Detection and classification of multidirectional steps for motor-cognitive training in older adults using shoe-mounted inertial sensors.

Clicks: 300
ID: 93747
2019
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Ranked #69 of 127 articles by views in conference proceedings : annual international conference of the ieee engineering in medicine and biology society ieee engineering in medicine and biology society annual conference

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Abstract
Interactive games have the potential to mitigate or prevent gait impairments and cognitive decline in older adults. This study aimed at developing a novel real-time step detection and direction classification approach to be used in the evaluation of multidirectional steps and interaction while playing motor-cognitive games. Two shoe-mounted inertial sensors were used to capture foot motions, which were treated interchangeably after the application of a novel foot sagittal reflection method. A single multi-class classifier was able to distinguish step direction with an accuracy of 98.1%. Experimental results support the applicability of the solution in the context of interactive motor-cognitive training.
Reference Key
guimaraes2019detectionconference Use this key to autocite in the manuscript while using SciMatic Manuscript Manager or Thesis Manager
Authors Guimaraes, Vania;Sousa, Ines;Correia, Miguel V;
Journal conference proceedings : annual international conference of the ieee engineering in medicine and biology society ieee engineering in medicine and biology society annual conference
Year 2019
DOI
10.1109/EMBC.2019.8856851
URL
Keywords
bluetooth low energy (ble) lora ble long range ieee 802.11ah isa100.11a industrial internet of things (iiot) narrowband iot (nb-iot) time slotted channel hopping (tsch) wifi halow wirelesshart

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