BIOFEEDBACK CONTROL SYSTEM AND METHOD FOR HUMAN-MACHINE INTERFACE

• US 20130120114A1
• Filed: 11/07/2012
• Published: 05/16/2013
• Est. Priority Date: 11/16/2011
• Status: Abandoned Application

• Current Assignee: PixArt Imaging Incorporated
• Original Assignee: PixArt Imaging Incorporated
• Inventors: GU, Ren-Hau, KAO, Ming-Tsan, HUANG, Sen-Huang
• Application Number:
  US13/671,258
• Publication Number:
  US 20130120114A1
• Time in Patent Office: Days
• US Class Current: 340/5.83
• CPC Class Codes: A61B 5/0077 Devices for viewing the surface of the body, e.g. camera, magnifying lens
• CPC Class Codes: A61B 5/02405 Determining heart rate variability
• CPC Class Codes: A61B 5/0265 using electromagnetic means, e.g. electromagnetic flowmeter
• CPC Class Codes: A61B 5/0531 Measuring skin impedance
• CPC Class Codes: A61B 5/165 Evaluating the state of mind, e.g. depression, anxiety
• CPC Class Codes: A61B 5/369 Electroencephalography [EEG] devices for psychotechnics A61B5/16
• CPC Class Codes: A61B 5/486 Bio-feedback A61B5/375 takes precedence
• CPC Class Codes: G06F 7/02 Comparing digital values G06F7/06, G06F7/22, G06F7/38 take precedence
• CPC Class Codes: G06V 10/145 Illumination specially adapted for pattern recognition, e.g. using gratings

Abstract

A biofeedback control system and method includes monitoring a physiological condition of a user to generate a sensing signal including a physiological information of the user, extracting a physiological variation information from the physiological information to generate a biofeedback signal, and generating a control signal based on the physiological variation information for controlling scenes, scenarios, background music or audio-visual effects of a program or a game. By this way, the biofeedback control system and method can trace a user'"'"'s mood to automatically adjust a video output or an audio output of an electronic system where a program is playing or a game is running to enhance amusement.

Claims

1. A biofeedback control system for human-machine interface, comprising:

a physiological sensor configured to monitor a physiological condition of a user for generating a sensing signal including a physiological information of the user;

a physiological condition analyzer coupled to the physiological sensor, operative to receive the sensing signal and extract a physiological variation information from the physiological information for generating a biofeedback signal including the physiological variation information;

a transmission interface coupled to the physiological condition analyzer, operative to receive the biofeedback signal and transmit the physiological variation information; and

a control unit coupled to the transmission interface, configured to receive the physiological variation information from the transmission interface and generate a control signal based on the physiological variation information for controlling scenes, scenarios, background music or audio-visual effects of a program or a game.

2. The biofeedback control system of claim 1, wherein the physiological sensor comprises:

a light source configured to provide light to project on a finger of the user; and

an image sensor configured to capture images of the finger and generate the sensing signal including a video information of the images.

3. The biofeedback control system of claim 2, wherein the physiological condition analyzer extracts a brightness variation of the images to analyze a blood flow variation of the finger for generating the biofeedback signal.

4. The biofeedback control system of claim 1, wherein the physiological sensor comprises:

a light source configured to provide light to project on a face of the user; and

an image sensor configured to capture images of the face and generate the sensing signal including a video information of the images.

5. The biofeedback control system of claim 4, wherein the physiological condition analyzer extracts a brightness variation of the images to analyze a blood flow variation of the face or a change of facial features of the face to analyze an expression change of the user for generating the biofeedback signal.

6. The biofeedback control system of claim 1, wherein the physiological sensor comprises a plate electrode contacting a body of the user for sensing a bioelectricity variation of the body for generating the sensing signal.

7. The biofeedback control system of claim 6, wherein the physiological condition analyzer analyzes the bioelectricity variation for generating the biofeedback signal.

8. A biofeedback control method for human-machine interface, comprising:

a.) monitoring a physiological condition of a user for generating a sensing signal including a physiological information of the user;

b.) extracting a physiological variation information from the physiological information for generating a biofeedback signal including the physiological variation information; and

c.) generating a control signal based on the physiological variation information for controlling scenes, scenarios, background music or audio-visual effects of a program or a game.

9. The biofeedback control method of claim 8, wherein the step a comprises:

providing light to project on a finger of the user; and

capturing images of the finger and generating the sensing signal including a video information of the images.

10. The biofeedback control method of claim 9, wherein the step b comprises extracting a brightness variation of the images to analyze a blood flow variation of the finger for generating the biofeedback signal.

11. The biofeedback control method of claim 8, wherein the step a comprises:

providing light to project on a face of the user; and

capturing images of the face and generating the sensing signal including a video information of the images.

12. The biofeedback control method of claim 11, wherein the step b comprises extracting a brightness variation of the images to analyze a blood. flow variation of the face or a change of facial features of the face to analyze an expression change of the user for generating the biofeedback signal.

13. The biofeedback control method of claim 8, wherein the step a comprises sensing a bioelectricity variation of the user for generating the sensing signal.

14. The biofeedback control method of claim 13, wherein the step b comprises analyzing the bioelectricity variation for generating the biofeedback signal.