Patent ID: 8706206

Claim:
A human fatigue assessment device comprising: a physiological signal measuring unit configured to measure a pulse wave signal of a user; a feature value extracting unit configured to extract first feature values each of which is obtained from a systolic posterior component of the pulse wave signal measured by said physiological signal measuring unit; a storage unit in which the first feature values extracted by said feature value extracting unit are stored; and a fatigue determining unit configured to determine whether or not the user is fatigued, using the first feature values extracted by said feature value extracting unit, wherein said fatigue determining unit is configured to compare a first feature value among the first feature values extracted by said feature value extracting unit and at least one of the first feature values stored in said storage unit, to determine whether or not the user is fatigued, wherein said human fatigue assessment device further comprises a checking unit configured to generate checking information for checking whether the user is in an open-eye state or in a closed-eye state, wherein said physiological signal measuring unit is further configured to measure a brain signal of the user as a physiological signal, and to attach the checking information to the measured physiological signal, wherein said feature value extracting unit is further configured to extract second feature values each of which (i) is obtained from the physiological signal measured by said physiological signal measuring unit and (ii) is related to at least one of (a) a power value in an α waveband in a time period during which the checking information indicates that the user is in the closed-eye state and (b) a power value in a β waveband in a time period during which the checking information indicates that the user is in the open-eve state or the closed-eye state, wherein said storage unit stores the second feature values extracted by said feature value extracting unit, and wherein said human fatigue assessment device further comprises a fatigue type determining unit configured to determine, when said fatigue determining unit determines that the user is fatigued, a type of the fatigue of the user as to whether the fatigue is due to a first work or due to a second work that is more monotonous than the first work, by comparing a second feature value among the second feature values extracted by said feature value extracting unit and at least one of the second feature values stored in said storage unit.