Introduction
Objective:
Explore the following questions:
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How well can people detect the emotioal state of a person eating |
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What are the important features to detect the emotional state of a person eating |
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Could it be possible to build a computer vision system to detect the emotional state of a person eating? |
Hypothesis
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The movement of the head and hands is one of the most important features for detecting the emotional state of a person who is eating. |
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If this is true, It can be possible to buid a computer vision algorithm to detect the emotional state of a person eating. |
Advantages
Advantages of a computer Vision system able to detect the emotional state of a person eating
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No need of high resolution cameras (if feature is body movements) |
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Non-intrusive |
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You almost always eat at home. |
Possible Applications
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Medical applications: Detect the emotional state of people suffering from Depression-mania disorders, eating disorders. |
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Mood manipulationin a positive way. |
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Detect patterns of behavior in the home setting. Detect little variations in the patterns of behavior of a person living at home over long periods of time . Is the person going through a stressful week or day? |
