DIAGNOSIS METHOD AND SYSTEM BASED ON HANDWRITING ANALYSIS

• US 20110217679A1
• Filed: 11/05/2009
• Published: 09/08/2011
• Est. Priority Date: 11/05/2008
• Status: Abandoned Application

• Current Assignee: Carmel-Haifa University Economic corp. Ltd. (University of Haifa)
• Original Assignee: Carmel-Haifa University Economic corp. Ltd. (University of Haifa)
• Inventors: Rosenblum, Sara
• Application Number:
  US13/127,649
• Publication Number:
  US 20110217679A1
• Time in Patent Office: Days
• US Class Current: 434/155
• CPC Class Codes: A61B 5/11 Measuring movement of the entire body or parts thereof, e.g. head or hand tremor, mobility of a limb for measuring pulse A61B5/02 ;A61B5/1038 takes precedence; motion detection to correct for motion artifacts in physiological signals A61B5/721
• CPC Class Codes: A61B 5/1114 Tracking parts of the body
• CPC Class Codes: A61B 5/164 Lie detection
• CPC Class Codes: A61B 5/167 Personality evaluation
• CPC Class Codes: A61B 5/168 Evaluating attention deficit, hyperactivity
• CPC Class Codes: A61B 5/4088 Diagnosing of monitoring cognitive diseases, e.g. Alzheimer, prion diseases or dementia

Abstract

A diagnosis system and method comprising a handwriting data collection and analysis software and accompanying tools for diagnosing a given condition such as an illness, a mental illness, a physiological condition, a mental or emotional state, medication effect, a personality trait, a skill, an expertise, deception or truth writing. The handwriting of a control group known to have a condition is analyzed in order to determine the detectable characteristic indicators of that group. Such measured indicators comprise spatial, temporal and pressure measures for each writing stroke. The handwriting of a subject is then analyzed to determine if the measured indicators indicate statistically that the subject can be diagnosed with a condition.

Claims

1. A diagnosis method based on handwriting analysis, the method comprising the steps of:

(i) defining for each condition a list of characteristic indicators detectable while performing a set of predetermined handwriting tasks;

(ii) recording the handwriting tasks of a person according to the defined characteristic indicators of said condition; and

(iii) analyzing the values of the recorded indicators in order to determine whether the person is diagnosed with said condition.

2. A diagnosis method according to claim 1, wherein said condition comprises:

a personality trait, a skill, an expertise, the classification of people into appropriate professions, legal purposes, deception or truth writing, early detection of disease or dysfunction, an illness, a mental illness, a physiological condition, a mental or emotional state, refinement of certain medical diagnoses and hence prevention, identification of how drugs influence disease processes, educational assessment and intervention, or any combination thereof.

3. A diagnosis method according to claim 1, wherein the characteristic indicators comprise spatial, temporal and pressure measures for each writing stroke.

4. A diagnosis method according to claim 3, wherein the characteristic indicators comprise one or more of the following indicators:

total length of writing on paper, stroke height, stroke width, stroke length, speed of writing, acceleration of writing, length of time the writing instrument stays in the air, length of time the writing instrument stays in on paper, the trajectory of the writing instrument in the air, pen tilt, azimuth, coefficient of variance, peak velocity, the pressure applied while writing or any combination thereof.

5. A diagnosis method according to claim 1, wherein analyzing the values of the recorded indicators comprises correlation between two or more recorded indicators.

6. A diagnosis method according to claim 1, wherein the list of characteristic indicators for a condition is established by giving a set of handwriting tasks to a first group known to have said condition and giving the same set of handwriting tasks to a control group known not to have said condition, and analyzing the recorded indicators of the two groups in order to establish which measured indicators characterize the first group.

7. A diagnosis method according to claim 1, wherein the list of characteristic indicators for a condition is established by giving a set of handwriting tasks to a person when the person is known to have said condition and then giving the same set of handwriting tasks to the same person when the person is known not to have said condition, and analyzing the recorded indicators of the two sets of handwriting tasks in order to establish which measured indicators characterize the person when having said condition.

8. A diagnosis method according to claim 1, wherein the handwriting tasks involves writing letters, numbers, drawings or any combination thereof.

