Applications and Web Services Benefiting From An Emotion Markup Language
There are a range of existing projects and applications to which an emotion markup language will enable the building of webservices to measure capture data of individuals non-verbal behavior, mental states, and emotions and allowing results to be reported and rendered in a standardized format using standard web technologies such as JSON and HTML5. Such projects include: Measuring affect data across the internet using EyesWeb
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