Jan 18, 2022 · A novel deep network architecture is designed for extracting the motion vector in the device coordinates using accelerometer measurements.

Feb 28, 2022 · In this article, the problem of estimating the walking direction is addressed by a learning-based approach. Specifically, a novel deep network ...

Dec 9, 2024 · Manos et al. employed a deep network-based framework to estimate walking direction using smartphone sensors 15 reducing the impacts of ...

Fingerprint. Dive into the research topics of 'Walking Direction Estimation Using Smartphone Sensors: A Deep Network-Based Framework'.

Smartphone-based inertial and magnetic sensors can be the basis for pedestrian navigation, whenever external positioning signals are limited or unavailable.

Oct 24, 2023 · IMU sensors embedded in smartphones can assist in PDR localization by estimating pedestrian walking characteristics in indoor environments, ...

Mar 5, 2019 · In this paper, we present DeepWalking, a deep learning based walking speed estimation framework for smartphone that can be easily integrated ...

Inertia-based methods, inertial sensors, such as accelerom- eters and gyroscopes, are used to record the inertial data generated by the movement of a walking ...

We then utilize the precise walking distances recorded by smartphones to refine the accuracy of WiFi sensing. This integrated approach not only yields superior ...

Nov 6, 2024 · This paper proposes an outlier-robust pedestrian walking direction estimation method. The outliers caused by the unexpected behavior of pedestrians, eg, wiping ...