Gesture generation by imitation: from human behavior to computer character animation

By Michael Kipp. 2005

306 citations recorded by the source corpus.

Subfields: Artificial Intelligence, Control and Systems Engineering

View Paper: https://www.semanticscholar.org/paper/32d19b46dfef6ec36040986df955866f13699039

How researchers see this paper

The researchers whose trusted networks rank it highest, strongest advocate first. Every researcher gets a different order.

In Artificial Intelligence

1. R. Cowie
2. Laurence Y. Devillers
3. Ellen Douglas-Cowie
4. Youngwoo Yoon
5. Minsu Jang
6. Ian Sneddon
7. Jaehong Kim
8. K. Karpouzis

In Control and Systems Engineering

1. Youngwoo Yoon
2. Minsu Jang
3. Jaehong Kim
4. Joo-Haeng Lee
5. bok-ja cha
6. Geehyuk Lee

Citations in the corpus

• Speech gesture generation from the trimodal context of text, audio, and speaker identity (2020, methodology): “As large gesture datasets are becoming more available, research on data-driven approaches is increasing, e.g., (Chiu et al. 2015; Ginosar et al. 2019; Huang and Mutlu 2014; Kipp 2005; Yoon et al. 2019).”
• The HUMAINE Database: Addressing the Collection and Annotation of Naturalistic and Induced Emotional Data (2007, background): “• classical dimensions of gesture annotation ([23] [19] [18] [24]), to allow exploratory study of the impact of emotion on these dimensions: • gesture units (e.”