Recent advances in pedestrian inertial navigation based on smartphone: A review
Q Wang, M Fu, J Wang, H Luo, L Sun, Z Ma… - IEEE Sensors …, 2022 - ieeexplore.ieee.org
Indoor location-based service is a hot research topic whose application market size is
expected to grow from 41 billion by 2022 and 58 billion by 2023. As a portable …
expected to grow from 41 billion by 2022 and 58 billion by 2023. As a portable …
Recent advances in pedestrian navigation activity recognition: a review
Q Wang, H Luo, J Wang, L Sun, Z Ma… - IEEE Sensors …, 2022 - ieeexplore.ieee.org
Pedestrian navigation activity recognition (PNAR) has a significant impact on positioning
and tracking performance. Smartphone-based PNAR utilizes measurements from sensors …
and tracking performance. Smartphone-based PNAR utilizes measurements from sensors …
Accurate ambulatory gait analysis in walking and running using machine learning models
Wearable sensors have been proposed as alternatives to traditional laboratory equipment
for low-cost and portable real-time gait analysis in unconstrained environments. However …
for low-cost and portable real-time gait analysis in unconstrained environments. However …
Boosting inertial-based human activity recognition with transformers
Activity recognition problems such as human activity recognition and smartphone location
recognition can improve the accuracy of different navigation or healthcare tasks, which rely …
recognition can improve the accuracy of different navigation or healthcare tasks, which rely …
Pedestrian dead reckoning based on walking pattern recognition and online magnetic fingerprint trajectory calibration
Q Wang, H Luo, H **ong, A Men, F Zhao… - IEEE Internet of …, 2020 - ieeexplore.ieee.org
With the explosive development of pervasive computing and the Internet of Things (IoT),
indoor positioning and navigation have attracted immense attention over recent years …
indoor positioning and navigation have attracted immense attention over recent years …
PDRNet: A deep-learning pedestrian dead reckoning framework
Pedestrian dead reckoning is a well-known approach for indoor navigation. There, the
smartphone's inertial sensors readings are used to determine the user position by utilizing …
smartphone's inertial sensors readings are used to determine the user position by utilizing …
StepNet—Deep learning approaches for step length estimation
The case of a user walking with a smartphone in an indoor environment is considered.
Instead of using traditional pedestrian dead reckoning approaches to estimate the user step …
Instead of using traditional pedestrian dead reckoning approaches to estimate the user step …
Lidr: Visible-light-communication-assisted dead reckoning for accurate indoor localization
Pedestrian dead reckoning (PDR) is an inertial navigation system that relies on smartphone
sensors for estimating a pedestrian's step movements. However, such systems suffer from …
sensors for estimating a pedestrian's step movements. However, such systems suffer from …
A deep learning approach for foot trajectory estimation in gait analysis using inertial sensors
Gait performance is an important marker of motor and cognitive decline in older adults. An
instrumented gait analysis resorting to inertial sensors allows the complete evaluation of …
instrumented gait analysis resorting to inertial sensors allows the complete evaluation of …
A bidirectional LSTM for estimating dynamic human velocities from a single IMU
The main challenge in estimating human velocity from noisy Inertial Measurement Units
(IMUs) are the errors that accumulate by integrating noisy accelerometer signals over a long …
(IMUs) are the errors that accumulate by integrating noisy accelerometer signals over a long …