HIGHLIGHTS
- who: ABDUL SABOOR et al. from the Johann Seebeck Department of Electronics, Tallinn University of Technology, Tallinn, Estonia , Department of Health Science and Technology, Aalborg University, Aalborg, Denmark have published the Article: Latest Research Trends in Gait Analysis Using Wearable Sensors and Machine Learning: A Systematic Review, in the Journal: (JOURNAL)
- what: The paper provides recommendations for selecting a MLM wearable sensor and its location for a specific application. The paper shows that CNN offers the highest HAR accuracy (93.8%) as compared to SVM (90%) and DBN (88%). The aim of this paper is . . .
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