A New Frontier in Health and Wellness: Subvocalization Input to Neural Network Chatbot Audio Output
In Flow, TensorFlow, and Surface Electromyography (sEMG) for Deepfakes in Healthcare I have referenced a National Library of Medicine paper High-resolution surface electromyographic activities of facial muscles during mimic movements in healthy adults: A prospective observational study. sEMG can be used to improve subvocal recognition (SVR).
When sEMG enhances SVR, building external, noninvasive devices that can be affixed to the human jaw and ear is possible. Something that is as easy to put on and take off as over the ear headphones.
If you’re saying PLEASE SPEAK PLAINLY!!!
In 2023, it is possible to do the following:
- Stay quiet, and use “telepathy” to say something to a smartwatch, for example.
- Have the smart watch connected to an Artificial Intelligence Chatbot.
- Have the Chatbot reply to your wireless earphone.
Wait a minute, hasn’t this been done before?
Yes, sort of. The technologies exists.
These devices detect the nerve signals in the larynx and mandible to convert vocalizations into human speech pattern outputs. NASA developed something before this article on January 1, 2007 dubbed Applications for Subvocal Speech, written by Charles Jorgensen.
Also, a story published by MIT News, Computer system transcribes words users “speak silently” on April 4, 2018 talks about AlterEgo developed by MIT Media Lab.