Fix normalization: recompute norm_params from physical-unit UCI raw signals; add Phyphox reset button

data/norm_params.json

@@ -1 +1,1910 @@
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+    "max": 58.58436612370891
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+  "fBodyGyro-bandsEnergy()-33,40": {
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+    "max": 73.46010766682528
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+  "fBodyGyro-bandsEnergy()-49,56": {
+    "min": 0.00010398419526083536,
+    "max": 22.67069071572638
+  },
+  "fBodyGyro-bandsEnergy()-57,64": {
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+    "max": 17.751019872095753
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+    "max": 8932.614551347204
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+    "max": 1241.5102277598644
+  },
+  "fBodyGyro-bandsEnergy()-33,48": {
+    "min": 0.0018050466002682017,
+    "max": 289.11337567939347
+  },
+  "fBodyGyro-bandsEnergy()-49,64": {
+    "min": 0.00010823181127660029,
+    "max": 40.42171058782213
+  },
+  "fBodyGyro-bandsEnergy()-1,24": {
+    "min": 0.03369028112738488,
+    "max": 8969.766691073819
+  },
+  "fBodyGyro-bandsEnergy()-25,48": {
+    "min": 0.003867269583824559,
+    "max": 783.7574154195805
+  },
+  "fBodyAccMag-mean()": {
+    "min": 0.02680749699787196,
+    "max": 3.9551395414163233
+  },
+  "fBodyAccMag-std()": {
+    "min": 0.06624383333822732,
+    "max": 10.81348219785095
+  },
+  "fBodyAccMag-mad()": {
+    "min": 0.005379004524554695,
+    "max": 1.2778227143489536
+  },
+  "fBodyAccMag-max()": {
+    "min": 0.5421916909118834,
+    "max": 87.77202290840538
+  },
+  "fBodyAccMag-min()": {
+    "min": 3.1388124252401924e-05,
+    "max": 0.5184860239484557
+  },
+  "fBodyAccMag-sma()": {
+    "min": 0.02680749699787196,
+    "max": 3.9551395414163233
+  },
+  "fBodyAccMag-energy()": {
+    "min": 0.005311476142537404,
+    "max": 132.00464580599308
+  },
+  "fBodyAccMag-iqr()": {
+    "min": 0.011989119718243596,
+    "max": 3.5391195673447386
+  },
+  "fBodyAccMag-entropy()": {
+    "min": 1.0293285948538355,
+    "max": 3.6893347353791763
+  },
+  "fBodyAccMag-maxInds": {
+    "min": 1.0,
+    "max": 1.0
+  },
+  "fBodyAccMag-meanFreq()": {
+    "min": 2.9290279792959133,
+    "max": 22.940301114288896
+  },
+  "fBodyAccMag-skewness()": {
+    "min": 3.792148850191923,
+    "max": 7.776766533941913
+  },
+  "fBodyAccMag-kurtosis()": {
+    "min": 16.020318882235326,
+    "max": 58.65807478581257
+  },
+  "fBodyBodyAccJerkMag-mean()": {
+    "min": 0.8557950819817379,
+    "max": 129.1131674431919
+  },
+  "fBodyBodyAccJerkMag-std()": {
+    "min": 1.9303833810860112,
+    "max": 284.0912483953395
+  },
+  "fBodyBodyAccJerkMag-mad()": {
+    "min": 0.19932218423831533,
+    "max": 38.82025582952414
+  },
+  "fBodyBodyAccJerkMag-max()": {
+    "min": 15.941594948127134,
+    "max": 2302.017688428236
+  },
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+    "min": 0.0033601493941307465,
+    "max": 21.493937520942193
+  },
+  "fBodyBodyAccJerkMag-sma()": {
+    "min": 0.8557950819817379,
+    "max": 129.1131674431919
+  },
+  "fBodyBodyAccJerkMag-energy()": {
+    "min": 4.45876522031719,
+    "max": 95607.68764769277
+  },
+  "fBodyBodyAccJerkMag-iqr()": {
+    "min": 0.39955822966655435,
+    "max": 83.84422488373852
+  },
+  "fBodyBodyAccJerkMag-entropy()": {
+    "min": 3.1517916114310935,
+    "max": 3.857529358482581
+  },
+  "fBodyBodyAccJerkMag-maxInds": {
+    "min": 1.0,
+    "max": 1.0
+  },
+  "fBodyBodyAccJerkMag-meanFreq()": {
+    "min": 13.448312191376981,
+    "max": 24.550908936173027
+  },
+  "fBodyBodyAccJerkMag-skewness()": {
+    "min": 2.8940049083485673,
+    "max": 7.620183610601216
+  },
+  "fBodyBodyAccJerkMag-kurtosis()": {
+    "min": 10.860014896384403,
+    "max": 57.05847044058592
+  },
+  "fBodyBodyGyroMag-mean()": {
+    "min": 0.026278419794193035,
+    "max": 11.456083974120057
+  },
+  "fBodyBodyGyroMag-std()": {
+    "min": 0.06452001082578006,
+    "max": 30.222913970830337
+  },
+  "fBodyBodyGyroMag-mad()": {
+    "min": 0.005918658165523781,
+    "max": 3.610106590035792
+  },
+  "fBodyBodyGyroMag-max()": {
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+  },
+  "fBodyBodyGyroMag-min()": {
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+    "max": 1.2553463754790897
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+    "max": 11.456083974120057
+  },
+  "fBodyBodyGyroMag-energy()": {
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+    "max": 1044.666388910302
+  },
+  "fBodyBodyGyroMag-iqr()": {
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+    "max": 8.705845967295334
+  },
+  "fBodyBodyGyroMag-entropy()": {
+    "min": 1.1430647555007023,
+    "max": 3.909315800800602
+  },
+  "fBodyBodyGyroMag-maxInds": {
+    "min": 1.0,
+    "max": 1.0
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+  "fBodyBodyGyroMag-meanFreq()": {
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+    "max": 23.37855718077422
+  },
+  "fBodyBodyGyroMag-skewness()": {
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+    "max": 7.7671815498214425
+  },
+  "fBodyBodyGyroMag-kurtosis()": {
+    "min": 5.331232841102512,
+    "max": 58.55674980655295
+  },
+  "fBodyBodyGyroJerkMag-mean()": {
+    "min": 0.92556598225241,
+    "max": 489.6624743201612
+  },
+  "fBodyBodyGyroJerkMag-std()": {
+    "min": 2.168033638652841,
+    "max": 976.0134050428912
+  },
+  "fBodyBodyGyroJerkMag-mad()": {
+    "min": 0.17451701638424091,
+    "max": 127.23532153273048
+  },
+  "fBodyBodyGyroJerkMag-max()": {
+    "min": 17.819571490867933,
+    "max": 7883.654612253318
+  },
+  "fBodyBodyGyroJerkMag-min()": {
+    "min": 0.0021022455958009086,
+    "max": 54.08506129799475
+  },
+  "fBodyBodyGyroJerkMag-sma()": {
+    "min": 0.92556598225241,
+    "max": 489.6624743201612
+  },
+  "fBodyBodyGyroJerkMag-energy()": {
+    "min": 5.557042245833149,
+    "max": 1176827.1239479724
+  },
+  "fBodyBodyGyroJerkMag-iqr()": {
+    "min": 0.3981284982958495,
+    "max": 287.3131508716929
+  },
+  "fBodyBodyGyroJerkMag-entropy()": {
+    "min": 3.080396163312534,
+    "max": 3.8726150126528016
+  },
+  "fBodyBodyGyroJerkMag-maxInds": {
+    "min": 1.0,
+    "max": 1.0
+  },
+  "fBodyBodyGyroJerkMag-meanFreq()": {
+    "min": 12.3877846810103,
+    "max": 25.181312775275515
+  },
+  "fBodyBodyGyroJerkMag-skewness()": {
+    "min": 2.0634497813112325,
+    "max": 7.6502566004961485
+  },
+  "fBodyBodyGyroJerkMag-kurtosis()": {
+    "min": 4.6343499328124045,
+    "max": 57.36750813293581
+  },
+  "angle(tBodyAccMean,gravity)": {
+    "min": 0.03867344557044592,
+    "max": 3.119822768812346
+  },
+  "angle(tBodyAccJerkMean),gravityMean)": {
+    "min": 0.02039567460261523,
+    "max": 3.1207880552139895
+  },
+  "angle(tBodyGyroMean,gravityMean)": {
+    "min": 0.003262846088150804,
+    "max": 3.1346980802948465
+  },
+  "angle(tBodyGyroJerkMean,gravityMean)": {
+    "min": 0.010409743954799154,
+    "max": 3.132722940686013
+  },
+  "angle(X,gravityMean)": {
+    "min": 0.0028986038760071575,
+    "max": 1.972033249755388
+  },
+  "angle(Y,gravityMean)": {
+    "min": 0.007190985205403231,
+    "max": 2.1154456997791735
+  },
+  "angle(Z,gravityMean)": {
+    "min": 0.1742479452264304,
+    "max": 2.9184235521275985
+  }
+}

