Fatigue estimation device and electronic apparatus having the fatigue estimation device mounted thereon
First Claim
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1. A fatigue estimation device comprising:
- an activity level detector configured to continuously detect a user'"'"'s movement from a user'"'"'s body motion and to quantify body motion of a user as an activity level,the fatigue estimation device configured to output, to a fatigue level estimator, the activity level detected by the activity level detector, the fatigue level estimator configured to estimate a user'"'"'s fatigue level based on the activity level, and whereinthe fatigue level estimator is configured to estimate a fatigue level by detecting whether or not there is a tendency that a continuously high activity level becomes low for several tens of seconds corresponding to a time period during which the user stops the user'"'"'s movement regardless of the user'"'"'s will to continue the movement andwherein the fatigue level estimator is configured to detect the tendency of the activity level by a combination of statistical analyses of the activity level, the combination including skewness and average of the quantified body motion,wherein the skewness is the amount of asymmetry about the average.
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Abstract
A body motion detection section (2) for continuously detecting the frequency of a user'"'"'s activity as an activity level is provided. The activity level detected by the body motion detection section (2) is outputted to a fatigue detection section (3) for estimating a user'"'"'s fatigue level on the basis of the activity level.
46 Citations
33 Claims
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1. A fatigue estimation device comprising:
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an activity level detector configured to continuously detect a user'"'"'s movement from a user'"'"'s body motion and to quantify body motion of a user as an activity level, the fatigue estimation device configured to output, to a fatigue level estimator, the activity level detected by the activity level detector, the fatigue level estimator configured to estimate a user'"'"'s fatigue level based on the activity level, and wherein the fatigue level estimator is configured to estimate a fatigue level by detecting whether or not there is a tendency that a continuously high activity level becomes low for several tens of seconds corresponding to a time period during which the user stops the user'"'"'s movement regardless of the user'"'"'s will to continue the movement and wherein the fatigue level estimator is configured to detect the tendency of the activity level by a combination of statistical analyses of the activity level, the combination including skewness and average of the quantified body motion, wherein the skewness is the amount of asymmetry about the average. - View Dependent Claims (2, 4, 7, 10, 11, 12, 13, 14, 15, 16, 17, 26, 31)
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3. A fatigue estimation device comprising:
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an activity level detector configured to continuously quantify a frequency of a user'"'"'s activity as an activity level, the fatigue estimation device configured to output the activity level quantified by the activity level detector to a fatigue level estimator, the fatigue level estimator configured to estimate a fatigue level by (i) removing a long-term fluctuation component from the activity level by differentiating the activity level with respect to time and (ii) detecting whether or not there is a tendency that an continuously high activity level becomes low for a shorter time than a time period in which the high activity level is detected, the shorter time corresponding to a time period during which the user stops the user'"'"'s movement regardless of the user'"'"'s will to continue the movement and wherein the fatigue level estimator is configured to detect the tendency of the activity level by a combination of statistical analyses of the activity level, the combination including skewness and average of the quantified frequency of a user'"'"'s activity, wherein the skewness is the amount of asymmetry about the average. - View Dependent Claims (27, 32)
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5. A fatigue estimation device comprising:
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an activity level detector configured to continuously quantify a frequency of a user'"'"'s activity as an activity level, the fatigue estimation device configured to output the activity level detected by the activity level detection section to a fatigue level estimator, the fatigue level estimator configured to estimate a fatigue level by (i) obtaining a regression curve of the activity level, (ii) removing the regression curve from the activity level as a long-term fluctuation component of the activity level, and (iii) detecting whether or not there is a tendency of the activity level that a continuously high activity level becomes low for a shorter time than a time period in which the high activity level is detected, the shorter time corresponding to a time period during which the user stops the user'"'"'s movement regardless of the user'"'"'s will to continue the movement and wherein the fatigue level estimator is configured to detect the tendency of the activity level by a combination of statistical analyses of the activity level, the combination including skewness and average of the quantified frequency of a user'"'"'s activity, wherein the skewness is the amount of asymmetry about the quantified frequency of a user'"'"'s activity. - View Dependent Claims (28, 33)
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6. A fatigue estimation device comprising:
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an activity level detector configured to continuously detect a frequency of a user'"'"'s activity as an activity level, the fatigue estimation device configured to output, to a fatigue level estimator, the activity level detected by the activity level detection section, the fatigue level estimator configured to estimate a user'"'"'s fatigue level on a basis of the activity level and to correct an allowable range of the fatigue level to a predetermined range, wherein the fatigue level estimator is configured to correct the allowable range of the fatigue level to the predetermined range by using a sigmoid function for changing an output value in response to a change of an input value in such a manner that the output value is changed with a higher sensitivity for an input value in a vicinity of a specific value, than for an input value which is not in a vicinity of the specific value. - View Dependent Claims (29)
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8. A fatigue estimation device comprising:
