<?xml version="1.0" encoding="UTF-8"?><oembed><type>video</type><version>1.0</version><html>&lt;iframe src=&quot;https://www.loom.com/embed/bc05265792b94813ac4890f22db602ee&quot; frameborder=&quot;0&quot; width=&quot;1920&quot; height=&quot;1440&quot; webkitallowfullscreen mozallowfullscreen allowfullscreen&gt;&lt;/iframe&gt;</html><height>1440</height><width>1920</width><provider_name>Loom</provider_name><provider_url>https://www.loom.com</provider_url><thumbnail_height>1440</thumbnail_height><thumbnail_width>1920</thumbnail_width><thumbnail_url>https://cdn.loom.com/sessions/thumbnails/bc05265792b94813ac4890f22db602ee-91626d7c4f3ee203.gif</thumbnail_url><duration>174.971</duration><title>Re:  - 15 March 2026</title><description>In this video, I showcase my sub vocal recognition system that I&apos;ve built using a kit from India, where I soldered the operation amplifier myself. The system detects electrical impulses from my tongue muscle and displays them on a graph, illustrating how these movements correspond to speech, even during silent speech. I demonstrate the system&apos;s functionality by flexing my tongue and showing the resulting changes on the graph. I also mention that there are other muscles involved, like the mastoid muscles, that could enhance this recognition. I encourage you to observe the graph as I perform these movements.</description></oembed>