9. A diagnosis method according to claim 1, further comprising the step of validating the handwriting analysis results with additional standardized tools.

10. A diagnosis method according to claim 1, wherein the handwriting data is collected by a digitizing tablet.

11. A diagnosis method according to claim 1, wherein the recording of the handwriting tasks of the person is done using multidimensional computerized systems.

12. A diagnosis method according to claim 1, wherein the handwriting tasks are functional, everyday tasks.

13. A diagnosis method according to claim 11, wherein the functional, everyday tasks comprise:

writing own name, writing the alphabet sequence from memory and copying a text.

14. A diagnosis method according to claim 1, further comprising the step of providing the person with a self-evaluation questionnaire and integrating the responses to the questionnaire in the diagnosis of the condition.

15. A diagnosis method according to claim 14, wherein the self-evaluation questionnaire comprises questions regarding possible implications on every day performance and participation in personal, social and professional activities.

16. A diagnosis system based on handwriting analysis, comprising:

(i) a list of characteristic indicators for each condition detectable while performing a set of handwriting tasks;

(ii) a digitizer on which the handwriting is done;

(iii) a recording unit for recording the handwriting tasks of a person according to multiple indicators; and

(iv) an analyzer for analyzing the recorded indicators in order to determine whether the person is diagnosed with said condition.

17. A diagnosis system according to claim 16, wherein said condition comprises:

a personality trait, a skill, an expertise, the classification of people into appropriate professions, legal purposes, deception or truth writing, early detection of disease or dysfunction, an illness, a mental illness, a physiological condition, a mental or emotional state, refinement of certain medical diagnoses and hence prevention, identification of how drugs influence disease processes, educational assessment and intervention, or any combination thereof.

18. A diagnosis system according to claim 16, wherein the characteristic indicators comprise spatial, temporal and pressure measures for each writing stroke.

19. A diagnosis system according to claim 16, wherein the characteristic indicators comprise one or more of the following indicators:

total length of writing on paper, stroke height, stroke width, stroke length, speed of writing, acceleration of writing, length of time the writing instrument stays in the air, length of time the writing instrument stays in on paper, the trajectory of the writing instrument in the air, pen tilt, azimuth, coefficient of variance, peak velocity, the pressure applied while writing or any combination thereof.

20. A diagnosis system according to claim 16, wherein the analyzer correlates between two or more recorded indicators.

21. A diagnosis system according to claim 16, wherein the list of characteristic indicators for a condition is established by giving a set of handwriting tasks to a first group known to have said condition and giving the same set of handwriting tasks to a control group known not to have said condition, and analyzing the recorded indicators of the two groups in order to establish which measured indicators characterize the first group.

22. A diagnosis system according to claim 16, wherein the list of characteristic indicators for a condition is established by giving a set of handwriting tasks to a person when the person is known to have said condition and then giving the same set of handwriting tasks to the same person when the person is known not to have said condition, and analyzing the recorded indicators of the two sets of handwriting tasks in order to establish which measured indicators characterize the person when having said condition.

23. A diagnosis system according to claim 16, wherein the handwriting tasks involves writing letters, numbers, drawings or any combination thereof.

24. A diagnosis system according to claim 16, wherein the handwriting analysis results from the analyzer are validated with additional standardized tools.

25. A diagnosis system according to claim 16, wherein the recording unit comprises one or more multidimensional computerized systems.

26. A diagnosis system according to claim 16, wherein the handwriting tasks are functional, everyday tasks.

27. A diagnosis system according to claim 16, wherein the functional, everyday tasks comprise:

writing own name, writing the alphabet sequence from memory and copying a text.

28. A diagnosis system according to claim 16, wherein the person is provided with a self-evaluation questionnaire and the responses to the questionnaire are integrated in the diagnosis of the condition.

29. A diagnosis system according to claim 28, wherein the self-evaluation questionnaire comprises questions regarding possible implications on every day performance and participation in personal, social and professional activities.

30. A diagnosis system according to any of claims 16 to 29, wherein the diagnosis system is a lie detector, a graphology analyzer or a tool for identification of how drugs influence disease processes.