MATEC Web Conf.
Volume 252, 2019III International Conference of Computational Methods in Engineering Science (CMES’18)
|Number of page(s)||6|
|Section||Computational Artificial Intelligence|
|Published online||14 January 2019|
An interactive environment for digital registration of human behaviour for biofeedback purposes
Lublin University of Technology, Poland
* Corresponding author: firstname.lastname@example.org
Unceasing development of computing power of modern computers and advanced graphics card functions enable very faithful projections of the virtual world. However, issues related to real-time object generation and object interaction are complex research problems. A designer and programmer face a dilemma of modifying the model. Simplifying the model significantly affects minimisation of a detail. The article presents a position of digital registration of human behaviour in the virtual world. A study of human behaviour has been proposed, where the main stimulant is not an image but a sound. Participants heard different sounds and responded to them. Parameters such as: pulse, hand movement, general posture and movements of the entire body were registered. An analysis of change in the scope of given psychological modality is important for biofeedback, which allows activating a self-regulatory ability by a body’s feedback. In the authors’ research, depending on variability of a respondent’s reaction, a further interaction with the virtual sound object is created. In this environment, fear of dogs was safely examined. The paper presents the results of pilot studies, which indicated that it is possible to control human reactions by analysing registered parameters, learning to control their own reactions and with more frequent biofeedback training – working out concentration and coping in the most extreme conditions.
© The Authors, published by EDP Sciences, 2019
This is an open access article distributed under the terms of the Creative Commons Attribution License 4.0 (http://creativecommons.org/licenses/by/4.0), which permits unrestricted use, distribution, and reproduction in any medium, provided the original work is properly cited.
Current usage metrics show cumulative count of Article Views (full-text article views including HTML views, PDF and ePub downloads, according to the available data) and Abstracts Views on Vision4Press platform.
Data correspond to usage on the plateform after 2015. The current usage metrics is available 48-96 hours after online publication and is updated daily on week days.
Initial download of the metrics may take a while.