in the following , the description of embodiments of the present invention will be described in detail with reference to the drawings . in the following example , with the use of the biophotonic measurement technique , objective living body information obtained from measured results and subjective information that the subject feels are acquired , and the difference or correlation between them are displayed . for the outlines , following new findings are used that the deviation between objective mood information obtained from a brain activity signal reflecting the memorization and retention of working memories and subjective mood information that a subject feels relates to how the subject recovers from mental illness such as a depressive disorder . subjects targeted for assessment are people who are working on rehabilitation at a special facility among people who leave or temporarily leave from their work because of mental illness such as depressive disorders , for example . a plurality of subjects was continuously subjected to measurements below , and findings to solve the problem were obtained . as illustrated in fig3 ( a ) , a biophotonic measurement probe 3000 having an alternating 2 × 8 arrangement of eight irradiation points 3001 and eight detection points 3002 is attached to a frontal lobe region , and haemoglobin ( hb ) signals are acquired as brain activity data from 22 measurement channels ( ch ). at this time , the positions of the measurement points on a cerebral cortex surface 3010 are located as illustrated in fig3 ( b ) , and the channel numbers of the measurement points are designated from one to 22 . two types of tasks , a spatial working memory task and a verbal working memory task , are given to a subject , and brain activities to the tasks are assessed . the outline of the spatial working memory task is illustrated in fig3 . a target image ( s 1 ) is shown for 1 . 5 seconds . the target image includes white squares at four or two places , and the others are gray squares among eight squares disposed around the center of a fixation point . after a lapse of seven seconds , a probe image ( s 2 ) is shown . the probe image has one white square among eight squares . the subject is taught to memorize the positions of the white squares on the image s 1 first shown and to determine whether the white square on the image s 2 is matched with any one of the memorized positions of the white squares . the outline of the verbal working memory task is illustrated in fig4 . a target image ( s 1 ) is shown for 1 . 5 seconds . the target image ( s 1 ) includes hiragana characters displayed at four or two places around the center of a fixation point . after a lapse of seven seconds , a probe image ( s 2 ) having a katakana character is shown . the subject memorizes the characters on the first image s 1 and to determine whether the katakana character on s 2 subsequently shown is matched with any one of the characters first memorized . by using different types of kana characters in s 1 and s 2 , the subject memorizes phonological information , not form information of the character . to both of the spatial working memory task and the verbal working memory task , the subject gives an answer by pressing down a button on an input unit such as a keyboard , a controller , and a mouse . in analysis , oxygenated and deoxygenated hemoglobin signals are calculated from time series data measured at each channel of each subject . a period of 8 . 5 seconds between the presentation of the first image ( s 1 ) for the working memory task and the presentation of the second image ( s 2 ) is defined as a task period . a period of 25 . 5 seconds including a period of one second before the task period and a period of 16 seconds after the task period is defined as a single block . data in each block is baseline - corrected with a line which is fitted for the first one second and the last four seconds in each block . it is without saying that a time period defined as a single block is not limited to the description above and the length of a time period for the task and a time period for acquisition before and after a task can be appropriately changed . in order to assess the correlation between the brain activity of the working memory tasks described above and a mood state of the subject , the mood state score was acquired using a mood chart to assess the mood state . this mood chart quantifies the state of the subject &# 39 ; s mood such as depression , willingness , and an emotional high by a score ranging from zero ( the depressed state ) to 120 ( restless , excited ). the subject records scores based on the mood chart three times a week at the special facility that supports reinstatement . here , this is called “ a subjective score ”. moreover , clinical psychologists who manage and carry out reinstatement training observe how the subject spends a day , and objectively record a score of the mood chart based on the observed result . this is called “ a psychologist score ”. the correlation of the hemoglobin signals with both “ the subjective score ” and “ the psychologist score ” expressing the mood state of the subject was assessed . in the investigation of the hemoglobin signals , the amplitude of a brain activity ( act ) is defined as the mean value of oxygenated hemoglobin signals in a period from five seconds to 8 . 