Enhanced Recognition for Finger Gesture-Based Control in Humanoid Robots Using Inertial Sensors

Abstract

Humanoid robots play a significant role in numerous fields, where efficient and intuitive control inputs are essential, particularly in applications requiring remote operation. In this paper, we investigate the potential advantages of inertial sensors as a key component for generating command signals in humanoid robot control systems. The objective is to accurately detect user motion through inertial sensing, thereby enabling precise control commands. Finger gestures are first captured as signals from the inertial sensor, and movement commands are extracted through filtering and recognition processes. These commands are then translated into corresponding robot actions based on the sensor’s attitude angles. Experimental results demonstrate the accuracy and effectiveness of this method in recognizing finger movements and converting them into reliable robot operations. The use of inertial sensors for gesture recognition simplifies the transmission of control inputs, promoting more user-friendly and efficient interfaces for humanoid robot operation. This approach not only improves control precision but also enhances the practicality of deploying humanoid robots in real-world environments.