ArticleScientific reports2022
Remote photonic detection of human senses using secondary speckle patterns.
Article in Scientific reports, 2022. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 6 papers.
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Who cites it
6 citing papers in PubMed, 14 citations in OpenAlex.
- Visual cortex speckle imaging for shape recognition.Scientific reports · 2025Article
- Sensing Dog Brain Reactions to Smell by AI Speckle Pattern Analysis.Journal of biophotonics · 2025Article
- AI-powered remote monitoring of brain responses to clear and incomprehensible speech via speckle pattern analysis.Journal of biomedical optics · 2025Article
- Speckle pattern analysis with deep learning for low-cost stroke detection: a phantom-based feasibility study.Journal of biomedical optics · 2025Article
- Remote and low-cost intraocular pressure monitoring by deep learning of speckle patterns.Journal of biomedical optics · 2024Article
- Neurophotonics: a comprehensive review, current challenges and future trends.Frontiers in neuroscience · 2024Review
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Authors and funding
6 authors at 1 institution in 1 country.
Funding
No grant is acknowledged in the PubMed record.
Abstract
Neural activity research has recently gained significant attention due to its association with sensory information and behavior control. However, the current methods of brain activity sensing require expensive equipment and physical contact with the tested subject. We propose a novel photonic-based method for remote detection of human senses. Physiological processes associated with hemodynamic activity due to activation of the cerebral cortex affected by different senses have been detected by remote monitoring of nano-vibrations generated by the transient blood flow to the specific regions of the human brain. We have found that a combination of defocused, self-interference random speckle patterns with a spatiotemporal analysis, using Deep Neural Network, allows associating between the activated sense and the seemingly random speckle patterns.
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