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As mental health awareness grows, there is an increasing demand for technologies that can monitor and support emotional well-being. Affective computing systems play a crucial role by providing real-time emotional insights through advanced sensors and algorithms. These technologies enable the early detection of mental health issues by analyzing emotional data, which aids in personalized therapy and continuous patient monitoring. Emotion-recognition software is instrumental in tracking fluctuations in a patient’s emotional state, thereby facilitating timely interventions and customized treatment plans. Additionally, affective computing enhances telehealth services by enabling remote emotional assessments, which is particularly valuable in addressing mental health needs in underserved or remote areas. The integration of affective computing into healthcare improves patient outcomes and drives market expansion.