Web Technologies Usage for Personalized Generation of Binaural Sounds in Therapeutic Contexts
| dc.contributor.advisor | Bitayeva, Oleksandra | en_US |
| dc.contributor.author | Prokopchuk, Oleksandra | en_US |
| dc.date.accessioned | 2026-08-07T09:44:38Z | |
| dc.date.available | 2026-08-07T09:44:38Z | |
| dc.date.issued | 2026 | |
| dc.description.abstract | This thesis demonstrates the implementation of the web-application for the personalized generation of binaural sounds in therapeutic and cognitively supportive contexts. The main objective of this work is to develop an interactive system, which allows the user to form individual sound sessions, particularly for relaxation, reducing stress, increasing concentration, etc. The architecture of the developed system is based on the combination of Python Flask as a server-side component responsible for computing sound signals, and React.js as a client-side component for the user interface. The project itself considers the generation of binaural tones with given parameters (base frequency, binaural beat frequency, duration, etc.) using various libraries and provides the possibility of mixing synthesized signals with natural background sounds. The developed application demonstrates the practical combination of webtechnologies and digital signal processing (DSP), offering a foundation for creating self-regulation tools, increasing productivity and enhancing emotional balance for users. | en_US |
| dc.identifier.uri | https://ekmair.ukma.edu.ua/handle/123456789/40731 | |
| dc.language.iso | en_US | en_US |
| dc.status | first published | en_US |
| dc.subject | binaural beats | en_US |
| dc.subject | digital signal processing (DSP) | en_US |
| dc.subject | web application | en_US |
| dc.subject | Python Flask | en_US |
| dc.subject | audio synthesis | en_US |
| dc.subject | bachelor`s thesis | en_US |
| dc.title | Web Technologies Usage for Personalized Generation of Binaural Sounds in Therapeutic Contexts | en_US |
| dc.type | Other | en_US |
Files
License bundle
1 - 1 of 1
No Thumbnail Available
- Name:
- license.txt
- Size:
- 1.71 KB
- Format:
- Item-specific license agreed upon to submission
- Description: