SYSTEM AND METHOD TO PROVIDE CAREER COUNSELING AND MANAGEMENT USING BIOFEEDBACK

• US 20160042658A1
• Filed: 10/23/2015
• Published: 02/11/2016
• Est. Priority Date: 07/16/2009
• Status: Active Application

• Current Assignee: International Business Machines Corporation
• Original Assignee: International Business Machines Corporation
• Inventors: Eggenberger, Christian, Malkin, Peter K., Schindler, Andreas J., Mersereau, Jeffrey W.
• Application Number:
  US14/921,115
• Publication Number:
  US 20160042658A1
• Time in Patent Office: Days
• US Class Current: 1/1
• CPC Class Codes: A61B 5/024 Detecting, measuring or recording pulse rate or heart rate A61B5/0205, A61B5/021 take precedence
• CPC Class Codes: A61B 5/02405 Determining heart rate variability
• CPC Class Codes: A61B 5/165 Evaluating the state of mind, e.g. depression, anxiety
• CPC Class Codes: A61B 5/167 Personality evaluation
• CPC Class Codes: G06Q 10/105 Human resources
• CPC Class Codes: G06Q 30/02 Marketing; Price estimation or determination; Fundraising
• CPC Class Codes: G09B 19/00 Teaching not covered by other main groups of this subclass teaching or practice apparatus for gun-aiming or gun-laying F41G3/26
• CPC Class Codes: G09B 5/02 with visual presentation of the material to be studied, e.g. using film strip

Abstract

An apparatus and method for measuring a person'"'"'s biometric data as well as associated data and for using that data to determine the person'"'"'s talents and well-being state, as well as predicting an optimal career path for the person. Biometric data is measured using a sensor, a memory configured to store the biometric signals, a database configured to store and retrieve profiles, and a processor configured to compare biometric data as well as associated data with anonymous profiles stored in the database and create a profile for the person.

Claims

1. A system for creating biometric profiles comprising:

a sensor configured to measure a person'"'"'s biometric signals; and

a processor configured to process the biometric signals to produce a life fire graph, the life fire graph comprising a heat map that correlates an intensity of change in the biometric signals at different frequencies at different points in time, further configured to compare the life fire graph to a plurality of stored biometric profiles, and further configured to evaluate at least one personality characteristic of the person based on correlations with the plurality of stored profiles.

2. The system of claim 1, wherein the measured biometric data includes Heart Rate Variability data.

3. The system of claim 1, wherein the measured biometric data includes skin conductivity.

4. The system of claim 1, wherein the measured biometric data includes brainwaves.

5. The system of claim 1, wherein the measured biometric data includes blood sugar levels.

6. The system of claim 1, further comprising a database that includes a knowledge management system where at least one of competency, associated well-being state, and an associated performance rating of a plurality of users are stored.

7. The system of claim 1, wherein the processor includes an alert mechanism which is triggered when a mismatch occurs between a given person'"'"'s biometric data and a job role.

8. The system of claim 1, wherein the sensor and processor are contained within a single, self-contained device that is small enough to be worn under a user'"'"'s clothing.

9. The system of claim 1, wherein the processor is further configured to process the biometric signals using a Fourier transform.

10. A method for determining an optimal job for a given user comprising:

processing a user'"'"'s biometric signals to produce a life fire graph, said life fire graph comprising a heat map that correlates an intensity of change in the biometric signals at different frequencies at different points in time; and

correlating the user'"'"'s life fire graph with a plurality of known life fire graphs using a processor to determine job roles with a high probability of good performance and health for the user.

11. The method of claim 10, wherein the biometric data includes Heart Rate Variability information.

12. The method of claim 10, wherein the characteristic traits include at least one competency.

13. The method of claim 10, wherein the characteristic traits include the given user'"'"'s well-being state.

14. The method of claim 13, wherein the information to determine the characteristic traits and the matching job role are retrieved from a knowledge management system where the characteristic traits and the associated performance rating of a significant number of users are stored.

15. The method of claim 14 wherein a competency includes information about personal characteristics such as motives, traits, self-image, social role, and information about the skills and knowledge of a user.

16. A computer readable storage medium comprising a computer readable program for determining an optimal job for a given user, wherein the computer readable program when executed on a computer causes the computer to perform the steps of:

processing a user'"'"'s biometric signals to produce a life fire graph, said life fire graph comprising a heat map that correlates an intensity of change in the biometric signals at different frequencies at different points in time; and

correlating the user'"'"'s life fire graph with a plurality of known life fire graphs using a processor to determine job roles with a high probability of good performance and health for the user.