Analýza sociálního kontaktu pacientů s využitím mmWave radaru

Abstract

In this bachelor's thesis, the focus is on the social interaction of patients using mmWave radar technology. The aim is to develop software that can be used to locate patients and analyze their social activities based on this data. Compared to conventional methods of patient monitoring, radar does not depend on good lighting conditions, and the patient does not need to actively cooperate, as highlighted by researchers from the VTT Technical Research Centre of Finland. Patients avoid the stress associated with camera surveillance and feel more relaxed. This last point is particularly important in cases of cognitive impairment, where wearing sensors is often uncomfortable or even intolerable. As part of this thesis, an examination of existing solutions and the potential applicability of mmWave radars was carried out. A software solution for detecting social interactions was developed and demonstrated visually in 3D. The findings suggest that this method could be applied in current hospital environments.

Description

Subject(s)

mmWave radar, social interaction, patient tracking, security and privacy, behavioral analytics, medical technology, motion detection, non-contact monitoring, cognitive disorders, 3D visualization, data processing, machine learning, automatic identification, modern healthcare, ethical aspects of monitoring.

Citation