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Noise
Please check Idle behavior for the updated version**
Blinking is a normal and physiologically important phenomenon. Blinking is the quick action of closing and opening your eyelid. It plays an essential role in keeping the eye moist and healthy, by spreading the tear film over the whole eye.
The agents of Greta platform blink their eyes. This signal is automatically introduced when the FaceKeyFramePerformer module is added in the modular configuration.
Once saved the created configuration, in the correspondent .XML file (<GRETA_DIR>/bin/Configurations/
folder), it is possible see that the FaceKeyframePerformer contain a parameter called blinking that is setted at true value automatically. If you want to remove the eyes' blinking will be necessary to set the parameter value to false and restart the platform and the related configuration.
Quiet standing appears to be static but there is actually a process of rocking from the ankle in the sagittal plane. The sway of quiet standing is often likened to the motion of an inverted pendulum [3].
To simulate this movement you can add the BodyHeadNoise module. You will find it in the input menu. (see figire below)
Once added the module, it need to be connected to the MPEG4 module. Through a interface (you can see it once connect the module and select it) can be possible control the movement of the agent. You can decide to move head, torso or lower body. To enable one of these part or all of them will be necessary to check the correspondent box. Next to the each check box there is a box where can be possible set the movement intensity of the body part enabled with a positive double value ( starting from 0).
Advanced
- Generating New Facial expressions
- Generating New Gestures
- Generating new Hand configurations
- Torso Editor Interface
- Creating an Instance for Interaction
- Create a new virtual character
- Creating a Greta Module in Java
- Modular Application
- Basic Configuration
- Signal
- Feedbacks
- From text to FML
- Expressivity Parameters
- Text-to-speech, TTS
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AUs from external sources
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Large language model (LLM)
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Automatic speech recognition (ASR)
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Extentions
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Integration examples
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