5 seconds after the onset of the presentation of s 1 , and the correlation between the act and the subjective and psychologist scores was investigated . the results show that the mean correlation coefficient between act ( s ) for the spatial working task and the psychologist score is negative ( fig3 ( a ) ). moreover , it was found that there is a positive correlation between act ( v ) for the verbal working memory task and the psychologist score ( fig3 ( b ) ). based on this result , the difference ( act ( v - s )) between act ( v ) for the verbal working memory task and act ( s ) for the spatial working memory task was defined by ( equation 1 ), and a correlation with the psychologist score was confirmed . as a result , it was revealed that act ( v - s ) expresses the positive correlation with the psychologist score ( fig3 ( c ) ). on the other hand , it was not found that the subjective score has a clear tendency like the psychologist score ( fig3 ( a ), 32 ( b ) , and 32 ( c )). the results above show that the difference ( act ( v - s )) in the brain activity value between the verbal and spatial working memory tasks measured using biophotonic measurement expresses the psychologist score objectively described by the clinical psychologist . on the other hand , it is observed that the subjective score measured by the subject him / herself deviates from the brain activity or the psychologist score depending on subjects and the times , and it is likely that subjective information does not always correctly reflect the mood . therefore , subjects were separated into two groups according to the deviation between the psychologist score and the subjective score , and the mean correlation coefficient of act ( v - s ) with the subjective score for each group was calculated . it was observed that the group with a small deviation has a tendency of a positive correlation similar to the psychologist score ( fig3 ( a ) ) whereas the group with a large deviation has an opposite tendency ( fig3 ( b ) ). moreover , act ( v - s ) and the subjective scores of the individual subjects are separated into two periods according to the process of recovery based on the opinion of the clinical psychologist . it was revealed that the positive correlation is shown between act ( v - s ) and the subjective score at the appropriate period for return - to - work which the clinical psychologists judged , whereas no clear correlation is observed at the inappropriate period for return - to - work ( fig3 ). the results above show that the correlation coefficient and the matching degree between act ( v - s ) and the subjective score are indicators to objectively grasp the state of the subject him / herself and give criteria to judge the recovery stage from a depressive disorder , for example . as described above , it is a novel method to assess the state of subject by quantifying the relationship between living body information obtained by the biophotonic measurement technique and subjective information of the subject him / herself . based on the findings described above , specific configurations and procedures of a biological state assessment device will be described below as embodiments . fig1 is a schematic block diagram of a biological state assessment device . the biological state assessment device according to this embodiment includes a biophotonic measurement unit 100 that irradiates a subject with light and detects light transmitted through or reflected off the subject for biophotonic measurement , a display unit 110 that shows a stimulus to the subject and displays a biophotonic measurement result , an operating unit 111 that shows a stimulus on the display unit 110 , gives various manners of control to the biophotonic measurement unit 100 , and analyzes and displays the biophotonic measurement result on the display unit 110 , an input unit 112 that accepts inputs of subjective information about the subject and answers to tasks analyzed at the operating unit 111 and various items of information necessary for analysis , and a storage unit 109 that stores the biophotonic measurement result and information about the shown tasks . here , the operating unit 111 includes a stimulus presentation unit 111 a that shows a stimulus on the display unit 110 , a measurement control unit 111 b that gives various manners of control to the biophotonic measurement unit 100 , and an analyzing unit 111 c that analyzes and displays the biophotonic measurement result on the display unit 110 . moreover , the biophotonic measurement unit 100 is a unit that emits light at two different wavelengths in wavelengths ranging from about 600 to 900 nm , which are highly transmitted through a living body . more specifically , the biophotonic measurement unit 100 includes digital - to - analog converters 101 a and 101 b that convert digital signals d 1 a and d 1 b sent from the measurement control unit 111 b into analog signals a 1 a and a 1 b , modulators 102 a and 102 b that modulate the analog signals a 1 a and a 1 b at predetermined different frequencies f 1 a and f 1 b and generate light source driving