Physical Sciences and Mathematics Commons^™

Wearing The Inside Out: Using Long Short-Term Memory Networks And Wearable Data To Identify Human Emotions, Carlos Aguirre, Maria Fernanda De La Torre

Kansas State University Undergraduate Research Conference

Studying emotions may sound unusual in computer science, a field based on quantifiable data and rationality. Contrary to belief, studies have shown any decision is highly dependent on emotional input. To improve human-computer interaction, it is crucial to improve our understanding of human emotions and teach machines to identify them. With large amounts of information streaming available from our environment, identifying our current emotional state becomes challenging, even at the individual self-level. This project aims to identify indicative emotional temporal data from wearable devices. Using brain activity data from an EEG and smart watches that record data, such as heart-beat, …