WO2006106408B1 - System and method for estimation of human activity and mood states based on rapid eye movements and galvanic skin response - Google Patents

System and method for estimation of human activity and mood states based on rapid eye movements and galvanic skin response

Info

Publication number
WO2006106408B1
WO2006106408B1 PCT/IB2006/000782 IB2006000782W WO2006106408B1 WO 2006106408 B1 WO2006106408 B1 WO 2006106408B1 IB 2006000782 W IB2006000782 W IB 2006000782W WO 2006106408 B1 WO2006106408 B1 WO 2006106408B1
Authority
WO
WIPO (PCT)
Prior art keywords
activity
time
gsr
determining
data
Prior art date
Application number
PCT/IB2006/000782
Other languages
French (fr)
Other versions
WO2006106408A2 (en
WO2006106408A3 (en
Inventor
Serguei Bedziouk
Anatoly N Kostin
Yurij Ya Golikov
Original Assignee
Icon Orbital Technologies Corp
Serguei Bedziouk
Anatoly N Kostin
Yurij Ya Golikov
Priority date (The priority date is an assumption and is not a legal conclusion. Google has not performed a legal analysis and makes no representation as to the accuracy of the date listed.)
Filing date
Publication date
Application filed by Icon Orbital Technologies Corp, Serguei Bedziouk, Anatoly N Kostin, Yurij Ya Golikov filed Critical Icon Orbital Technologies Corp
Publication of WO2006106408A2 publication Critical patent/WO2006106408A2/en
Publication of WO2006106408A3 publication Critical patent/WO2006106408A3/en
Publication of WO2006106408B1 publication Critical patent/WO2006106408B1/en

Links

Classifications

    • A—HUMAN NECESSITIES
    • A61—MEDICAL OR VETERINARY SCIENCE; HYGIENE
    • A61B—DIAGNOSIS; SURGERY; IDENTIFICATION
    • A61B5/00—Measuring for diagnostic purposes; Identification of persons
    • A61B5/05—Detecting, measuring or recording for diagnosis by means of electric currents or magnetic fields; Measuring using microwaves or radio waves 
    • A61B5/053—Measuring electrical impedance or conductance of a portion of the body
    • A61B5/0531—Measuring skin impedance
    • A61B5/0533—Measuring galvanic skin response
    • A—HUMAN NECESSITIES
    • A61—MEDICAL OR VETERINARY SCIENCE; HYGIENE
    • A61B—DIAGNOSIS; SURGERY; IDENTIFICATION
    • A61B5/00—Measuring for diagnostic purposes; Identification of persons
    • A61B5/16—Devices for psychotechnics; Testing reaction times ; Devices for evaluating the psychological state
    • A61B5/165—Evaluating the state of mind, e.g. depression, anxiety
    • A—HUMAN NECESSITIES
    • A61—MEDICAL OR VETERINARY SCIENCE; HYGIENE
    • A61B—DIAGNOSIS; SURGERY; IDENTIFICATION
    • A61B5/00—Measuring for diagnostic purposes; Identification of persons
    • A61B5/24—Detecting, measuring or recording bioelectric or biomagnetic signals of the body or parts thereof
    • A61B5/316—Modalities, i.e. specific diagnostic methods
    • A61B5/398—Electrooculography [EOG], e.g. detecting nystagmus; Electroretinography [ERG]

Abstract

A method and system are provided for estimation of human activity and mood states based on registration of Inter Saccadic Intervals (ISl) In eye movements and Reactions of Activation of Galvanic Skin Response (GSR) . A method of a estimation of human activity by means of mental workload measurement Is employed, including compailsons of registered ISI movements of eyes with the borders of ranges of ISI which characterize time scales of regulation processes at dltlerent levels of various contents and complexity. Some embodiments additionally provide an estimation of regulation of mood states by means of measurement of parameters of Reactions of Activation (RA) of GSR, comparison of ISI In eye movements and duration of RA GSR as a result of which separation In time of processes of regulation of activity and regulation of mood states Is achieved.

