How It Works
Sensor → AI → Personalized Feedback Loop
FinalStep-AI uses wearable motion sensors (MEMS IMUs) to capture a person’s real-time movements. Camera to capture users natural appearance when needed. This data is transmitted to an intelligent analysis engine — “Hal” — which compares the movement against an expert model.
If there’s a mismatch, Hal instantly generates visual and audio feedback, guiding the person toward the correct technique — all in near real-time.
This process mimics a skilled instructor observing and correcting your performance. The difference? Hal never sleeps, doesn’t forget, and adjusts for every person — individually.
In Summary:
- Motion Captured by wearable sensors and mo-cap
- Data Compared against expert reference
- Instant Feedback shown on-screen and spoken aloud
- User Adjusts and improves performance in near real-time
- Loop continues — improving with each session
The Breakthrough
The inventions herein set new standards for computer – human interaction by mimicking how humans naturally communicate with experts. Traditionally, an expert person provides visual demonstrations and spoken commentary to help us learn. The systems allows computers and individuals to do the same, capturing what a person wishes to achieve or learn using motion tracking MEM’s & Camera sensors, example perfect a human movement, the persons movement is captured via the foregoing devices. With the aid of AI neural network and software databases, the computer can then generate a personalized audio-visual advice presentation in near real-time. What’s different here is person see’s their movement alongside experts (HAL) on any screen and he advises how to improve or what you are doing correctly in near real-time. Video has never shown this back and forth interactivity before between computer (AI) knowledge bases and humans.
This personalized approach means that computers, humanoid robots, or online interactive services can now respond to individual needs with tailored audio-visual feedback, much like human experts do today.
In Summary:
It’s expert personalized audio-visual – level guidance never seen before, delivered by AI over communications networks.