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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 …
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 …
research area that could have significant impacts on security and environmental monitoring …
Fedins2: A federated-edge-learning-based inertial navigation system with segment fusion
Modern inertial measurement units (IMUs) with low cost, small size, and low power
consumption are the key to improving indoor positioning accuracy. However, the …
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
Smartphone-based pedestrian dead reckoning (PDR) has been widely used indoors for
continuous localization. However, the specific tracking solutions under different modes are …
continuous localization. However, the specific tracking solutions under different modes are …
A context-aware smartphone-based 3D indoor positioning using pedestrian dead reckoning
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 …
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
Nowadays, sensor-equipped mobile devices allow us to detect basic daily activities
accurately. However, the accuracy of the existing activity recognition methods decreases …
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 …
more and more important role in pedestrian indoor positioning. In particular, the application …
Survey of machine learning methods applied to urban mobility
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 …
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
All available cellular-based floor identification systems require information from multiple cell
towers simultaneously, a feature absent in almost all phones, thus constraining their …
towers simultaneously, a feature absent in almost all phones, thus constraining their …
A survey of indoor localization systems in multi-floor environments
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 …
applications location-based services can provide, such as use cases in emergency …