signals l 1 a and l 1 b , light sources 103 a and 103 b that emit light at different wavelengths based on the light source driving signals l 1 a and l 1 b such as a laser diode and an led , an optical mixer 105 that mixes light emitted from the light sources 103 a and 103 b , an optical fiber bundles 900 that guides the light mixed at the optical mixer 105 to a subject , an irradiation unit 1041 that emits light guided thorough the optical fiber bundles 900 to the subject , a light receiving unit 1061 that receives light transmitted or reflected off the inside of the subject in the light emitted from the irradiation unit 1041 , a measurement point 1001 that is formed at nearly a middle point between a combination of the irradiation unit 1041 and the light receiving unit 1061 , a photodetector 106 that detects the light received at the light receiving unit 1061 and guided through the optical fiber bundles 900 such as a silicon photodiode , an avalanche photodiode , and a photomultiplier , lock - in amplifiers 107 a and 107 b that subject an analog signal a 2 outputted from the photodetector 106 to lock - in processing at the different frequencies f 1 a and f 1 b , and analog - to - digital converters 108 a and 108 b that convert the analog signals a 3 a and a 3 b into digital signals d 3 a and d 3 b , respectively , and sends the signals to the measurement control unit 111 b . in the schematic configuration , the biological state assessment device according to the embodiment carries on processes according to a flowchart in fig2 . first , in step s 201 , according to the control of the measurement control unit 111 b of the operating unit 111 , the irradiation unit 1041 starts to irradiate a subject 800 with light , and the light receiving unit 1061 starts to receive the light transmitted through or reflected off the inside of the subject 800 , and acquires a biological signal from the measurement point 1001 . subsequently , in step s 202 , the stimulus presentation unit 111 a of the operating unit 111 displays one or a plurality of first tasks assigned to the subject 800 on the display unit 110 , accepts a response or an answer to the first task by the subject 800 , and sends it to the input unit 112 . here , the first task is a spatial working memory task as illustrated in fig3 , for example , that the positions of a plurality of white squares included in a target stimulus are memorized and retained , and after a lapse of a few seconds , the positions are recalled and determined with a probe stimulus . subsequently , in step s 203 , the stimulus presentation unit 111 a of the operating unit 111 displays one or a plurality of second tasks on the display unit 110 , accepts a response or an answer to the second task by the subject 800 from the input unit 112 , and sends it to the analyzing unit 111 c . here , for example , the second task is a verbal working memory task requiring a phonological loop that a symbol or a character shown as a target stimulus is memorized , retained , and recalled and determined with a probe stimulus after a lapse of a few seconds as illustrated in fig4 . subsequently , in step s 204 , the measured control unit 111 b stops acquiring biological signals from the measurement point 1001 , and sends the measurement result of the biological signals to the analyzing unit 111 c . subsequently , in step s 205 , the analyzing unit 111 c stores the measurement result of the biological signals on the storage unit 109 . subsequently , in step s 206 , based on the measurement result of the biological signals , a brain activity value act_ 1 for the first task and a brain activity value act_ 2 for the second task are calculated , and a mood index mood_index is calculated as a relative value between act_ 1 and act_ 2 according to ( equation 2 ). ( equation 2 ) is an equation that converts the relative value between act_ 1 and act_ 2 into a value ranging from one to 100 . moreover , in step s 208 , the stimulus presentation unit 111 a displays criteria to acquire subjective information about the subject 800 as a numeric value as illustrated in fig5 , for example , on the display unit 110 , accepts subjective information mood_sub about the subject 800 from the input unit 112 , and sends the information to the analyzing unit 111 c . here , additionally , it may be fine that the input of the subjective information is accepted in step s 208 before starting measurement in step s 201 or after calculating the mood index mood_index in step s 206 , as long as the subjective information is accepted before the subsequent step s 207 . subsequently , in step s 207 , a deviation between the mood index mood_index and the subjective information mood_sub is calculated and displayed . here , according to ( equation 3 ), for example , a gap mood_gap between the subjective information mood_sub and the mood index mood_index is calculated , the mood index mood_index and the subjective information mood_sub are expressed on a bar 601 displayed on the display unit 110 , and the numeric value of the calculated mood_gap is displayed as illustrated in fig6 . moreover , it is also possible as illustrated in fig7 that the time course data of the brain activity value for the first task and the brain