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The Pillow Project

A Brown HCI Group Research Project

Prototype developed by Tiffany Chen as her senior thesis

Dependencies

  • Python 3
  • Arduino
  • SpeechRecognition
  • PyAudio
  • Portaudio
  • FLAC
  • Matplotlib
  • scikit-learn,
  • espeak
  • numpy
  • scipy

Hardware

  • Raspberry Pi 3 Model B+
  • Arduino Uno
  • Adafruit BNO055
  • FSR

Scripts

  • prototype_voiceRecognition.py

    • Uses Google Speech Recognition API to listen to initialization commands.
    • Triggers calibration script.

  • prototype_model_data_collector.py

    • Calibration Script. Collects data for model training.

  • prototype_sleep_data_collector.py

    • Collects data during sleep. Needs to be started manually.

  • prototype_classifier_decisiontree.py

    • Trains the model with data collected during calibration. The model is then used to classify data collected during sleep.
    • Can be changed to use other machine learning models.

  • prototype_sendData.py

    • Sends data files to SleepCoacher server.

To Run

  • Run prototype_voiceRecognition.py to use Voice User Interface (VUI).

  • Run prototype_model_data_collector.py to calibrate the pillow (train machine learning model).

  • Run prototype_model_data_collector.py to collect data during sleep.