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Zhou et al., 2019 - Google Patents

Smartphone-based activity recognition for indoor localization using a convolutional neural network

Zhou et al., 2019

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Document ID
1655612036793564320
Author
Zhou B
Yang J
Li Q
Publication year
Publication venue
Sensors

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Snippet

In the indoor environment, the activity of the pedestrian can reflect some semantic information. These activities can be used as the landmarks for indoor localization. In this paper, we propose a pedestrian activities recognition method based on a convolutional …
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    • G06K9/6217Design or setup of recognition systems and techniques; Extraction of features in feature space; Clustering techniques; Blind source separation
    • GPHYSICS
    • G06COMPUTING; CALCULATING; COUNTING
    • G06QDATA PROCESSING SYSTEMS OR METHODS, SPECIALLY ADAPTED FOR ADMINISTRATIVE, COMMERCIAL, FINANCIAL, MANAGERIAL, SUPERVISORY OR FORECASTING PURPOSES; SYSTEMS OR METHODS SPECIALLY ADAPTED FOR ADMINISTRATIVE, COMMERCIAL, FINANCIAL, MANAGERIAL, SUPERVISORY OR FORECASTING PURPOSES, NOT OTHERWISE PROVIDED FOR
    • G06Q50/00Systems or methods specially adapted for a specific business sector, e.g. utilities or tourism
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    • G06Q50/00Systems or methods specially adapted for a specific business sector, e.g. utilities or tourism
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    • GPHYSICS
    • G06COMPUTING; CALCULATING; COUNTING
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