A new system to detect coronavirus social distance violation

In this paper, a novel solution to avoid new infections is presented. Instead of tracing users’ locations, the presence of individuals is detected by analysing the voices, and people’s faces are detected by the camera. To do this, two different Android applications were implemented. The first one uses the camera to detect people’s faces whenever the user answers or performs a phone call. Firebase Platform will be used to detect faces captured by the camera and determine its size and estimate their distance to the phone terminal. The second application uses voice biometrics to differentiate the users’ voice from unknown speakers and creates a neural network model based on 5 samples of the user’s voice. This feature will only be activated whenever the user is surfing the Internet or using other applications to prevent undesired contacts. Currently, the patient’s tracking is performed by geolocation or by using Bluetooth connection. Although face detection and voice recognition are existing methods, this paper aims to use them and integrate both in a single device. Our application cannot violate privacy since it does not save the data used to carry out the detection and does not associate this data to people.

ADVANCED TECHNOLOGIES FOR ASSESSING THE STATE OF THE HUMAN-OPERATOR IN THE PROCESS OF PROFESSIONAL ACTIVITY

Introduction. The search for non-contact methods for assessing the functional state of a human operator in the process of professional activity is an urgent task of applied physiology. The technology for recording and analyzing physiological information based on the parameters of a person's voice can become one of the reliable and valid assessment methods. Research objective. Investigation of the possibility of non-contact voice biometrics for assessing fatigue, fatigue and / or psycho-emotional stress among operators in the course of their professional activities. Materials and methods. The study involved 14 civil aviation pilots. The pilots performed model flights on the aircraft cockpit prototyping stand with 6 different scenarios. Methods for assessing the central nervous and cardiovascular systems, the eye tracking method were used, the voice of the pilots was recorded with subsequent analysis of the parameterized voice characteristics. Research results. The state of pronounced fatigue begins to form after the 5th flight, which corresponds to the state of “functional stress”, the deterioration of the SVMR indicators relative to the background values after the 5th flight by an average of 14%, and after the 6th flight by 19% and the CVMR indicators by 19 and 26 %. An increase in the number and total duration of fixations, saccades and blinks by the 6th flight was revealed, as well as a change in the parameterized characteristics of the voice “Speech rate/pause” and “Width of the Fundamental tone peaks on the left”. Conclusions. Parametrized characteristics of human voice biometrics, which have similar dynamics with psychophysiological indicators of the state of the central nervous system, have been determined.