Computational modeling is central to a rigorous understanding of the development of the child’s first social relationships. The project addresses this challenge by modeling longitudinal change in the dynamics of early social interactions. Our proposed models integrate objective (automated) measurements of emotion and attention and common genetic variants relevant to those constructs. This project is supported by funding from the National Institute of General Medical Sciences.
Selected products/outcomes from this project
Workshops and demos
- Cohn, J.F. (March 2015). Face processing. Society for Affective Science. San Francisco, CA.
- Cohn, J.F. (September 2015). Sentiment and other affects: What are measuring? How well are we doing? 1st International Workshop on Automatic Sentiment Analysis in the Wild (WASA’15), Xi’an, China.
- Cohn, J.F. & Jeni, L (January 2016). Automated 3D face and gaze estimation and expression detection. The 6th Symposium on International Collaborative Laboratories, Pittsburgh, PA.
- De la Torre, F., CHU, WS, Xiong, X., & Cohn, J.F. (May 2015), IntraFace. IEEE International Conference on Automatic Face and Gesture Detection. FG2015 Best Demo Award.
- De la Torre, F., Girard, J.M., & Cohn, J.F. (September 2015). Facial expression analysis. IEEE International Conference on Biometrics Theory and Applications, Washington, DC.
- Jeni, L., Kanade, T., & Cohn, J.F. (May 2015). ZFace. IEEE International Conference on Automatic Face and Gesture Detection, Ljubjana, Slovenia.
- Phillips, J.P., Boyer, K., Beveridge, R., & Cohn, J.F. (May 2015). The Promise and Perils of Found Data. IEEE International Conference on Automatic Face and Gesture Detection, Ljubljana, Slovenia.