Quality of information in mobile crowdsensing: Survey and research challenges
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 …
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 …
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
Precise occupancy information is extremely valuable for energy savings and optimization in
the built environment. Building management systems (BMSs) can automatically turn off the …
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
Intelligent occupancy sensing is becoming a vital underpinning for various emerging
applications in smart homes, such as security surveillance and human behavior analysis …
applications in smart homes, such as security surveillance and human behavior analysis …
WinLight: A WiFi-based occupancy-driven lighting control system for smart building
Artificial lighting accounts for a significant proportion (19%) of energy consumption in
building environments. This large contribution calls for the creation of energy-efficient …
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
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 …
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
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 …
Realizing accurate LBS in indoor environments is still a challenging task. WiFi fingerprinting …
An online radio map update scheme for WiFi fingerprint-based localization
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 …
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 …
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
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 …
underpinning for a myriad of emerging applications in smart home and smart buildings …