Authors: Ms. Aneesha Shokeen, Mr. Yash Mittal
Abstract: In emergency situations, quick response and hands-free communication are critical for safety. This research introduces an AI-driven gesture recognition system designed to activate an SOS alert using simple hand gestures. The system employs MediaPipe for precise hand tracking, an SVM classifier for real-time gesture recognition, and an integrated SMS alert system that includes GPS location tracking. The proposed approach ensures accessibility for individuals in distress, particularly those with disabilities or in high-risk environments where traditional emergency triggers may be impractical. The experimental results show a 95.19% accuracy in gesture classification, demonstrating the system’s effectiveness in real-world scenarios. Future work aims to incorporate deep learning-based recognition models and deploy the system on wearable and mobile platforms to enhance usability and responsiveness
DOI: https://doi.org/10.5281/zenodo.16410503
