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Full-Body Gesture Recognition for Embodied Conversational Agents : The UTEP AGENT Gesture Tool
| Content Provider | Semantic Scholar |
|---|---|
| Author | Gris, Iván Camacho, Adriana Novick, David |
| Copyright Year | 2016 |
| Abstract | Recognition of body gestures has long challenged developers of interfaces for real-time interaction between humans and embodied conversational agents (ECAs). In this paper we present a computationally simple approach to full-body gesture recognition along with an example of a human-agent application that makes use of it. We discuss how developers can use the tool to create pose libraries and how it works across different applications. And we evaluate gesture recognition implemented with the tool in the context of the human-agent application. |
| File Format | PDF HTM / HTML |
| Alternate Webpage(s) | http://isg.cs.utep.edu/documents/Full-Body%20Gesture%20Recognition%20for%20Embodied%20Conversational%20Agents%20-%20The%20UTEP%20AGENT%20Gesture%20Tool.pdf |
| Language | English |
| Access Restriction | Open |
| Content Type | Text |
| Resource Type | Article |