Omnidirectional recognition and abnormal behavior detection of elderly based on frequency-modulated continuous-wave radar data fusion

Key Points

• Abnormal behavior detection is achieved using frequency-modulated continuous-wave radar data.
• Key metrics include enhanced recognition accuracy and improved response times under diverse conditions.
• Observational analysis focusing on data fusion techniques across various environments highlights effective monitoring.
• Further validation across multiple settings is necessary for broader application of these findings.