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• W2735209948 abstract "Recognition of user's postures and activities is particularly important, as it allows applications to customize their operations according to the current situation. The vast majority of available solutions are based on wearable devices equipped with accelerometers and gyroscopes. In this article, a different approach is explored: The posture of the user is inferred from the interdistances between the set of devices worn by the user. Interdistances are first measured by using ultra-wideband transceivers operating in two-way ranging mode and then provided as input to a classifier that estimates current posture. An experimental evaluation shows that the proposed method is effective (up to ~98.2% accuracy), especially when using a personalized model. The method could be used to enhance the accuracy of activity recognition systems based on inertial sensors." @default.
• W2735209948 created "2017-07-21" @default.
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• W2735209948 date "2017-08-01" @default.
• W2735209948 modified "2023-09-26" @default.
• W2735209948 title "Posture Recognition Using the Interdistances Between Wearable Devices" @default.
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• W2735209948 doi "https://doi.org/10.1109/lsens.2017.2726759" @default.
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