Claims

AMENDED CLAIMS received by the International Bureau on November 27, 2006
18. A method of estimating human activity proficiency and mood states, based on measurement of rapid eye movements producing BOG data and measurements ofgalvanic skin responses producing OSR data, the method comprising the steps of: a. inputting the BOO data into π memory buffer; b. determining saccades in the inputted BOO data; c. computing an intcr-saccadic interval; d. inputting the OSR data into the memory buffer; e. determining a time ofbegiτirting and a time o f ending of a OSR Teaction of activation;
£ estimating the human activity proficiency by calculating values for:
A. a complexity of activity and mood states; and
B. a workload of activity and mood states; and g. basing the calculations an the determined saccades and the determined time of beginning and time of ending of the CrSR reaction of activation.
19. The method of claim 18 wherein the step of inputting the EOG data includes recording the EOG data from the output of an amplifier.
20. The method of cinim IS wherein the step of determining saccades includes using an automated saccade determination scheme.
21. The method of claim 1 S wherein the step of determining saccades includes comparing the velocity of an eye movement to a threshold velocity level
22. The method of claim 21 wherein the thershold velocity level is at least 5 degrees per second,
23. The method of claim 18 wherein the step of computing the intcr-saccadic interval includes determining the end of one saccade and the start of an adjacent saccade.
24. The method of claim 23 wherein the step of computing the intcr-saccadic interval further includes computing an interval between adjacent saccades.
25. The method of claim 24 further comprising the step of storing the computed interval in a memory buffer.
26. The method of claim 18 further comprising the step of realizing ISl taxonomy,
27. The method of claim 26 wherein the step of realizing ISl taxonomy includes comparing a registered TSI with borders of a plurality of TST taxons.
28. The method of claim 27 further comprising the step of establishing borders of five of the plurality of TST taxons as approximately: 0.03 seconds and 1.0 second; 0.9 seconds and 2.0 seconds; 1.9 seconds and 5.0 seconds; 4.6 seconds and 1 1.5 seconds; and 10.7 seconds and 30.0 seconds.
29. The method of claim 18 further comprising the step of recording the OSR data using a measuring equipment.
30. The method of claim 29 further comprising the step of measuring at least one of;
28 human skin resistance, human skin conductivity, and potential difference of human skin.
31. The method of claim 29 further comprising the steps of positioning electrodes on each of two fingers and passing an electric current between the electrodes.
32. The method of claim 18 wherein the step of determining the time of the beginning and the time oflhe ending of the GSR reaction of activation includes responding to α decrease and to an increase in inputted GSR data.
33..The method of claim 31 wherein the step of determining the time of the beginning and the time of the ending of the GSR reaction of activation includes responding to a decrease and to an increase in measured values of resistance of human skin.
34. The method of claim 31 wherein the step of determining the time of the beginning -and the lime of the ending of the GSR reaction of activation includes determining the beginning of the GSR reaction of activation as occurring when measured skin resistance amplitude decreases by more than at least 1% within a time duration on the order of seconds.
35. The method of claim 31 wherein the step of determining the time of the beginning and the time of the ending of the GSR reaction of activation includes determining the ending of the GSR reaction of activation as occurring when measured skin resistance amplitude increases by more than at least 1% within a time duration on the order of seconds.
36. The method of claim 18 wherein the step of estimating the human activity proficiency includes checking for coincidence between an ISI and a GSR reaction of activation.
37. The method of claim 36 wherein the step of estimating the human activity proficiency further includes comparing a taxonomy of an ISI to a duration ofa coincident GSR reaction of activation.
38. The method of claim 1 S wherein the step oF calculating values further includes the step of approximating the current complexity of activity and mood stales, using:
where: C1 is the current complexity of activity and mood states for a registered ISi, i is α registered ISI number, β| is a maximal border of ataxonto which the registered TSI belongs, mid Bi is a maximal border of a first TST taxon.
39. The method of claim 18 wherein the step of calculating values further includes the step of approximating the current workload of activity and moad states, using:
W1 = t.
B\ where; Wi is the current workload of activity and mood stales for a registered 1ST, i is a registered TST number, Bi is the maximal border of α tαxon to which the registered ISI belongs. B | is the maximal border of the first TST laxoπ, andti is a duration of the registered ISl.
40. The method of claim 38 wherein the slep of estimating the human activity
29
AMENDED SHEtT (ARTICLE 19) proficiency further includes the step of approximating a total complexity of activity and mood states, using: i N
where: C is the total complexity of activity and mood states, Cf is the current complexity of activity and mood states for the i1'1 registered ISl, and N is the largest numerical value of i.
41. The method of claim 39 wherein the step of estimating the human activity proficiency further includes the step of approximating a total workload of activity and mood states, using:
W = JW1
/=1 where: W is the total Workload activity and mood states, Wi is the current workload of activity and mood stales for the iϋl registered TST, and N is the largest numerical value of i.
42. An apparatus for estimating human activity proficiency based on rapid eye movements and galvanic skin response, comprising: a. a means for determining saccades hi inputted EOO data; b. a means for computing an inter.'-saccadic interval; c. a means for determining a lime of beginning and a time of ending of a GSB. reaction of activation; and d. an analysis module enabled for calculating values for a complexity of activity and mood states and for a workload of activity and mood states thereby estimating the human activity proficiency; and further enabled for basing the calculations on the determined saccades and the determined time of beginning and time of ending of the GSR reaction of activity.
43. The apparatus of claim 42 further comprising a sensor for inputting EOG data and a sensor for inputting GSR data.
44. A computer-readable medium including statements and instructions which, when' executed by a computer, cause the computer to perform the steps of: a. determining saccades in inputted EOG data; b. ■ computing an inier-sαccadic interval; c. determining a time of beginning and a time of ending of a GSR reaction of activation; and d. estimating a. human activity proficiency by calculating values for a complexity of activity and mood states, and a workload of activity and mood states, wherein the calculations are based on the determined saccades and the determined lime of beginning and time of ending of the • GSR reaction of activity.
45. A method for communicating data for estimating a human activity proficiency, comprising the steps of: generating and propagating «i carrier wave and impressing a signal on the carrier wave; the signal comprising at least: α. a first data segment enabled for determining saccades in inputted BOG data; b. a second data segment enabled for computing an intcr-$accadic interval; c. a third data segment enabled for determining a time of beginning and a time of ending of a GSR reaction of activation; and d. a fourth data segment enabled for calculating values for a complexity of activity and mood states, and a workload of activity and mood states; the calculations based on the determined saccades and the determined lime of beginning and time of ending of the GSR reaction of activity thereby enabling estimating a human activity proficiency.
PCT/IB2006/000782 2005-04-04 2006-04-04 System and method for estimation of human activity and mood states based on rapid eye movements and galvanic skin response WO2006106408A2 (en)

