Analysis of Sensor Data and Machine Learning Models for Gesture Recognition in Smart Toy Design

This study focuses on the analysis of sensor data and machine learning models for gesture recognition in Smart toy design. By examining different sensor technologies and evaluating various machine learning algorithms, the research aims to determine the most effective approaches for enhancing gesture recognition. The findings obtained from analyzing the sensor data and machine learning models will provide valuable insights for developing interactive Smart toys with improved gesture recognition capabilities.