The generation of animated motion by means of a recurrent neural network

Autor:	Joseph M. Hill, Marijke F. Augusteijn
Rok vydání:	1995
Předmět:	Network architecture Recurrent neural network Artificial neural network Artificial Intelligence Movement (music) Computer science business.industry Computer vision Animation Artificial intelligence business Software Motion (physics)
Zdroj:	Neural Computing & Applications. 3:17-26
ISSN:	1433-3058 0941-0643
DOI:	10.1007/bf01414173
Popis:	The possibility to use neural networks to guide animated motion sequences is investigated. The performance of two recurrent architectures, both derived from the cascade-correlation network, is compared. These architectures only differ in the objective function used to train the hidden units. Small differences in performance were observed, but both networks could successfully produce simple motion sequences. An animation environment was created to display arm movement and walking sequences.
Databáze:	OpenAIRE
Externí odkaz:	https://explore.openaire.eu/search/publication?articleId=doi_________::ab12f2c2cb95cb717fb0f689d8ce030f https://doi.org/10.1007/bf01414173 Zobrazit plný text záznamu Full text from SpringerLink