Emotion capture: Emotion mimicry using facial motion capture

Thomas Emmanuel Haley-Hermiz, Purdue University

Abstract

This study explored the application of facial motion capture to Autism Spectrum Disorder therapy. The FaceShift technology was utilized in a behavior change intervention for children with ASD. The intervention focused on using facial expressions to display emotions. The results of the study exhibit that all students involved achieved a higher percent in both facial expressions attempted and successfully demonstrated in intervention over baseline. However, this increase was not maintained in generalization. Without a successful generalization the intervention would not be recommended in its current framework. Recommendations for further research are provided.

Degree

M.S.

Advisors

Adamo-Villani, Purdue University.

Subject Area

Special education|Computer science

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