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an activity level detector configured to continuously detect, as an activity level which is a frequency of a user'"'"'s activity, a number of times acceleration of movements of a user'"'"'s entire body or a part of the body changes, the fatigue estimation device configured to output, to a fatigue level estimator, the activity level detected by the activity level detector, the fatigue level estimator configured to estimate a user'"'"'s fatigue level on a basis of the activity level, the fatigue level estimator providing a plurality of thresholds, and estimating, for each of the thresholds, the user'"'"'s fatigue level based on a combination of statistical analyses of an elapsed time between a time when the acceleration changes from a value higher than the threshold to a value lower than the threshold and a time when the acceleration changes from a value lower than the threshold to a value higher than the threshold, the statistical analyses being made with the use of at least skewness. - View Dependent Claims (9, 30)
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18. A fatigue warning device comprising:
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a fatigue estimation device comprising, an activity level detector configured to continuously detect a user'"'"'s movement from a user'"'"'s body motion and to quantify body motion of a user as an activity level, the fatigue estimation device configured to output, to a fatigue level estimator, the activity level detected by the activity level detector, the fatigue level estimator configured to estimate a user'"'"'s fatigue level based on the activity level, wherein the fatigue level estimator is configured to estimate a fatigue level by detecting whether or not there is a tendency that a continuously high activity level becomes low for several tens of seconds corresponding to a time period during which the user stops the user'"'"'s movement regardless of the user'"'"'s will to continue the movement and wherein the fatigue level estimator is configured to detect the tendency of the activity level by a combination of statistical analyses of the activity level, the combination including skewness and average of the quantified body motion, wherein the skewness is the amount of asymmetry about the average; a fatigue warning processor configured to determine a degree of a fatigue level estimated by the fatigue level estimation section and to determine whether to issue a warning concerning user'"'"'s fatigue, and a fatigue presentation device configured to present the warning on the basis of the determination of the fatigue warning processor. - View Dependent Claims (19, 20)
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21. An electronic apparatus comprising:
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a fatigue estimation device comprising, an activity level detector configured to continuously detect a user'"'"'s movement from a user'"'"'s body motion and to quantify body motion of a user as an activity level, the fatigue estimation device configured to output, to a fatigue level estimator, the activity level detected by the activity level detector, the fatigue level estimator configured to estimate a user'"'"'s fatigue level based on the activity level, wherein the fatigue level estimator is configured to estimate a fatigue level by detecting whether or not there is a tendency that a continuously high activity level becomes low for several tens of seconds corresponding to a time period during which the user stops the user'"'"'s movement regardless of the user'"'"'s will to continue the movement, wherein the fatigue level estimator is configured to detect the tendency of the activity level by a combination of statistical analyses of the activity level, the combination including skewness and average of the quantified body motion, wherein the skewness is the amount of asymmetry about the average; and a fatigue warning device. - View Dependent Claims (22, 23)
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24. A fatigue estimation method comprising:
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detecting an activity level by continuously detecting a frequency of a user'"'"'s activity by quantifying body motion of a user as the activity level by using an activity level detector provided in a fatigue estimation device, and outputting the activity level detected at the activity level detection step, to a fatigue level estimator for estimating a user'"'"'s fatigue level based on an activity level, and wherein the fatigue level estimator estimates a fatigue level by detecting whether or not there is a tendency that a continuously high activity level becomes low for several tens of seconds corresponding to a time period during which the user stops the user'"'"'s movement regardless of the user'"'"'s will to continue the movement, wherein the fatigue level estimator is configured to detect the tendency of the activity level by a combination of statistical analyses of the activity level, the combination including skewness and average of the quantified body motion, wherein the skewness is the amount of asymmetry about the average.
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25. A non-transitory tangible computer-readable medium storing computer-implementable instructions that when executed by a processor execute a fatigue estimation method, the method comprising:
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detecting an activity level by continuously detecting a frequency of a user'"'"'s activity by quantifying body motion of a user as the activity level by using an activity level detector provided in a fatigue estimation device, and outputting the activity level detected at the activity level detection step, to a fatigue level estimator for estimating a user'"'"'s fatigue level based on an activity level, and wherein the fatigue level estimator estimates a fatigue level by detecting whether or not there is a tendency that a continuously high activity level becomes low for several tens of seconds corresponding to a time period during which the user stops the user'"'"'s movement regardless of the user'"'"'s will to continue the movement, wherein the fatigue level estimator is configured to detect the tendency of the activity level by a combination of statistical analyses of the activity level, the combination including skewness and average of the quantified body motion, wherein the skewness is the amount of asymmetry about the average.
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Specification
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Current AssigneeSharp Kabushiki Kaisha (Hon Hai Precision Industry Co., Ltd.), University of Tokyo
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Original AssigneeSharp Kabushiki Kaisha (Hon Hai Precision Industry Co., Ltd.), University of Tokyo
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InventorsNakagawa, Katsuya, Yamamoto, Yoshiharu, Struzik, Zbigniew, Nakamura, Toru, Sone, Motoki
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Primary Examiner(s)Dougherty, Sean
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Assistant Examiner(s)Stout, Michael C
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Application NumberUS12/302,768Publication NumberTime in Patent Office2,786 DaysField of Search600/587, 600/595US Class Current600/595CPC Class CodesA61B 2562/0219 Inertial sensors, e.g. acce...A61B 5/1118 Determining activity levelA61B 5/681 Wristwatch-type devicesA61B 5/6887 mounted on external non-wor...A61B 5/726 using Wavelet transformsG08B 21/06 indicating a condition of s...
