AIHAND
AIHAND for Hand Amputees
Artificial hands have come a long way. Neural networks are computer models that learn patterns, and they now help prosthetic hands move in a more natural and responsive way.
AIHAND is built for hand amputees. Muscle sensors pick up the tiny electrical signals made when a muscle tightens. The neural network reads these signals to work out which movement the user wants, so the hand can copy natural hand motions.
Brain signal sensors can also pick up brain activity, so a user can control the hand with thought commands. When muscle signals and brain signals work together, the system forms a closed loop. The hand learns the user's movements and intentions over time, which makes it more precise and quicker to respond.
The system can also add sensory feedback, which gives the user a sense of touch or pressure. The goal is to restore function, feel more natural, and help amputees do daily tasks with greater independence.
Potential Markets
Our niche sits where these markets meet. Sizes are in billions of US dollars.
Our niche market
8% growth per year
Robotic prosthetics
9.8% growth per year
Brain-computer interfaces
15.8% growth per year
Rehabilitation robots
15.2% growth per year
Exoskeletons
16.5% growth per year
Assistive technology
5.2% growth per year
Neurotechnology
13.12% growth per year
Prosthetics and orthotics
5.15% growth per year
Haptic technology
7.6% growth per year
Medical robots
15.1% growth per year
Market sizes and growth rates are estimates based on published industry sources and Aicody analysis. Later years are projections, not guarantees of results.
