Non-invasive monitoring: Behavioral data can be collected unobtrusively, minimizing discomfort for the subjects.
Early detection: Subtle changes in behavior can be detected earlier than physical symptoms, allowing for prompt intervention.
Continuous tracking: Behavioral biometrics enable continuous monitoring, providing a more comprehensive picture of an individual's health status over time.
Large-scale data collection: With the proliferation of smart devices, it is easier to collect vast amounts of behavioral data from diverse populations.
Data privacy concerns: The collection and storage of behavioral data raise significant privacy issues that must be addressed through robust
data protection measures.
Variability in behavior: Human behavior can be influenced by a myriad of factors, making it challenging to establish baseline behaviors and detect anomalies accurately.
Technical limitations: Advanced algorithms and computational power are required to analyze large datasets effectively, which may not be readily available in all settings.
Ethical considerations: The use of behavioral biometrics must be guided by ethical principles to ensure that individuals' rights are respected and protected.
