Advanced assistive technology is entering a new era. CIONIC Inc. has patented an artificial intelligence system that predicts a user’s physical intent. This breakthrough powers bionic clothing to help people with mobility impairments walk more naturally.
Bridging the Gap Between Intent and Action
U.S. Patent No. 12515312, titled ‘Mobility based on machine-learned movement determination’, details a platform that monitors motor signals in real-time. Sensors within wearable fabric capture data from the body. A machine-learning model then processes these signals to identify the intended movement. It compares the user’s actual motion against a target model.
Personalized Movement Support
The system is highly adaptive. It can be trained on broad data sets or tailored to a specific individual’s unique gait. When the AI detects a lag in movement, it triggers precise actuation signals. These adjustments optimize the user’s stride during every phase of walking.
Real-World Impact
This innovation targets conditions such as multiple sclerosis and stroke. By using active neuromodulation, the technology closes the gap between the brain and muscles. It transforms simple sleeves into responsive tools that evolve with the user.
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The Research & Experimentation Tax Credit (or R&D Tax Credit), is a general business tax credit under Internal Revenue Code section 41 for companies that incur research and development (R&D) costs in the United States. The credits are a tax incentive for performing qualified research in the United States, resulting in a credit to a tax return. For the first three years of R&D claims, 6% of the total qualified research expenses (QRE) form the gross credit. In the 4th year of claims and beyond, a base amount is calculated, and an adjusted expense line is multiplied times 14%. Click here to learn more.
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