18626166. SYSTEMS AND METHODS FOR GESTURE GENERATION FROM TEXT simplified abstract (Datum Point Labs Inc.)
Contents
SYSTEMS AND METHODS FOR GESTURE GENERATION FROM TEXT
Organization Name
Inventor(s)
SYSTEMS AND METHODS FOR GESTURE GENERATION FROM TEXT - A simplified explanation of the abstract
This abstract first appeared for US patent application 18626166 titled 'SYSTEMS AND METHODS FOR GESTURE GENERATION FROM TEXT
Simplified Explanation: The patent application describes a method for generating gestures from text using an encoder and multiple decoders to create body configurations based on the input text.
- An input text is received.
- An action representation is generated in an action representation space based on the input text.
- A first body configuration is generated based on the action representation.
- A second body configuration is generated based on the first body configuration.
- A first stop token is generated based on the first body configuration.
Key Features and Innovation:
- Utilizes an encoder to generate an action representation from input text.
- Employs multiple decoders to create body configurations and gestures based on the action representation.
- Incorporates a stop token to indicate the end of a gesture sequence.
Potential Applications: This technology could be applied in:
- Virtual reality environments for more realistic avatars.
- Human-computer interaction to enhance communication.
- Animation and gaming industries for more expressive characters.
Problems Solved:
- Enhances the generation of gestures from text.
- Improves the realism and expressiveness of virtual characters.
- Facilitates more natural human-computer interactions.
Benefits:
- Increased realism in virtual environments.
- Enhanced communication through gestures.
- Improved user experience in animation and gaming.
Commercial Applications: Gesture generation technology could be utilized in various industries such as virtual reality, animation, gaming, and communication software to enhance user experiences and interactions.
Questions about Gesture Generation from Text: 1. How does the encoder generate an action representation from input text? 2. What is the significance of using multiple decoders in generating body configurations from the action representation?
Original Abstract Submitted
Embodiments described herein provide systems and methods for gesture generation from text. A method for gesture generation includes receiving an input text. The method may further include generating, via an encoder, an action representation in an action representation space based on the input text. The method may further include generating, via a first motion decoder, a first body configuration based on the action representation. The method may further include generating, via a second motion decoder, a second body configuration based on the first body configuration. The method may further include generating, via a token decoder, a first stop token based on the first body configuration.
