Quality of information in mobile crowdsensing: Survey and research challenges

F Restuccia, N Ghosh, S Bhattacharjee… - ACM Transactions on …, 2017 - dl.acm.org
Smartphones have become the most pervasive devices in people's lives and are clearly
transforming the way we live and perceive technology. Today's smartphones benefit from …

Deep learning for inertial positioning: A survey

C Chen, X Pan - IEEE Transactions on Intelligent Transportation …, 2024 - ieeexplore.ieee.org
Inertial sensors are widely utilized in smartphones, drones, vehicles, and wearable devices,
playing a crucial role in enabling ubiquitous and reliable localization. Inertial sensor-based …

Device-free occupancy detection and crowd counting in smart buildings with WiFi-enabled IoT

H Zou, Y Zhou, J Yang, CJ Spanos - Energy and Buildings, 2018 - Elsevier
Precise occupancy information is extremely valuable for energy savings and optimization in
the built environment. Building management systems (BMSs) can automatically turn off the …

Device-free occupant activity sensing using WiFi-enabled IoT devices for smart homes

J Yang, H Zou, H Jiang, L Xie - IEEE Internet of Things Journal, 2018 - ieeexplore.ieee.org
Intelligent occupancy sensing is becoming a vital underpinning for various emerging
applications in smart homes, such as security surveillance and human behavior analysis …

WinLight: A WiFi-based occupancy-driven lighting control system for smart building

H Zou, Y Zhou, H Jiang, SC Chien, L Xie… - Energy and Buildings, 2018 - Elsevier
Artificial lighting accounts for a significant proportion (19%) of energy consumption in
building environments. This large contribution calls for the creation of energy-efficient …

Towards occupant activity driven smart buildings via WiFi-enabled IoT devices and deep learning

H Zou, Y Zhou, J Yang, CJ Spanos - Energy and Buildings, 2018 - Elsevier
With the unprecedented advancement of Internet of Things (IoT), automatic occupant activity
recognition is becoming realizable for a myriad of emerging applications in smart buildings …

Adversarial learning-enabled automatic WiFi indoor radio map construction and adaptation with mobile robot

H Zou, CL Chen, M Li, J Yang, Y Zhou… - IEEE Internet of …, 2020 - ieeexplore.ieee.org
Location-based service (LBS) has become an indispensable part of our daily lives.
Realizing accurate LBS in indoor environments is still a challenging task. WiFi fingerprinting …

An online radio map update scheme for WiFi fingerprint-based localization

B Huang, Z Xu, B Jia, G Mao - IEEE Internet of Things Journal, 2019 - ieeexplore.ieee.org
Fingerprint-based localization relies on an accurate and up-to-date radio map, which is
however cumbersome to obtain. In this paper, a novel scheme is proposed to online adapt …

A novel walking detection and step counting algorithm using unconstrained smartphones

X Kang, B Huang, G Qi - Sensors, 2018 - mdpi.com
Recently, with the development of artificial intelligence technologies and the popularity of
mobile devices, walking detection and step counting have gained much attention since they …

Deepsense: Device-free human activity recognition via autoencoder long-term recurrent convolutional network

H Zou, Y Zhou, J Yang, H Jiang, L Xie… - 2018 IEEE …, 2018 - ieeexplore.ieee.org
In the era of Internet of Things (IoT), human activity recognition is becoming the vital
underpinning for a myriad of emerging applications in smart home and smart buildings …