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This thesis presents the design and development of a low-cost, voice-controlled, extrinsically actuated prosthetic hand, prioritizing 3D-printable components together with cost-effective actuators, sensors, and electronics that achieve performance comparable to contemporary prosthetic devices, in accordance with current medical and rehabilitation recommendations.\r\n\r\nVoice control is based on a custom spoken-word dataset used to train a lightweight classifier implemented on a low-cost microcontroller. The fingers employ a compliant Fin Ray mechanism, 3D printed using a flexible material that allows them to adapt to grasped objects. Each finger provides two degrees of freedom and is driven by two actuators, each monitored by current sensors to measure and limit the applied force. The thumb features three degrees of freedom to improve dexterity and enable more complex movements. A non-contact temperature sensor detects the temperature of grasped objects, which is communicated intuitively through a color gradient displayed on an LED.\r\n
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