Work

The GENEA Challenge 2020: Benchmarking gesture-generation systems on common data

Year: 2020

Type: conference-paper

Abstract: Presented at the GENEA Workshop 2020, part of IVA'20.

Source: Ghent University Academic Bibliography (Ghent University)

DOI: 10.5281/zenodo.4094696

Authors: Kucherenko, Taras, Jonell, Patrik, Yoon, Youngwoo, Wolfert, Pieter, Henter, Gustav Eje

Institutions: KTH Royal Institute of Technology, Electronics and Telecommunications Research Institute, Korea Advanced Institute of Science and Technology, Ghent University, IMEC

Language: English

Topic: Hand Gesture Recognition Systems

Subfield: Human-Computer Interaction

Field: Computer Science

Domain: Physical Sciences

Open Access status: green

Funders: Stiftelsen för Strategisk Forskning, Fonds Wetenschappelijk Onderzoek, Knut och Alice Wallenbergs Stiftelse, Kungliga Tekniska Högskolan, Universiteit Gent, Ministry of Science and ICT, South Korea, Institute for Information and Communications Technology Promotion

Awards: G1660725767, EACare: Fysisk agent för att stödja äldres mentala välmående, G439687760, Contingent behaviour generation in social robots using Deep Learning

OpenAlex ID: W3211022607

FWCI: 1.823

Cites: 21

Cited by: 10

Related to: 10