activity value for the second task are displayed , the mood index mood_index and the subjective information mood_sub are expressed on the bar 601 , and the numeric value of the calculated mood_gap is displayed . alternatively , a ratio mood_gap_r of the difference between the subjective information mood_sub and the mood index mood_index is calculated according to ( equation 4 ), the mood index mood_index and the subjective information mood_sub are expressed on the bar 601 displayed on the display unit 110 , and the numeric value of the calculated mood_gap_r is displayed as illustrated in fig8 . moreover , it is also possible as illustrated in fig9 that the time course data of the brain activity value for the first task and the brain activity value for the second task are displayed , the mood index mood_index and the subjective information mood_sub are expressed on the bar 601 , and the numeric value of the calculated mood_gap_r is displayed . next , fig1 is a schematic block diagram of another embodiment of the biological state assessment device according to the present invention . similarly to the schematic block diagram of the first embodiment illustrated in fig1 , a biological state assessment device according to this embodiment includes a biophotonic measurement unit 100 that irradiates a subject with light and detects light transmitted through or reflected off the subject for biophotonic measurement , a display unit 110 that shows a stimulus to the subject and displays a biophotonic measurement result , an operating unit 111 that shows a stimulus on the display unit 110 , gives various manners of control to the biophotonic measurement unit 100 , and analyzes and displays the biophotonic measurement result on the display unit 110 , an input unit 112 that accepts inputs of subjective information about the subject and answers to tasks analyzed at the operating unit 111 and various items of information necessary for analysis , and a storage unit 109 that stores the biophotonic measurement result and information about the shown tasks . here , points different from the first embodiment are in that a biophotonic measurement unit 100 includes two different irradiation units 1041 and 1042 , two different light receiving units 1061 and 1062 , and two measurement points 1001 and 1002 formed at nearly a middle point between a combination of the irradiation unit 1041 and the light receiving unit 1061 , and at nearly a middle point between a combination of the irradiation unit 1042 and the light receiving unit 1062 , respectively . in the embodiment , similarly to the first embodiment , in carrying out processes according to the flowchart illustrated in fig2 , fig1 is the detail of calculation in step s 206 more specifically . in step s 206 , first , in step s 2061 , the brain activity value act_ 1 for the first task is calculated at the first measurement point 1001 , and then in step s 2062 , the brain activity value act_ 2 for the second task is calculated at the second measurement point 1002 . subsequently , in step s 2063 , the mood index mood_index is calculated for the relative value between act_ 1 and act_ 2 at two different measurement points using act_ 1 and act_ 2 calculated in steps s 2061 and s 2062 according to ( equation 2 ) described above . this is similar to the first embodiment in that mood_gap and mood_gap_r are calculated and displayed using the calculated mood_index . moreover , it is also possible as in fig1 that the time course data of the brain activity value for the first task at the first measurement point 1001 and the brain activity value for the second task at the second measurement point 1002 are displayed , the mood index mood_index and the subjective information mood_sub are expressed on the bar 601 , and the numeric value of the calculated mood_gap is displayed . next , fig1 is an example that a biological state assessment device is implemented by installing a program according to the present invention on a biophotonic measurement device including a plurality of irradiation units 1049 , a plurality of light receiving units 1069 , and a plurality of measurement points 1009 formed at nearly a middle point between the irradiation units 1049 and the light receiving units 106 in a plurality of combinations of the irradiation units 1049 and the light receiving units 1069 . in the embodiment , in a typical biophotonic measurement device that acquires biological signals at the plurality of the measurement points 1009 , more specifically , software that calculates the mood index mood_index , mood_gap , and mood_gap_r described in the first and second embodiments is installed on an operating unit 111 . in the embodiment , the program installed on the operating unit 111 performs the following operation . first , for example , as illustrated in fig1 , a stimulus presentation unit 111 a selectively displays “ a normal mode ” ( the operation as the biophotonic measurement device ) that a normal biological signal is acquired and “ a mood assessment mode ” ( the operation as the biological state assessment device ) that the mood index mood_index , for example , on a display unit 110 . the operating unit 111 accepts a selection of “ the mood assessment mode ” through