Instant Slow-Motion Visualization of High-Speed Phenomena Based on Event Camera
High-speed phenomena are difficult to perceive due to human vision limitations, yet their immediate understanding is crucial in fields like sports refereeing and neurosciences. Existing systems often rely on post-processing or require active user intervention, failing to provide intuitive, real-time...
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| Format: | Article |
| Language: | English |
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IEEE
2025-01-01
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| Series: | IEEE Access |
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| Online Access: | https://ieeexplore.ieee.org/document/11059901/ |
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| author | Kotoka Matsunaga Katsutoshi Masai Hideo Saito |
| author_facet | Kotoka Matsunaga Katsutoshi Masai Hideo Saito |
| author_sort | Kotoka Matsunaga |
| collection | DOAJ |
| description | High-speed phenomena are difficult to perceive due to human vision limitations, yet their immediate understanding is crucial in fields like sports refereeing and neurosciences. Existing systems often rely on post-processing or require active user intervention, failing to provide intuitive, real-time insights. This study presents a system that instantly visualizes high-speed phenomena in slow-motion using an event camera. The system prepares a background image, captured in advance, as a spatial reference. It overlays detected high-speed phenomena on this image for visualization. The system automatically detects high-speed phenomena and transitions to slow-motion for detailed analysis, while maintaining a real-time display. Auditory notifications alert users to critical moments. Through two user studies, we confirmed that event cameras improved accurate perception of high-speed phenomena. Moreover, the integration of Event-Timeline enables users to perceive these phenomena intuitively, without experiencing cognitive overload. The experimental results demonstrated a significant usability improvement (SUS: 84.7, NASA-TLX: 16.3). Focus group discussions refined visualization techniques, resulting in the development of design implications. This system enables intuitive and immediate understanding of unpredictable high-speed occurrences, with applications in sports, animal behavior monitoring, and motion analysis. |
| format | Article |
| id | doaj-art-81b390bf904f459eac4eaa846f09b3ea |
| institution | Kabale University |
| issn | 2169-3536 |
| language | English |
| publishDate | 2025-01-01 |
| publisher | IEEE |
| record_format | Article |
| series | IEEE Access |
| spelling | doaj-art-81b390bf904f459eac4eaa846f09b3ea2025-08-20T03:50:06ZengIEEEIEEE Access2169-35362025-01-011311348211349410.1109/ACCESS.2025.358438211059901Instant Slow-Motion Visualization of High-Speed Phenomena Based on Event CameraKotoka Matsunaga0https://orcid.org/0009-0006-4217-9493Katsutoshi Masai1https://orcid.org/0000-0001-9768-5314Hideo Saito2https://orcid.org/0000-0002-2421-9862Department of Information and Computer Science, Keio University, Yokohama, JapanDepartment of Advanced Information Technology, Kyushu University, Fukuoka, JapanDepartment of Information and Computer Science, Keio University, Yokohama, JapanHigh-speed phenomena are difficult to perceive due to human vision limitations, yet their immediate understanding is crucial in fields like sports refereeing and neurosciences. Existing systems often rely on post-processing or require active user intervention, failing to provide intuitive, real-time insights. This study presents a system that instantly visualizes high-speed phenomena in slow-motion using an event camera. The system prepares a background image, captured in advance, as a spatial reference. It overlays detected high-speed phenomena on this image for visualization. The system automatically detects high-speed phenomena and transitions to slow-motion for detailed analysis, while maintaining a real-time display. Auditory notifications alert users to critical moments. Through two user studies, we confirmed that event cameras improved accurate perception of high-speed phenomena. Moreover, the integration of Event-Timeline enables users to perceive these phenomena intuitively, without experiencing cognitive overload. The experimental results demonstrated a significant usability improvement (SUS: 84.7, NASA-TLX: 16.3). Focus group discussions refined visualization techniques, resulting in the development of design implications. This system enables intuitive and immediate understanding of unpredictable high-speed occurrences, with applications in sports, animal behavior monitoring, and motion analysis.https://ieeexplore.ieee.org/document/11059901/Decision support systemshuman-computer interactioninteractive systemvisualization |
| spellingShingle | Kotoka Matsunaga Katsutoshi Masai Hideo Saito Instant Slow-Motion Visualization of High-Speed Phenomena Based on Event Camera IEEE Access Decision support systems human-computer interaction interactive system visualization |
| title | Instant Slow-Motion Visualization of High-Speed Phenomena Based on Event Camera |
| title_full | Instant Slow-Motion Visualization of High-Speed Phenomena Based on Event Camera |
| title_fullStr | Instant Slow-Motion Visualization of High-Speed Phenomena Based on Event Camera |
| title_full_unstemmed | Instant Slow-Motion Visualization of High-Speed Phenomena Based on Event Camera |
| title_short | Instant Slow-Motion Visualization of High-Speed Phenomena Based on Event Camera |
| title_sort | instant slow motion visualization of high speed phenomena based on event camera |
| topic | Decision support systems human-computer interaction interactive system visualization |
| url | https://ieeexplore.ieee.org/document/11059901/ |
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