Deep learning in mobile and wireless networking: A survey

C Zhang, P Patras, H Haddadi - IEEE Communications surveys …, 2019 - ieeexplore.ieee.org
The rapid uptake of mobile devices and the rising popularity of mobile applications and
services pose unprecedented demands on mobile and wireless networking infrastructure …

On-device deep learning for mobile and wearable sensing applications: A review

OD Incel, SÖ Bursa - IEEE Sensors Journal, 2023 - ieeexplore.ieee.org
Although running deep-learning (DL) algorithms is challenging due to resource constraints
on mobile and wearable devices, they provide performance improvements compared to …

A survey of deep learning on mobile devices: Applications, optimizations, challenges, and research opportunities

T Zhao, Y Xie, Y Wang, J Cheng, X Guo… - Proceedings of the …, 2022 - ieeexplore.ieee.org
Deep learning (DL) has demonstrated great performance in various applications on
powerful computers and servers. Recently, with the advancement of more powerful mobile …

Pedestrian dead reckoning based on walking pattern recognition and online magnetic fingerprint trajectory calibration

Q Wang, H Luo, H Xiong, 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 based on fingerprint-image and deep learning

W Shao, H Luo, F Zhao, Y Ma, Z Zhao, A Crivello - Ieee Access, 2018 - ieeexplore.ieee.org
Wi-Fi and magnetic field fingerprinting have been a hot topic in indoor positioning
researches because of their ubiquity and location-related features. Wi-Fi signals can provide …

Pedestrian stride-length estimation based on LSTM and denoising autoencoders

Q Wang, L Ye, H Luo, A Men, F Zhao, Y Huang - Sensors, 2019 - mdpi.com
Accurate stride-length estimation is a fundamental component in numerous applications,
such as pedestrian dead reckoning, gait analysis, and human activity recognition. The …

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 …

[HTML][HTML] COVID-19 & privacy: Enhancing of indoor localization architectures towards effective social distancing

P Barsocchi, A Calabrò, A Crivello, S Daoudagh… - Array, 2021 - Elsevier
The way people access services in indoor environments has dramatically changed in the
last year. The countermeasures to the COVID-19 pandemic imposed a disruptive …

Accurate step count with generalized and personalized deep learning on accelerometer data

L Luu, A Pillai, H Lea, R Buendia, FM Khan, G Dennis - Sensors, 2022 - mdpi.com
Physical activity (PA) is globally recognized as a pillar of general health. Step count, as one
measure of PA, is a well known predictor of long-term morbidity and mortality. Despite its …

Accurate indoor positioning using temporal–spatial constraints based on Wi-Fi fine time measurements

W Shao, H Luo, F Zhao, H Tian, S Yan… - IEEE Internet of …, 2020 - ieeexplore.ieee.org
The IEEE 802.11 mc-2016 protocol enables certified devices to obtain precise ranging
information using time-of-flight-based techniques. The ranging error increases in indoor …