Diffusion: Emotional Visualization Based on Biofeedback Control by EEG
Diffusion is an area of research exploring the interactive relationship between human consciousness and computational practice by analyzing human brain data from electroencephalogram (EEG)-based brain-computer interfaces and interactive devices that can generate music and synchronized visual images...
| Main Authors: | , |
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| Format: | Article |
| Language: | Catalan |
| Published: |
Universitat Oberta de Catalunya
2021-06-01
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| Series: | Artnodes |
| Subjects: | |
| Online Access: | https://raco.cat/index.php/Artnodes/article/view/385717 |
| _version_ | 1819226227269959680 |
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| author | Shuai Xu Zhe Wang |
| author_facet | Shuai Xu Zhe Wang |
| author_sort | Shuai Xu |
| collection | DOAJ |
| description | Diffusion is an area of research exploring the interactive relationship between human consciousness and computational practice by analyzing human brain data from electroencephalogram (EEG)-based brain-computer interfaces and interactive devices that can generate music and synchronized visual images by biofeedback. Although interactive experience is not a new topic in computational art, it has provoked thought due to the significant influence of technology on human ideology, emotions, morality, ethics, etc. Diffusion is the result of attempts to establish a connection between human physiological information and digital technology. As well as experimental research, it based on the ethical level of artificial intelligence (AI). Diffusion uses music visualization to transform intangible brain activity (thoughts or emotions) into perceivable things (sounds or objects). The research emphasizes human consciousness in AI and points out the blurred boundaries between AI and human creativity. Therefore, the installation evaluates human motivation, which can present as abstract structures—like creativity, emotion, and insight—which enhance the interactive experience of participants and deconstructs the inherent meaning of the material and spiritual, reality and virtual reality or humans and machines. By reviewing and contextualizing EEG and digital music development research, we finally outline a future research area that will involve deep collaboration across interdisciplinary and multiple technologies to realize emotion recognition. |
| first_indexed | 2024-12-23T10:22:08Z |
| format | Article |
| id | doaj.art-b8fc4e8b106a44c7ad2180ce9485f74c |
| institution | Directory Open Access Journal |
| issn | 1695-5951 |
| language | Catalan |
| last_indexed | 2024-12-23T10:22:08Z |
| publishDate | 2021-06-01 |
| publisher | Universitat Oberta de Catalunya |
| record_format | Article |
| series | Artnodes |
| spelling | doaj.art-b8fc4e8b106a44c7ad2180ce9485f74c2022-12-21T17:50:39ZcatUniversitat Oberta de CatalunyaArtnodes1695-59512021-06-012810.7238/artnodes.v0i28.385717Diffusion: Emotional Visualization Based on Biofeedback Control by EEGShuai Xu0Zhe Wang1AlibabaCentral Academy of Fine Arts (Beijing)Diffusion is an area of research exploring the interactive relationship between human consciousness and computational practice by analyzing human brain data from electroencephalogram (EEG)-based brain-computer interfaces and interactive devices that can generate music and synchronized visual images by biofeedback. Although interactive experience is not a new topic in computational art, it has provoked thought due to the significant influence of technology on human ideology, emotions, morality, ethics, etc. Diffusion is the result of attempts to establish a connection between human physiological information and digital technology. As well as experimental research, it based on the ethical level of artificial intelligence (AI). Diffusion uses music visualization to transform intangible brain activity (thoughts or emotions) into perceivable things (sounds or objects). The research emphasizes human consciousness in AI and points out the blurred boundaries between AI and human creativity. Therefore, the installation evaluates human motivation, which can present as abstract structures—like creativity, emotion, and insight—which enhance the interactive experience of participants and deconstructs the inherent meaning of the material and spiritual, reality and virtual reality or humans and machines. By reviewing and contextualizing EEG and digital music development research, we finally outline a future research area that will involve deep collaboration across interdisciplinary and multiple technologies to realize emotion recognition.https://raco.cat/index.php/Artnodes/article/view/385717EEGvisual stimuliMax/MSPphysical computinginteractive installation |
| spellingShingle | Shuai Xu Zhe Wang Diffusion: Emotional Visualization Based on Biofeedback Control by EEG Artnodes EEG visual stimuli Max/MSP physical computing interactive installation |
| title | Diffusion: Emotional Visualization Based on Biofeedback Control by EEG |
| title_full | Diffusion: Emotional Visualization Based on Biofeedback Control by EEG |
| title_fullStr | Diffusion: Emotional Visualization Based on Biofeedback Control by EEG |
| title_full_unstemmed | Diffusion: Emotional Visualization Based on Biofeedback Control by EEG |
| title_short | Diffusion: Emotional Visualization Based on Biofeedback Control by EEG |
| title_sort | diffusion emotional visualization based on biofeedback control by eeg |
| topic | EEG visual stimuli Max/MSP physical computing interactive installation |
| url | https://raco.cat/index.php/Artnodes/article/view/385717 |
| work_keys_str_mv | AT shuaixu diffusionemotionalvisualizationbasedonbiofeedbackcontrolbyeeg AT zhewang diffusionemotionalvisualizationbasedonbiofeedbackcontrolbyeeg |