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Measuring Vital Signs and Pain Intensity Level Classification through Image Processing

Abstract:

This study developed an all-in-one portable electronic device that measures the four human vital signs and classifies the pain intensity level through image processing. The inputs are gathered from several sensors for the vital signs and from a webcam for the pain intensity level classification. All data is processed by an Arduino Nano board and a Raspberry Pi 3 with the integration of OpenFace and the Prkachin and Solomon Pain Intensity (PSPI) scale for image processing. The output is then displayed on a liquid crystal display (LCD) integrated into the device and could be monitored wirelessly on a smartphone or computer that supports the VNC application. The device is then tested on a group with members aged eighteen (18) years old and above.