This work focuses on the development of a gesture recognition system using a miniature MEMS accelerometer. The system is capable of recognizing hand gestures in 3D space and has potential applications in remote control, command systems, and human-machine interaction. By utilizing accelerometer-based measurements and a time-domain approach, the system achieves high accuracy and efficiency without the need for complex computation or additional sensors. The proposed gesture recognition models include sign sequence and Hopfield-based, velocity increment-based, and sign sequence and template matching-based approaches.
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