Enhancing Social Interactions of Individuals with Visual Impairments: A Case Study for Assistive Machine Learning

Publication Type:

Conference Proceedings

Authors:

V.N. Balasubramanian, S. Chakraborty, S. Krishna, S. Panchanathan

Source:

Workshop on Machine Learning for Assistive Technologies at Neural Information Processing Systems (NIPS), Whistler, Canada (2010)

Keywords:

Machine Learning and Social Interaction Assistant

Document:

Vineeth_MLAT_NIPS_2010.pdf68.99 KB

Authors

Vineeth N Balasubramanian

Assistant Research Professor

Dr. Shayok Chakraborty

Assistant Research Professor, School of Computing, Informatics, and Decision Systems Engineering; Associate Director, Center for Cognitive Ubiquitous Computing (CUbiC)

Sreekar Krishna

Assistant Research Technologist

Dr. Sethuraman "Panch" Panchanathan

Dr. Sethuraman "Panch" Panchanathan

Director, National Science Foundation

Projects

Social Interaction Assistant

Effective communication requires a shared context. In face-to-face interactions, parts of this shared context are the number and location of people, their facial expression, head pose, eye contact, and movements of each person engaged in a conversation. Faces serve an…