src/phyphox_app_block.py

@@ -79,22 +79,30 @@ def render_phyphox_tab(
 5. Export both experiments as CSV and upload below
     """)
 
+    if "phyphox_run" not in st.session_state:
+        st.session_state.phyphox_run = 0
+
     col1, col2 = st.columns(2)
     with col1:
         acc_file = st.file_uploader(
             "Accelerometer CSV",
             type=["csv"],
-            key="acc_upload",
+            key=f"acc_upload_{st.session_state.phyphox_run}",
             help="Columns: Time (s), X (m/s²), Y (m/s²), Z (m/s²)",
         )
     with col2:
         gyro_file = st.file_uploader(
             "Gyroscope CSV",
             type=["csv"],
-            key="gyro_upload",
+            key=f"gyro_upload_{st.session_state.phyphox_run}",
             help="Columns: Time (s), X (rad/s), Y (rad/s), Z (rad/s)",
         )
 
+    if acc_file is not None or gyro_file is not None:
+        if st.button("Clear / new recording"):
+            st.session_state.phyphox_run += 1
+            st.rerun()
+
     if acc_file is None or gyro_file is None:
         st.info("Upload both files to continue.")
         return
@@ -131,7 +139,8 @@ def render_phyphox_tab(
         features = _normalize(features, min_vals, max_vals)
         st.caption(
             "Accelerometer converted from m/s² to g units to match UCI training data. "
-            "Features scaled to [−1, 1] using per-feature min/max from the UCI HAR training set."
+            "Features scaled to [−1, 1] using physical-unit min/max computed from the "
+            "UCI HAR training set raw inertial signals."
         )
     else:
         st.warning(