperature of the user, wherein said control module comprises a temperature adjustor located at said user supporting surface of said furniture article, wherein, in response to said temperature sensor, 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 one of said sensors is a temperature sensor collecting data of body temperature of the user, wherein said control module comprises a temperature adjustor located at said user supporting surface of said furniture article, wherein, in response to said temperature sensor, 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 articles 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 of different locations of a user supporting surface of said furniture article that said user supporting surface thereof is configured for contacting and supporting the user, wherein the step (a) comprises a step of;

(a.1) tracking a movement on said user supporting surface of said furniture article via a posture sensor;

(b) analyzing said health data to determine a light sleep phase, a deep sleep phase, and a dream phase by an analysis module which is a computerized unit, wherein said light sleep phase is determined when said wherein said posture sensor tracks the movement on said user supporting surface of said furniture article; and

(c) in response to said posture sensor, generating an alarm signal at a preset alarm time range by an alert module for waking up the user during the light sleep phase.

15. The method, as recited in claim 14, wherein the step (a) further comprises the steps of:

(a.2) collecting a weight data of the user via a weight sensor on said user supporting surface of said furniture article; and

(a.3) collecting a respiration data of the user via a respiration sensor when the user supports on said user supporting surface of said furniture article.

16. The method, as recited in claim 15, wherein said sensors are temperature 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 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 said user supporting surface of said furniture article via a pressure adjustor in response to said weight sensor, and selectively adjusting a temperature of said user supporting surface of said furniture article via a temperature adjustor in response to a temperature sensor that detects a body temperature of the user on said user supporting surface of said furniture article.

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.