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Fall detection using MPU6050 with CNN method, here is all the code related to my project from get raw accelerometer data( X,Y, Z ) axis. Accelerometer data then uploaded to computer or raspi using UDP method and automatically create a CSV files with 500 data row per 5 secs. CSV files exported to spectrogram for training dataset

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Fall-detection

Fall detection using MPU6050 with CNN method. Below is all the code related to my project, starting from acquiring raw accelerometer data (X, Y, Z axes). The accelerometer data is then uploaded to a computer or Raspberry Pi using UDP. The system automatically creates CSV files with 500 rows of data every 5 seconds. These CSV files are then converted to spectrograms for the training dataset.

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Fall detection using MPU6050 with CNN method, here is all the code related to my project from get raw accelerometer data( X,Y, Z ) axis. Accelerometer data then uploaded to computer or raspi using UDP method and automatically create a CSV files with 500 data row per 5 secs. CSV files exported to spectrogram for training dataset

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