Emotion-Driven Facial Animation for Chat-Bots
Pulkit Juneja1, P. Gayathri2, Anshupriya Srivastava3, Hemant Jain4
1Pulkit Juneja, Digital analyst at Mckinsey and company Bangalore.
2Hemant Jain , System software developer in the TensorIT server team at NVIDIA.
3Anshupriya Srivastava, pursuing a master‟s degree in data science from Duke university, North Carolina.
4Gayathri Prakasam, Assistant Professor (Senior) in the School of Computing Science and Engineering at VIT University, Vellore, Tamil Nadu, India.

Manuscript received on November 11, 2019. | Revised Manuscript received on November 20 2019. | Manuscript published on 30 November, 2019. | PP: 11311-11316 | Volume-8 Issue-4, November 2019. | Retrieval Number: D9576118419/2019©BEIESP | DOI: 10.35940/ijrte.D9576.118419

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© The Authors. Blue Eyes Intelligence Engineering and Sciences Publication (BEIESP). This is an open access article under the CC-BY-NC-ND license (http://creativecommons.org/licenses/by-nc-nd/4.0/)

Abstract: Facial animation is quickly becoming an important feature of virtual assistants and is gaining traction as the preferred communication technique between man and machine. In addition to lip movement, facial expressions such as those of the eyes and cheeks help in conveying the sentiment and context of what is being spoken. This paper aims to present a new methodology to create an emotionally expressive virtual AI that is capable of understanding the sentiment of the conversation and displaying emotions during conversations. To achieve this the system uses a generative chatbot and combines it with a 3D talking head that is animated parametrically. This work could be beneficial to virtual assistants and help facilitate more lifelike interactions, holding significance in environments that require the user to feel more comfortable with their interactions. The complexities lie in developing a domain specific chat-bot that will not only provide valuable replies but also recognize and display appropriate facial expressions while communicating.
Keywords: Animation, Chat-bots, Computer Graphics, Machine Learning.
Scope of the Article: Machine Learning.