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Anomaly detection in exercise patterns identifies deviations or irregularities in a senior's usual exercise routine. By using machine learning algorithms, the system can flag sudden changes or inconsistencies, which may indicate potential health or mobility issues. This proactive approach aids in early intervention, ensuring that users receive appropriate care or adjustments to their personalized routines.