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US5601090A
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Method and apparatus for automatically determining somatic state
Assignee: BRAIN FUNCTIONS LABORATORY Inc
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Filing: 1994-07-12
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Granted: 1997-02-11
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Expires: 2014-07-12
Abstract
Abstract An apparatus and a method for automatically determining the present somatic state of a human subject. The characteristic values of the subject (e.g., scalp potential, muscle potential, heart-rate, eye-movement and frequency of eye blinks, or any combination thereof) are detected and output signals corresponding to the detected characteristic values are produced, amplified and digitized. The Fourier transformation is performed on the output signals. A set of state variables for each selected frequency sub-band of a selected frequency band for each of the output signals is determined. Sets of reference weights and sets of reference biases for a neural network from sets of state reference variables corresponding to known somatic states are formed. Each of the sets of state variables, the sets of reference weights and the sets of reference biases are applied to the neural network to determine present somatic state of the subject. The present somatic state of the subject is displayed.
Inventors
- 👤 Toshimitsu Musha
Bibliographic Details
Application Number
—
Jurisdiction
US
Data Source
google_patents
Last Synchronized
2026-10-23 13:59
CPC Classifications
A; A61; A61B; A61B5/00; A61B5/16; A61B5/24; A61B5/316; A61B5/369; A61B5/375; A61B5/377; A61B5/378; A61B5/38; A61B5/72; A61B5/7235; A61B5/7253; A61B5/7257; A61B5/7264; G; G16; G16H; G16H50/00; G16H50/20; Y; Y10; Y10S; Y10S128/00; Y10S128/92; Y10S128/925
Claims Analysis
Total Claims: 24
Claim 1
Independent Claim
196 words
Apparatus for automatically determining a present somatic state of a human subject, comprising: a plurality of sensors which produce output signals for detecting characteristic values of said subject when affixed to a body of said subject; amplifiers for amplifying said output signals; a processor for: digitizing said output signals, performing Fourier transformations on said digitized output signals, determining a set of state variables for each of a plurality of selected frequency sub-bands of a selected frequency band for each of said output signals, containing sets of reference weights and sets of reference biases for a neural network, wherein each of said sets of reference weights and each of said sets of reference biases is formed from a set of state reference variables corresponding to a known somatic state, and applies each of said sets of state variables, and sets of reference weights and said sets of reference biases to said neural network to determine present somatic state of said subject; and a display for displaying the present somatic state of said subject; wherein: the present somatic state is an emotional state selected from the group consisting of joy, anger, happiness, sadness, elation, surprise, disgust and fear.
Claim 2
Dependent Claim
196 words
Apparatus for automatically determining a present somatic state of a human subject, comprising: a plurality of sensors which produce output signals for detecting characteristic values of said subject when affixed to a body of said subject; amplifiers for amplifying said output signals; a processor for: digitizing said output signals, performing Fourier transformations on said digitized output signals, determining a set of state variables for each of a plurality of selected frequency sub-bands of a selected frequency band for each of said output signals, containing sets of reference weights and sets of reference biases for a neural network, wherein each of said sets of reference weights and each of said sets of reference biases is formed from a set of state reference variables corresponding to a known somatic state, and applies each of said sets of state variables, and sets of reference weights and said sets of reference biases to said neural network to determine present somatic state of said subject; and a display for displaying the present somatic state of said subject; wherein: the present somatic state is an emotional state selected from the group consisting of joy, anger, happiness, sadness, elation, surprise, disgust and fear.
Claim 3
Dependent Claim
23 words
The apparatus of claim 1 wherein said plurality of sensors detects scalp potential at a plurality of points on scalp of said subject.
Claim 4
Dependent Claim
23 words
The apparatus of claim 1 wherein said plurality of sensors detect muscle potential at a plurality of points on body of said subject.
Claim 5
Dependent Claim
15 words
The apparatus of claim 1 wherein said plurality of sensors detect heart-rate of said subject.
Claim 6
Dependent Claim
16 words
The apparatus of claim 1 wherein said plurality of sensors detect eye movements of said subject.
Claim 7
Dependent Claim
18 words
The apparatus of claim 1 wherein said plurality of sensors detect frequency of eye blinks of said subject.
Claim 8
Dependent Claim
25 words
The apparatus of claim 1 wherein said set of state variables is created from cross-correlating pairs of spectral power values of the sensor output signals.
