HIGHLIGHTS
- who: Mohamed Elgendi from the University of Pavia, Italy have published the article: Fall detection using accelerometer-based smartphones: Where do we go from here?, in the Journal: (JOURNAL)
- what: The study presents quite extensively the technological and IT possibilities for a fall detection system. The authors aim to provide a comprehensive comparative view of the selected articles by analyzing them according to a set of features and metrics. Goal: the study should be focused on fall detection. Among the studies were multiple ideas to minimize power usage, such as leveraging an adaptive sampling frequency . . .
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