Dear Colleagues,

Over the last several years, we have witnessed major advancements in the development of sensor technologies and wearable devices with the goal of collecting various types of data in many application domains. Based on such technologies, many commercial products have swamped the market and found their way onto the wrists, ankles, and belts of many users. Although these developments are certainly welcome, so much is left to be done to take full advantage of the data gathered from such devices. The most critical missing component is the lack of advanced data analytics. In the case of health monitoring, like many aspects of healthcare, the focus has been primarily on producing devices with data collection capabilities rather than developing advanced models for analyzing the available data.

In this Special Issues of Sensors, we attempt to fill this knowledge gap by soliciting papers related to data analytics that connect mobility and heath. New algorithms and tools can be applied to analyze big mobility data and reveal new useful health-related features. Positive results in this direction will pave the way towards a new decision support system that leads to new discoveries in Biomedical research and healthcare applications.

Sensors is a journal that primarily focuses on publishing research associated with the technology of sesors. It also includes, with less frequency, papers that address various applications of sensors. The proposed Special Issue highlights the application side of Sensors and hence enriches the applied research published in Sensors and expands on that aspect of the journal. In particular, by choosing a rather critical application domain related to biomedical studies and healthcare, it builds on the notion of “how useful sensors can be” and takes the application aspect of Sensors to a higher level. Sensors have been used to gather health-relatead data for a while now, but mostly in a casual and non-formal way. The proposed issue emphasizes the concept of extracting useful knowledge from raw data, which is a critical concept in big data analyatics.

Prof. Dr. Hesham H. Ali
Guest Editor

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