Multimedia Data Mining research conducted by the European IBM Human Centric Solutions Center group is presented by the in-house multimedia project, whose objective is creating a framework for in-house smart care monitoring for the aging population. The chapter presents an overall framework for collecting, aggregating, and preprocessing multimedia data in real-time and uploading it to a backend system. As a result, this combination of data from diverse sensors provides a wide range of opportunities for applications, which can be built in the prospect of Smart Care. The objective of these applications is to get insights from sets of raw data. In the in-house multimedia implementation we demonstrated how multimedia data collected over time does provide valuable insights about a particular person behavior and wellness. Collecting data from multiple sensors and combining them is essential for better understanding people behavior and helps to avoid misleading conclusions.
CITATION STYLE
Amato, C., Yvon, M., & Ferr É, W. (2015). In-house multimedia data mining. In Multimedia Data Mining and Analytics: Disruptive Innovation (pp. 147–156). Springer International Publishing. https://doi.org/10.1007/978-3-319-14998-1_6
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