Smartphones are used by billions of people all over the world and are equipped with various types of sensors and increasingly powerful processors. The number of smartphone-savvy seniors is on the rise due to increased efforts to design elderly friendly smartphone systems and applications (apps). These smartphone capabilities, combined with advanced signal processing algorithms, are a growing platform for different assisted-living solutions, ranging from human-computer interfaces for disabled users to health-monitoring and fitness-tracking devices. This combined software and hardware development, along with the culture of using portable and wearable devices, gives a practical, low-cost, and accessible solution for various assisted living apps and, in particular, physiological monitoring for home or ambulatory settings [1]. However, many of these solutions are not yet mature enough to be released for public use. Our focus here is health-monitoring apps based on mobile imaging to review the current state of the art and discuss the challenges.
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Nejati et al. (2016) studied this question.
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