src/control_backend/agents/bdi/agentspeak_generator.py

@@ -22,6 +22,7 @@ from control_backend.schemas.program import (
     BaseGoal,
     BasicNorm,
     ConditionalNorm,
+    EmotionBelief,
     GestureAction,
     Goal,
     InferredBelief,
@@ -459,6 +460,10 @@ class AgentSpeakGenerator:
     @_astify.register
     def _(self, sb: SemanticBelief) -> AstExpression:
         return AstLiteral(self.slugify(sb))
+    
+    @_astify.register
+    def _(self, eb: EmotionBelief) -> AstExpression:
+        return AstLiteral("emotion_detected", [AstAtom(eb.emotion)])
 
     @_astify.register
     def _(self, ib: InferredBelief) -> AstExpression:

src/control_backend/agents/perception/visual_emotion_recognition_agent/visual_emotion_recognition_agent.py

@@ -47,7 +47,7 @@ class VisualEmotionRecognitionAgent(BaseAgent):
         """
         Retrieve a video frame from the input socket.
         """
-        window_duration = 1  # seconds
+        window_duration = 5  # seconds
         next_window_time = time.time() + window_duration
 
         # To detect false positives
@@ -82,7 +82,7 @@ class VisualEmotionRecognitionAgent(BaseAgent):
                 
                 # If window duration has passed, process the collected stats
                 if time.time() >= next_window_time:
-
+                    print(face_stats)
                     window_dominant_emotions = set()
                     # Determine dominant emotion for each face in the window
                     for _, counter in face_stats.items():
@@ -116,7 +116,7 @@ class VisualEmotionRecognitionAgent(BaseAgent):
         for emotion in emotions_to_remove:
             self.logger.info(f"Emotion '{emotion}' has disappeared.")
             try:
-                emotion_beliefs_remove.append(Belief(name="emotion", arguments=[emotion], remove=True))
+                emotion_beliefs_remove.append(Belief(name="emotion_detected", arguments=[emotion], remove=True))
             except ValidationError:
                 self.logger.warning("Invalid belief for emotion removal: %s", emotion)
         
@@ -125,7 +125,7 @@ class VisualEmotionRecognitionAgent(BaseAgent):
         for emotion in emotions_to_add:
             self.logger.info(f"New emotion detected: '{emotion}'")
             try:
-                emotion_beliefs_add.append(Belief(name="emotion", arguments=[emotion]))
+                emotion_beliefs_add.append(Belief(name="emotion_detected", arguments=[emotion]))
             except ValidationError:
                 self.logger.warning("Invalid belief for new emotion: %s", emotion)
         

src/control_backend/agents/perception/visual_emotion_recognition_agent/visual_emotion_recognizer.py

@@ -41,6 +41,8 @@ class DeepFaceEmotionRecognizer(VisualEmotionRecognizer):
         # Sort faces by x coordinate to maintain left-to-right order
         analysis.sort(key=lambda face: face['region']['x'])
 
+        # Fear op 0, boost 0.2 aan happy, sad -0.1, neutral +0.1
+
         analysis = [face for face in analysis if face['face_confidence'] >= 0.90]
         
         dominant_emotions = [face['dominant_emotion'] for face in analysis]

src/control_backend/schemas/program.py

@@ -28,8 +28,8 @@ class LogicalOperator(Enum):
     OR = "OR"
 
 
-type Belief = KeywordBelief | SemanticBelief | InferredBelief
+type Belief = KeywordBelief | SemanticBelief | InferredBelief | EmotionBelief
-type BasicBelief = KeywordBelief | SemanticBelief
+type BasicBelief = KeywordBelief | SemanticBelief | EmotionBelief
 
 
 class KeywordBelief(ProgramElement):
@@ -69,6 +69,15 @@ class InferredBelief(ProgramElement):
     left: Belief
     right: Belief
 
+class EmotionBelief(ProgramElement):
+    """
+    Represents a belief that is set when a certain emotion is detected.
+
+    :ivar emotion: The emotion on which this belief gets set.
+    """
+
+    name: str = ""
+    emotion: str
 
 class Norm(ProgramElement):
     """
@@ -226,3 +235,9 @@ class Program(BaseModel):
     """
 
     phases: list[Phase]
+
+
+if __name__ == "__main__":
+    input = input("Enter program JSON: ")
+    program = Program.model_validate_json(input)
+    print(program)