Thats a unique idea.You should consider the following idea to enhance your idea so that it would impact uniquely: , time, frequency, and time-frequency features derived from thermal infrared data are used to discriminate beten self-reported affective states of an individual in response to visual stimuli drawn from the International Affective Pictures System. A total of six binary classification tasks re examined to distinguish baseline and affect states. Affect states re determined from subject-reported levels of arousal and valence. Mean adjusted accuracies of 70% to 80% re achieved for the baseline classifications tasks. Classification accuracies beten high and low ratings of arousal and valence re beten 50% and 60%, respectively. Our analysis shod that facial thermal infrared imaging data of baseline and other affective states may be separable. The results of this study suggest that classification of facial thermal infrared imaging data coupled with affect models can be used to provide information about an individual's affective state for potential use as a passive communication pathway.
['Brian R. Nhan', 'Tom Chau']
I am writing a research paper on a idea Classifying Affective States Using Thermal Infrared Imaging of the Human Face
[{"from": "human", "value": "I am writing a research paper on a idea Classifying Affective States Using Thermal Infrared Imaging of the Human Face"}, {"from": "gpt", "value": "Thats a unique idea.You should consider the following idea to enhance your idea so that it would impact uniquely: , time, frequency, and time-frequency features derived from thermal infrared data are used to discriminate beten self-reported affective states of an individual in response to visual stimuli drawn from the International Affective Pictures System. A total of six binary classification tasks re examined to distinguish baseline and affect states. Affect states re determined from subject-reported levels of arousal and valence. Mean adjusted accuracies of 70% to 80% re achieved for the baseline classifications tasks. Classification accuracies beten high and low ratings of arousal and valence re beten 50% and 60%, respectively. Our analysis shod that facial thermal infrared imaging data of baseline and other affective states may be separable. The results of this study suggest that classification of facial thermal infrared imaging data coupled with affect models can be used to provide information about an individual's affective state for potential use as a passive communication pathway."}]