Flex Sensor & Voice Control Robotic Hand

Abstract

This project presents the design and development of a robotic hand controlled through two primary input methods: flex sensors and voice commands. The system aims to replicate human hand movements and perform basic grasping actions using sensor-based inputs, making it particularly useful in applications such as assistive technology, prosthetics, and remote manipulation. The flex sensor component of the system captures finger bending motions from a wearable glove, translating real-time human hand gestures into corresponding robotic finger movements. Meanwhile, the voice control system utilizes a speech recognition module to interpret predefined voice commands, enabling hands-free operation for specific tasks. An Arduino microcontroller processes inputs from both control methods, directing servo motors that actuate the robotic fingers. This dual-input approach enhances the flexibility and usability of the robotic hand, making it adaptable to various user needs and environments. The integration of sensor data with precise motor control demonstrates a cost-effective and efficient solution in the field of human-machine interaction and automation.