an input unit 112 such as a keyboard , a controller , and a mouse , and then displays a teaching screen for wearing the irradiation units 1049 , the light receiving units 1069 , and the measurement points 1009 on a subject 800 on the display unit 110 as illustrated in fig1 . the operating unit 111 accepts the completion of wearing from the input unit 112 , and then shows places corresponding to the measurement point 1001 in the first embodiment , for example , in a plurality of the measurement points 1009 as illustrated in fig1 . alternatively , the operating unit 111 shows places corresponding to the first measurement point 1001 and the second measurement point 1002 in the second embodiment , for example , in the plurality of the measurement points 1009 as illustrated in fig1 . after that , according to the procedures described in the first or second embodiment , mood_index , mood_gap , and mood_gap_r are calculated and displayed . in the embodiment , in the plurality of the irradiation units 1049 and the plurality of the light receiving units 1069 of the biophotonic measurement device , it is possible to use only the irradiation unit and the light receiving unit necessary to measure the measurement point 1001 or 1002 . as described above , the program according to the present invention is installed , so that it is possible to implement measurement similar to the first or second embodiment in the biophotonic measurement device including the plurality of the measurement points 1009 . in the biological state assessment devices according to the first to third embodiments , a measured result and an analysis result can be saved . for example , as illustrated in fig7 , after results are displayed on a display unit 110 , after a certain period of time , or after a selection of “ ok ” is accepted at the input unit 112 , as illustrated in fig1 , a screen to select whether the results are saved is displayed on the display unit 110 . here , the operating unit 111 accepts a selection of “ yes ” through the input unit 112 , and stores a measured result and an analysis result on the storage unit 109 . on the storage unit 109 , for example as illustrated in fig1 , a subject id , a measured date and time , the brain activity value act_ 1 for the first task , the brain activity value act_ 2 for the second task , the mood index mood_index , and the subjective information mood_sub are stored on a table 1901 in association with one another . moreover , it is also possible that the operating unit 111 automatically stores the results on the storage unit 109 without the display of the selection screen to save the result as illustrated in fig1 . next , in the device configurations according to the first and second embodiments and the device configuration and the software according to the third embodiment , an example is shown in which changes over time are displayed including the past measured results . a biological state assessment device according to this embodiment acquires the mood index mood_index and the subjective information mood_sub according to the flowchart illustrated in fig2 similarly to the first to third embodiments . after that , the operating unit 111 reads mood_index and mood_sub acquired and stored on the storage unit 109 in the past from the table 1901 , illustrated in fig1 , for example , and displays them on the display unit 110 together with mood_index and mood_sub newly acquired as a time series graph illustrated in fig2 , for example . as described above , the mood index and subjective information from the past to the present time are visualized , so that it is possible to feed back changes in them and manners of deviation to the subject . next , in an example in which changes over time are displayed including the past measured results in the device configuration and the software according to the fifth embodiment , an example is shown in which a warning is displayed in the case where the number of times that the absolute value of the difference between mood_index and mood_sub is a certain value ref_val or greater is continued for n times or greater . in the embodiment , similarly to the fifth embodiment , the operating unit 111 reads mood_index and mood_sub acquired and stored on the storage unit 109 in the past , as illustrated in fig2 , and displays them on the display unit 110 together with mood_index and mood_sub newly acquired as a time series graph . moreover , the differences between mood_index and mood_sub on measurement days are calculated , and differences on the measurement days are displayed . furthermore , simultaneously with this , the operating unit 111 determines that a day on which the calculated absolute value of the difference between the measurement days is ref_val or greater , and displays a warning message in the case where this is continued for n times or greater . more specifically , fig2 is an example of ref_val = 20 and n = 3 . according to the embodiment , it is possible to point out the deviation of the state that the subject him / herself subjectively feels from the mood in him / herself and to cause the subject him / herself to be aware of the deviation . moreover , it is without saying that the operating unit 111 can calculate the difference