mojo_perception 2.0.1

Mojo Perception Flutter API. Mojo Emotion AI Platform is a software framework to detect, understand and activate emotions.

2.0.0

• 2 new available social cues : "Engagement" and "Interaction".

• Engagement is the process by which participants establish, maintain and terminate their connection with the device. The notion of engagement is composed of 4 phases : “engaging”, “engaged”, “disengaging”, “idle”.

• Interaction status is an estimation of the state of a user within the course of an interaction. The state is derived from the transitions of the engagement. Interaction status can be 5 differents stages :

idle: The user is visible, not engaged and attention low.

possible: The user is changing to an engaging status, this is a transitional status.

ready: The user is engaged, and attention is high.

in_short_interruption: The user used to be engaged, changing to disengaging for less than 3 seconds.

in_long_interruption: The user used to be in short interruption status, for a period between 3 to 8 seconds.

• We removed "pitching" and "yawing" social cues estimation.

1.0.5

• Fix the problem of converting Camera images in YUV420 format to Image in RGB format on android

1.0.4

• Calculate the frame rate of Face Detection

1.0.3

• Fix defaultCallBacks by introducing one for callbacks taking arguments and one for callback with no argument.

• Add try catch on initInterpreter when loading from buffer to catch errors on specific missing files

• Add a condition to check if cameraController is streaming images before trying to stop it.

1.0.2

Made it safer to restart API after stop by reseting boolean variables. Provide new function "noFaceDetected" called when no face is detected on a camera frame.

1.0.1

Fix link to demo_image in README.md

1.0.0

Init version Mojo Perception Flutter API