Abstract: Human Identification Based on Free-Style Activities is a system designed to identify individuals by analyzing their unique patterns of free-style activities, such as walking, running, or gestures. The system aims to provide a reliable and efficient method of identification that goes beyond traditional biometric measures. By leveraging advanced algorithms and machine learning techniques, it captures and analyzes the distinctive characteristics of an individual's activities to establish their identity. This abstract presents the concept and potential benefits of Human Identification Based on Free-Style Activities, highlighting its potential applications in security, surveillance, and forensic investigations.
Keywords: Free-Style Activities, Activity Recognition, Unique Patterns, Machine Learning.
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DOI:
10.17148/IJARCCE.2023.12587