Claim 9
Dependent Claim
23 words
The apparatus of claim 1 wherein said processor means determines said set of state variables from spectral power of each digitized output signal.
Claim 10
Independent Claim
18 words
The apparatus of any one of claims 1 through 8 wherein said selected frequency band is α band.
Claim 11
Independent Claim
17 words
The apparatus of one of claims 1 through 8 wherein said selected frequency band is α band.
Claim 12
Independent Claim
18 words
The apparatus of any one of claims 1 through 8 wherein said selected frequency band is γ band.
Claim 13
Independent Claim
163 words
A method for automatically determining a present somatic state of a human subject, comprising the steps of: detecting characteristic values of said subject and producing output signals corresponding to said characteristic values; amplifying said output signals; digitizing said output signals; performing Fourier transformations on said digitized output signals; determining a set of state variables for each of a plurality of selected frequency sub-band of a selected frequency band for each of said output signals; forming sets of reference weights and sets of reference biases for a neural network from sets of state reference variables corresponding to known somatic states; applying each of said sets of state variables, said sets of reference weights and said sets of reference biases to said neural network to determine present somatic state of said subject; and displaying the present somatic state of said subject; wherein: the present somatic state is an emotional state selected from the group consisting of joy, anger, happiness, sadness, elation, surprise, disgust and fear.
Claim 14
Independent Claim
163 words
A method for automatically determining a present somatic state of a human subject, comprising the steps of: detecting characteristic values of said subject and producing output signals corresponding to said characteristic values; amplifying said output signals; digitizing said output signals; performing Fourier transformations on said digitized output signals; determining a set of state variables for each of a plurality of selected frequency sub-band of a selected frequency band for each of said output signals; forming sets of reference weights and sets of reference biases for a neural network from sets of state reference variables corresponding to known somatic states; applying each of said sets of state variables, said sets of reference weights and said sets of reference biases to said neural network to determine present somatic state of said subject; and displaying the present somatic state of said subject; wherein: the present somatic state is an emotional state selected from the group consisting of joy, anger, happiness, sadness, elation, surprise, disgust and fear.
Claim 15
Dependent Claim
26 words
The method of claim 12 wherein said step of detecting characteristic values comprises detecting scalp potential at a plurality of points on scalp of said subject.
Claim 16
Dependent Claim
26 words
The method of claim 12 wherein said step of detecting characteristic values comprises detecting muscle potential at a plurality of points on body of said subject.
Claim 17
Dependent Claim
18 words
The method of claim 12 wherein said step of detecting characteristic values comprises detecting heart-rate of said subject.
Claim 18
Dependent Claim
19 words
The method of claim 12 wherein said step of detecting characteristic values comprises detecting eye movements of said subject.
Claim 19
Dependent Claim
21 words
The method of claim 12 wherein said step of detecting characteristic values comprises detecting frequency of eye blinks of said subject.
Claim 20
Dependent Claim
27 words
The method of claim 12 wherein said step of determining said set of state variables comprises cross-correlating pairs of spectral power values of the sensor output signals.
Claim 21
Dependent Claim
24 words
The method of claim 12 wherein said step of determining said set of state variables comprises determining spectral power of each digitized output signal.
Claim 22
Independent Claim
18 words
The method of any one of claims 12 through 19 wherein said selected frequency band is α band.
Claim 23
Independent Claim
18 words
The method of any one of claims 12 through 19 wherein said selected frequency band is β band.
Claim 24
Independent Claim
18 words
The method of any one of claims 12 through 19 wherein said selected frequency band is γ band.
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USPTO Annuity & Maintenance Windows
| Annuity Stage | Window Opens | Payment Deadline | Surcharge Period Until | Estimated Fee | Status |
|---|---|---|---|---|---|
| 3.5 Years (Year 4) | 2000-02-11 | 2000-08-12 | 2001-02-11 | $2000.00 | Window Closed / Lapsed |
| 7.5 Years (Year 8) | 2004-02-11 | 2004-08-12 | 2005-02-11 | $3760.00 | Window Closed / Lapsed |
| 11.5 Years (Year 12) | 2008-02-11 | 2008-08-12 | 2009-02-11 | $7700.00 | Window Closed / Lapsed |