THE LIE DETECTOR Tim Fleck Mike Gruener Brian Halaburka Chris Moskaites OBJECTIVES To create a sensing device modeled after a polygraph test Test would incorporate results from several physiological sensors Create a Labview program to gather and analyze subject data POLYGRAPH THEORY Polygraphs measure: Heart rate Respiratory rate Blood pressure Arm and leg motion Electrodermal activity INITIAL IDEAS Use real world polygraphs as design models Assemble a polygraph which monitors heart rate, breathing rate and electrodermal activity Create a Labview program which would self-analyze data and “detect” deceptive behavior FINAL LIE DETECTOR Incorporates two physiological sensors detecting two phenomenon 1)electrodermal activity 2)motion Self analyzes received data DETECTOR LOGIC Subject Electrodermal Sensor/Motion Sensor DAQ New Data LABVIEW/CPU Display Results SENSORS Electrocardiogram or EKG Galvanic Skin Response Sensor ELECTROCARDIOGRAM Measures the electrical activity of the heart Determines hearts rate and rhythm Our project used it to measure motion GALVANIC SKIN RESPONSE SENSOR Senses moisture Stand-alone unit Produces noise Frequency was too fast for the DAQ CREATED SKIN SENSOR Based off the idea that skin resistance decreases with moisture Used a voltage difference circuit Amplified the voltage difference to obtain obvious results LABVIEW LOGIC (EKG) Take initial readings visually from the waveform graph Calibrate the high and low end of the threshold based on the initial readings Every question after will be compared to the threshold If a person’s motions go above the threshold, a LED goes on, indicating a lie LABVIEW LOGIC (GSR) Takes voltage readings of subject’s fingers until button is pushed Then it computes and displays and average voltage for the given time period Displays a waveform chart showing how much the subject’s voltage is increasing from the average as resistance decreases If the in average increase goes above a certain predetermined value, a light goes on, indicating a lie DATA Thresholds were determined by analyzing results gathered from group testing Normalized against predetermined values DATA ANALYSIS AND RESULTS Galvanic Sensor: Computes voltage average Determines a lie if the subject’s voltage goes above a threshold DATA ANALYSIS AND RESULTS EKG: Displays the electrical impulses generated by a human body When a certain level of voltage is generated in the body it rises above a predetermined value indicating irregular behavior Detects movements from bodily extremities, specifically the arms and legs NORMAL EKG WAVEFORM DECEPTIVE WAVEFORM SOURCES OF ERROR Nervousness of test subject Calibration errors Difficulties Heart Rate Monitor Galvanic Skin Response LABVIEW Lab Setup CONCLUSIONS “Simple” circuitry increases in complexity once work begins Check and recheck components before and after assembly Start early Be flexible and constantly improve