Wearable IMU-based human activity recognition algorithm for clinical balance assessment using 1D-CNN and GRU ensemble model

YW Kim, KL Joa, HY Jeong, S Lee - Sensors, 2021 - mdpi.com
In this study, a wearable inertial measurement unit system was introduced to assess patients
via the Berg balance scale (BBS), a clinical test for balance assessment. For this purpose …

Boosting adversarial transferability with shallow-feature attack on SAR images

G Lin, Z Pan, X Zhou, Y Duan, W Bai, D Zhan, L Zhu… - Remote Sensing, 2023 - mdpi.com
Adversarial example generation on Synthetic Aperture Radar (SAR) images is an important
research area that could have significant impacts on security and environmental monitoring …

Fedins2: A federated-edge-learning-based inertial navigation system with segment fusion

J Wang, Y Wu, E Liu, X Wu, X Qu… - IEEE Internet of …, 2023 - ieeexplore.ieee.org
Modern inertial measurement units (IMUs) with low cost, small size, and low power
consumption are the key to improving indoor positioning accuracy. However, the …

FlexPDR: Fully flexible pedestrian dead reckoning using online multimode recognition and time-series decomposition

D Yan, C Shi, T Li, Y Li - IEEE Internet of Things Journal, 2022 - ieeexplore.ieee.org
Smartphone-based pedestrian dead reckoning (PDR) has been widely used indoors for
continuous localization. However, the specific tracking solutions under different modes are …

A context-aware smartphone-based 3D indoor positioning using pedestrian dead reckoning

B Khalili, R Ali Abbaspour, A Chehreghan, N Vesali - Sensors, 2022 - mdpi.com
The rise in location-based service (LBS) applications has increased the need for indoor
positioning. Various methods are available for indoor positioning, among which pedestrian …

[HTML][HTML] Ensemble of RNN classifiers for activity detection using a smartphone and supporting nodes

M Bernaś, B Płaczek, M Lewandowski - Sensors, 2022 - mdpi.com
Nowadays, sensor-equipped mobile devices allow us to detect basic daily activities
accurately. However, the accuracy of the existing activity recognition methods decreases …

An improved pedestrian dead reckoning algorithm based on smartphone built-in MEMS sensors

G Zhao, X Wang, H Zhao, Z Jiang - AEU-International Journal of Electronics …, 2023 - Elsevier
With the advantages of low cost, small size and lightweight, the smartphone has played a
more and more important role in pedestrian indoor positioning. In particular, the application …

Survey of machine learning methods applied to urban mobility

DB Ahmed, EM Diaz - IEEE Access, 2022 - ieeexplore.ieee.org
To increase the sustainability in urban mobility, it is necessary to optimally combine public
and shared vehicles throughout a passenger's trip. In this work, we present a survey on …

Accurate and Ubiquitous Floor Identification at the Edge using a Single Cell Tower

S Mostafa, M Youssef, KA Harras - 2024 IEEE/ACM Symposium …, 2024 - ieeexplore.ieee.org
All available cellular-based floor identification systems require information from multiple cell
towers simultaneously, a feature absent in almost all phones, thus constraining their …

A survey of indoor localization systems in multi-floor environments

S Mostafa, K Harras, M Youssef - Authorea Preprints, 2022 - techrxiv.org
Research in indoor localization has received increasing focus recently due to the various
applications location-based services can provide, such as use cases in emergency …