Commercializing Biometric Technology in Elder Care: Enhancing Internet+ Services for Senior Health Management

Abstract

This study explores the integration of biometric recognition technology into "Internet+" senior care services, identifying it as a pivotal enhancement for modern elder care systems. Leveraging the ERG hierarchy of needs theory, we propose a comprehensive smart senior care system that amalgamates medical and health care with digital connectivity. This system is supported by a robust database combining personal, health, and care demand data of the elderly. Key technological implementations include facial recognition to identify elderly individuals and sound recognition technology to analyze and collect vocal information. These biometric tools facilitate personalized care by adjusting services according to seniors' unique biological and emotional needs. The system's efficacy in providing tailored care is further enhanced by designing activity spaces based on optimal sound scene feature parameters, with resonance peak ratio values indicating distinct acoustic environments tailored for activities such as table tennis, where the unique acoustic signatures (e.g., F1/F2, F3/F4) significantly differ, showcasing the system's ability to customize and enhance elderly care environments effectively. This biometrically[1]enhanced smart care system not only offers a more responsive and customized care model for the elderly but also illustrates a significant step forward in the commercial application of biometric technology within the health sector, presenting new opportunities for enhancing senior care through Internet+ services.