Seongho Cho
ABSTRACT
As mobile and wearable devices become widespread, sensors and media input methods are used to track daily health records. Previously, the step counts, workouts, and sleep efficiencies are measured through accelerometer or GPS sensor in the device. It has been gradually expanded to other health information monitoring using various media input peripherals. For example, camera-based image recognition and voice input can be used as easy tracking methods. And optical sensors can continuously measure the various biometric information, such as heart rate, oxygen saturation, stress level, and even blood pressure. Using these various information, the mobile healthcare services can encourage users to engage in healthy activities or provide personalized recommendation. In this talk, I will introduce the related market trends and some challenges.
- Samsung Health, https://health.apps.samsung.com/Google Scholar
Index Terms
- Health Record Tracking Enhancement based on Multimedia and Machine Learning for Mobile Healthcare: Trends and Challenges
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