Polygraph-Based Truth Detection System Dataset

Three sensors were used in this study Body Temperature Sensor, Galvanic Skin Response (GSR), and Heart Rate/Beats Per Minute (BPM Sensor). These sensors were mounted on two of the subject’s fingers.
The sensors are connected to an Arduino UNO R3 board through SDA (Serial DAta line) and SCL (Serial CLock line) connections. The Arduino controller is connected to a PC through a USB connection and through a designated serial communication port, the data is sent and synced at a Python script which stores the data in an Excel file. The subject’s ID is the input to the script to ID the file and like it with the subject’s details which is written by the operator before and during the presentation process, see Figure 4 for more details about the process flow.
The study was conducted on 49 subjects, each had his name, age, height, and weight data inserted in an Excel datasheet by the operator. The operator then assigns an ID to the subject and starts the acquaintance test, followed by the main test to observe the answers and store T or F under one of each ten question columns. Besides this collective file (Subjects Data), there a 49 files for each subject containing an average of 130 lines of data signals recorded during the process by the previously mentioned sensors (each line represents a second with a reading from each sensor and a timestamp). The study was conducted on 34 male and 15 female subjects.

For more data about the system that was used to collect this dataset and how the data were processed, please visit and cite our work: https://papers.ssrn.com/sol3/papers.cfm?abstract_id=5031332
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