bugfix

EMG_Arm/src/core/model_weights.h

@@ -1,8 +1,7 @@
 /**
  * @file model_weights.h
- * @brief Placeholder for trained model weights.
+ * @brief Trained LDA model weights exported from Python.
- *
+ * @date 2026-01-27 21:35:17
- * This file should be generated by the Python script (Training Page -> Export for ESP32).
  */
 
 #ifndef MODEL_WEIGHTS_H
@@ -16,11 +15,11 @@
 
 /* Class Names */
 static const char* MODEL_CLASS_NAMES[MODEL_NUM_CLASSES] = {
-    "REST",
+    "fist",
-    "OPEN",
+    "hook_em",
-    "FIST",
+    "open",
-    "HOOK_EM",
+    "rest",
-    "THUMBS_UP",
+    "thumbs_up",
 };
 
 /* Feature Extractor Parameters */
@@ -29,16 +28,36 @@ static const char* MODEL_CLASS_NAMES[MODEL_NUM_CLASSES] = {
 
 /* LDA Intercepts/Biases */
 static const float LDA_INTERCEPTS[MODEL_NUM_CLASSES] = {
-    0.0f, 0.0f, 0.0f, 0.0f, 0.0f
+    -14.097581f, -2.018629f, -4.478267f, 1.460458f, -5.562349f
 };
 
 /* LDA Coefficients (Weights) */
 static const float LDA_WEIGHTS[MODEL_NUM_CLASSES][MODEL_NUM_FEATURES] = {
-    {0.0f},
+    /* fist */
-    {0.0f},
+    {
-    {0.0f},
+        0.070110f, -0.002554f, 0.043924f, 0.020555f, -0.660305f, 0.010691f, -0.074429f, -0.037253f, 
-    {0.0f},
+        0.057908f, -0.002655f, 0.042119f, -0.052956f, 0.063822f, 0.006184f, -0.025462f, 0.040815f, 
-    {0.0f}
+    },
+    /* hook_em */
+    {
+        -0.002511f, 0.001034f, 0.027889f, 0.026006f, 0.183681f, -0.000773f, 0.016791f, -0.027926f, 
+        -0.023321f, 0.000770f, 0.059023f, -0.056021f, 0.237063f, -0.007423f, 0.082101f, -0.021472f, 
+    },
+    /* open */
+    {
+        -0.006170f, 0.000208f, -0.041151f, 0.013271f, 0.054508f, -0.002356f, 0.000170f, 0.012941f, 
+        -0.106180f, 0.003538f, -0.013656f, -0.017712f, 0.131131f, -0.002623f, -0.007022f, 0.024497f, 
+    },
+    /* rest */
+    {
+        -0.011094f, 0.000160f, -0.012547f, -0.011058f, 0.130577f, -0.001942f, 0.020823f, -0.001961f, 
+        0.018021f, -0.000404f, -0.065598f, 0.039676f, 0.018679f, -0.001522f, 0.023302f, -0.008474f, 
+    },
+    /* thumbs_up */
+    {
+        -0.016738f, 0.000488f, 0.024199f, -0.024643f, -0.044912f, 0.000153f, -0.011080f, 0.043487f, 
+        0.051828f, -0.001670f, 0.109633f, 0.004154f, -0.460694f, 0.008616f, -0.104097f, -0.020886f, 
+    },
 };
 
-#endif /* MODEL_WEIGHTS_H */
+#endif /* MODEL_WEIGHTS_H */

emg_gui.py

@@ -1918,14 +1918,17 @@ class PredictionPage(BasePage):
 
             print("[DEBUG] Starting Edge Prediction (On-Device)...")
             try:
-                # Send "start_predict" command to ESP32
+                # Use the new interface method to start prediction
-                if hasattr(self.stream, 'ser'):
+                if hasattr(self.stream, 'start_predict'):
-                   self.stream.ser.write(b'{"cmd": "start_predict"}\n')
+                    self.stream.start_predict()
-                   self.stream.running = True 
+                    self.stream.running = True
                 else:
-                   # Fallback
+                    # Fallback for simulated stream or older interface
-                   self.stream.ser.write(b'{"cmd": "start_predict"}\n')
+                    # Simulated stream doesn't need 'start_predict', just 'start'
-                   self.stream.running = True
+                    if not self.using_real_hardware:
+                        self.stream.start()
+                    else:
+                        raise RuntimeError("Stream object missing start_predict method")
                    
             except Exception as e:
                 messagebox.showerror("Start Error", f"Failed to start: {e}")

serial_stream.py

@@ -240,8 +240,29 @@ class RealSerialStream:
         start_cmd = {"cmd": "start"}
         self._send_json(start_cmd)
         self.state = ConnectionState.STREAMING
+        self.state = ConnectionState.STREAMING
         print(f"[SERIAL] Started streaming")
 
+    def start_predict(self) -> None:
+        """
+        @brief Start on-device prediction (Edge Inference).
+        
+        Sends 'start_predict' command. Device enters PREDICTING state.
+        Stream receives JSON telemetry instead of raw CSV.
+        """
+        if self.state != ConnectionState.CONNECTED:
+             raise RuntimeError(
+                f"Cannot start prediction from state {self.state.name}. "
+                "Must call connect() first."
+            )
+        
+        self.serial.reset_input_buffer()
+        
+        cmd = {"cmd": "start_predict"}
+        self._send_json(cmd)
+        self.state = ConnectionState.STREAMING # Treat as streaming for readline purposes
+        print(f"[SERIAL] Started prediction mode")
+
     def stop(self) -> None:
         """
         @brief Stop streaming EMG data.