05 / Embedded ML · Assistive technology
Gesture-controlled wheelchair
Hand gestures translated into wheelchair motor commands using sensors, machine learning and Arduino.
HUMAN → MACHINE05
Sense → classify → moveThe question
How can a hand gesture become a control signal for a wheelchair?
The approach
I connected sensor input, a machine-learning classifier and motor control in an Arduino-based wheelchair system. The classified hand gesture is mapped to a motor command.
How it works
Read the gesture
Sensors provide the input for a machine-learning model that classifies the hand gesture.
Translate it into motion
The classified gesture maps to motor commands in the Arduino-based wheelchair system, connecting the model's output with physical movement.
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