between mood_index and mood_sub calculated here beforehand and store the difference on the storage unit 109 . the difference can be stored in association with one another as one row is additionally provided on the table 1901 illustrated in fig1 , for example . next , in an example in which changes over time are displayed including the past measured results in the device configuration and the software according to the fifth embodiment , an example is shown in which a ratio that the absolute value of the difference between mood_index and mood_sub is a certain value ref_val or less is displayed . in the embodiment , the operating unit 111 reads mood_index and mood_sub acquired and stored on the storage unit 109 in the past . here , for example , in the case where ref_val = 20 , as illustrated in fig2 , the operating unit 111 displays them on the display unit 110 together with mood_index and mood_sub newly acquired as a time series graph , calculates the differences between mood_index and mood_sub on measurement days , gives an asterisk , for example , to a day on which the difference is rev_val or greater , for example , and displays the days on the display unit 110 . moreover , the operating unit 111 calculates a ratio that the measurement days on which the difference is less than rev_val are occupied in all the measurement days , and displays the ratio on the display unit 110 . the example in fig2 illustrates the ratio is 66 . 7 % because the number of times of the measurement days on which the value ref_val is 20 or less is six with respect to the total number of times of measurement that is nine times . according to the embodiment , it is possible to point out how much the state that the subject him / herself subjectively feels is matched with the mood in him / herself and to cause the subject him / herself to be aware of the deviation . next , in an example in which changes over time are displayed including the past measured results in the device configuration and the software according to the fifth embodiment , an example is shown in which the correlation between mood_index and mood_sub is displayed . in the embodiment , as illustrated in fig2 , for example , the operating unit 111 reads mood_index and mood_sub acquired and stored on the storage unit 109 in the past , displays them on the display unit 110 together with mood_index and mood_sub newly acquired , calculates the correlation coefficient of time series data between mood_index and mood_sub , and displays the correlation coefficient on the display unit 110 . it may be fine that the correlation coefficient calculated here is spearman &# 39 ; s rank correlation coefficient in the case where specific distributions are not assumed for mood_index and mood_sub . according to the embodiment , the correlation between mood_index and mood_sub is visualized , so that it is possible to express that changes in the state that the subject him / herself subjectively feels have a tendency how much the changes are close to changes in the mood in him / herself . next , in an example in which changes over time are displayed including the past measured results in the device configuration and the software according to the fifth embodiment , an example is shown in which m correlations between mood_index and mood_sub in the past are calculated and displayed . in fig2 , an example is shown where m = 3 . in the embodiment , the operating unit 111 reads mood_index and mood_sub acquired and stored on the storage unit 109 in the past , forms them into items of time series data together with mood_index and mood_sub newly acquired , displays the items of data on the display unit 110 , and calculates m correlation coefficients between mood_index and mood_sub in the past ( m = 3 in fig2 ). in the case where both of mood_index and mood_sub include data of m + 1 correlation coefficients or greater , the correlation coefficient can also be expressed as time series data . as illustrated in fig2 , for example , two vertical axes are provided , one is assigned to mood_index and mood_sub , the other is assigned to the correlation coefficient , and mood_index , mood_sub , and changes in the correlation coefficients are plotted on the same graph on the display unit 110 . according to the embodiment , it is possible to visualize how much the tendency of the correlation between them is varied over time in addition to the state that the subject him / herself subjectively feels and the mood in him / herself . next , in an example in which in the device configuration and the software according to the ninth embodiment , changes over time are calculated and displayed including the past measured results and m correlations in the past , an example is shown in which a warning is displayed in the case where the number of times that values fall below a certain correlation coefficient ref_corr is continued for n times or greater . fig2 is an example where m = 3 , ref_corr = 0 . 5 , and n = 3 . for example , in time series data of m correlation coefficients in the past ( in fig2 , m = 3 similarly to the ninth embodiment ), the operating unit 111 gives an asterisk , for example , to data below ref_corr ( 0 . 