Applications Claiming Priority (2)

Application Number Priority Date Filing Date Title
US66768005P 2005-04-04 2005-04-04
US60/667,680 2005-04-04

Publications (3)

Publication Number Publication Date
WO2006106408A2 WO2006106408A2 (en) 2006-10-12
WO2006106408A3 WO2006106408A3 (en) 2006-11-23
WO2006106408B1 true WO2006106408B1 (en) 2007-09-07

Family

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Family Applications (1)

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Country Status (1)

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WO (1) WO2006106408A2 (en)

Families Citing this family (3)

* Cited by examiner, † Cited by third party
Publication number Priority date Publication date Assignee Title
CN103892830B (en) * 2014-04-01 2016-01-20 新加坡情桥私人有限公司 A kind of emotion detection method based on Human skin resistance's change and system
CN109884588B (en) * 2019-01-16 2020-11-17 北京大学 Distance measurement method and system for pulse sequence
CN113243917B (en) * 2021-05-18 2023-05-12 中国民用航空总局第二研究所 Fatigue detection method and device for civil aviation controller, electronic equipment and medium

Family Cites Families (3)

* Cited by examiner, † Cited by third party
Publication number Priority date Publication date Assignee Title
US5295491A (en) * 1991-09-26 1994-03-22 Sam Technology, Inc. Non-invasive human neurocognitive performance capability testing method and system
US6102846A (en) * 1998-02-26 2000-08-15 Eastman Kodak Company System and method of managing a psychological state of an individual using images
ATE412369T1 (en) * 2004-09-03 2008-11-15 Canadian Space Agency SYSTEM AND METHOD FOR MEASURING MENTAL WORKLOAD BASED ON RAPID EYE MOVEMENTS

Also Published As

Publication number Publication date
WO2006106408A2 (en) 2006-10-12
WO2006106408A3 (en) 2006-11-23

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