Towards Natural Head Movement of Autonomous Speaker Agent

Authors:
Marko Brkic;Karlo Smid;Tomislav Pejsa;Igor S. Pandzic
Affiliations:
Faculty of electrical engineering and computing, Zagreb University, Zagreb, Croatia HR-10000;Ericsson Nikola Tesla, , Zagreb, HR-10 002;Faculty of electrical engineering and computing, Zagreb University, Zagreb, Croatia HR-10000;Faculty of electrical engineering and computing, Zagreb University, Zagreb, Croatia HR-10000
Venue:
KES '08 Proceedings of the 12th international conference on Knowledge-Based Intelligent Information and Engineering Systems, Part II
Year:
2008

Citing 5
Cited 2

BEAT: the Behavior Expression Animation Toolkit

Proceedings of the 28th annual conference on Computer graphics and interactive techniques
Natural head motion synthesis driven by acoustic prosodic features: Virtual Humans and Social Agents

Computer Animation and Virtual Worlds - CASA 2005
Handbook of Mathematical Functions, With Formulas, Graphs, and Mathematical Tables,

Handbook of Mathematical Functions, With Formulas, Graphs, and Mathematical Tables,
Speech driven head motion synthesis based on a trajectory model

ACM SIGGRAPH 2007 posters
[HUGE]: universal architecture for statistically based HUman GEsturing

IVA'06 Proceedings of the 6th international conference on Intelligent Virtual Agents

Multimodal behavior realization for embodied conversational agents

Multimedia Tools and Applications
A controller-based animation system for synchronizing and realizing human-like conversational behaviors

COST'09 Proceedings of the Second international conference on Development of Multimodal Interfaces: active Listening and Synchrony

Quantified Score

Hi-index	0.00

Visualization

Abstract

Autonomous Speaker Agent (ASA) is a graphically embodied animated agent capable of reading plain English text and rendering it in a form of speech, accompanied by appropriate, natural-looking facial gestures [1]. This paper is focused on improving ASA's head movement trajectories in order to achieve facial gestures that look as natural as possible. Based on the gathered data we proposed mathematical functions that, using two input parameters (maximum amplitude and duration of the gesture) generate natural-looking head motion trajectory. Proposed functions were implemented in our existing ASA platform and we compared them with our previous head movement models. Our results were shown to a larger number of people. The audience noticed that results showed improvement in head motion and didn't detect any patterns which would suggest that animation was done with predefined motion trajectories.