Our objective is to build a system to let user be aware that they are in fatigue state and should take a break. To get the real state of the user, we track the eyes of user and monitor the environment status around the user using temperature, sound and light sensor.
Our system use the four parameters in the following way: The state of user that can be affected by the environment status around. Also the fatigue status can be determined by the parameter perclose which is the percentage of eye closure parameter.[4] We use a threshold perclose value for determining that a user is being in a fatigue state. We train a model using the working time and temperature, perclose and environment status parameters, which can predict the time user’s perclose value get to the threshold value which means that he is in a fatigue status.
Our system use the four parameters in the following way: The state of user that can be affected by the environment status around. Also the fatigue status can be determined by the parameter perclose which is the percentage of eye closure parameter.[4] We use a threshold perclose value for determining that a user is being in a fatigue state. We train a model using the working time and temperature, perclose and environment status parameters, which can predict the time user’s perclose value get to the threshold value which means that he is in a fatigue status.
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