5 here ), and displays the data on the display unit 110 , and a warning message is displayed on the display unit 110 in the case where the correlation coefficient continuously falls below ref_corr for n times ( n = 3 here ). according to the embodiment , it is possible to point out how the state that the subject him / herself subjectively feels is matched with the mood in him / herself and how they deviate from each other and to cause the subject him / herself to be aware of the deviation . in the device configuration of the biological state assessment device according to the first embodiment , it may be fine that the optical mixer 105 and the optical fiber bundles 900 are not included in the device configuration and the irradiation unit 1041 is configured to incorporate the light sources 103 a and 103 b . moreover , in the device configuration of the biological state assessment device according to the first embodiment , it may be fine that the optical fiber bundles 900 is not included in the device configuration and the light receiving unit 1061 is configured to incorporate the detector 106 . moreover , similarly , it may be fine that in the second and third embodiments , the irradiation units are configured to incorporate the light sources , and the light receiving units are configured to incorporate the detector . in the device configuration and the software according to all the embodiments described above , fig2 is an example of a verbal working memory task using an alphabet instead of the verbal working memory task illustrated in fig4 . moreover , fig2 is an example of a verbal working memory task using arabic numerals and a kanji character instead of the verbal working memory task illustrated in fig4 . according to the embodiment , it is possible to configure a device and software similar to all the embodiments described above also for a subject more familiar with an alphabet than japanese language and a subject more familiar with kanji characters than japanese language . it is also possible that in the calculation of the mood index mood_index in all the embodiments described above , the brain activity value act_ 1 for the first task and the brain activity value act_ 2 for the second task are multiplied by weight coefficients k 1 and k 2 , respectively , and calculated according to ( equation 5 ) instead of ( equation 2 ) described above . moreover , similarly , it is also possible that act_ 1 and act_ 2 are multiplied by weight coefficients k 1 and k 2 , respectively , and converted into values ranging from one to 100 according to ( equation 6 ). next , fig2 is an exemplary biological state assessment device according to the present invention . as illustrated in fig2 , a biophotonic measurement unit 100 has a shape to be worn on all or a part of the forehead of a subject 800 , and includes an irradiation unit 1041 , a light receiving unit 1061 , and a measurement point 1001 formed of combinations of the irradiation unit 1041 and the light receiving unit 1061 on a certain region 100 i on the inner surface facing the subject 800 in the biophotonic measurement unit 100 . moreover , an operating unit 111 and a storage unit 109 are incorporated in a cabinet 100 c , connected to a display unit 110 , an input unit 112 , and the biophotonic measurement unit 100 , and can perform processes similar to the processes in all the embodiments described above . the biological state assessment device according to the fourteenth embodiment can integrate the storage unit 109 , the display unit 110 , the operating unit 111 , and the input unit 112 in a single cabinet 100 c . fig2 is a part of this embodiment . the storage unit 109 and the operating unit 111 are incorporated in the cabinet 100 c , and the display unit 110 and the input unit 112 are integrated in such a form in which the display unit 110 and the input unit 112 are partially exposed to the surface of the cabinet 100 c . moreover , fig2 is an example of display on the display unit 110 , and the mood index mood_index , the subjective information mood_sub , and mood_gap that is the difference between both are plotted and displayed in bars . as described above , it is possible to implement biophotonic measurement and the display of results in a compact form as a device . 100 i region including the irradiation unit , the light receiving unit , and the measurement point on the inner surface of the biophotonic measurement unit 100 601 region showing a color bar on the display unit 110
provided is a biological state assessment device for assessing biological state , such as mood or emotions , using non - invasive biophotonic measurement technology . the present invention includes a light irradiation unit , a light - receiving unit , and an inputting means . a subject is presented with a plurality of different problems , and a biological signal in the interior of the subject is calculated from the intensity of light received by the light - receiving unit . subjective information about the subject is accepted by the inputting means . the difference is calculated between the subjective information and the relative value of the biological signal of the measurement point for the first problem and the biological signal of the measurement point for the second problem , and the result is displayed .