Research on hand gesture recognition has explored inertial, optical, and EMG sensors, but wearable and efficient solutions remain limited. This work presents a glove with soft differential capacitive sensors and a microcontroller for real-time classification of four hand grasps, achieving 87.5% accuracy with a dense neural network on the Arduino Nano 33 BLE Sense.