Tightly coupled integration of pedestrian dead reckoning and Bluetooth based on filter and optimizer

X Wang, Y Zhuang, Z Zhang, X Cao… - IEEE Internet of …, 2022 - ieeexplore.ieee.org
As a critical topic of Internet of Things applications, smartphone-based indoor navigation has
a rapidly growing need in various applications. However, indoor navigation technology is …

Charting everyday activities in later life: Study protocol of the mobility, activity, and social interactions study (MOASIS)

C Röcke, M Luo, P Bereuter, M Katana… - Frontiers in …, 2023 - frontiersin.org
Prominent theories of aging emphasize the importance of resource allocation processes as
a means to maintain functional ability, well-being and quality of life. Little is known about …

Walker: Continuous and precise navigation by fusing GNSS and MEMS in smartphone chipsets for pedestrians

F Zhu, X Tao, W Liu, X Shi, F Wang, X Zhang - Remote sensing, 2019 - mdpi.com
The continual miniaturization of mass-market sensors built in mobile intelligent terminals has
inspired the development of accurate and continuous navigation solution for portable …

Multi-sensor data fusion in a real-time support system for on-duty firefighters

VT Pham, QB Le, DA Nguyen, ND Dang, HT Huynh… - Sensors, 2019 - mdpi.com
While working on fire ground, firefighters risk their well-being in a state where any incident
might cause not only injuries, but also fatality. They may be incapacitated by unpredicted …

[HTML][HTML] Psychometric properties of the MOBITEC-GP mobile application for real-life mobility assessment in older adults

E Giannouli, EK Kim, C Fu, R Weibel, A Sofios… - Geriatric Nursing, 2022 - Elsevier
Aim of this study was to test the reliability and validity of the life-space measures and walking
speed delivered by the MOBITEC-GP app. Participants underwent several supervised …

A Step Length Estimation Model of Coefficient Self‐Determined Based on Peak‐Valley Detection

W Lu, F Wu, H Zhu, Y Zhang - Journal of Sensors, 2020 - Wiley Online Library
Without any preinstalled infrastructure, pedestrian dead reckoning (PDR) is a promising
indoor positioning technology for pedestrians carrying portable devices to navigate. Step …

Evaluation of smartphone and smartwatch accelerometer data in activity classification

NC Minh, TH Dao, DN Tran, NQ Huy… - … on Information and …, 2021 - ieeexplore.ieee.org
In recent years, the need to monitor health using sensors integrated on popular smart
devices is receiving attention. The development of the human activity classification (HAR) …

Robust and accurate step counting based on motion mode recognition for pedestrian indoor positioning using a smartphone

X Wang, G Chen, X Cao, Z Zhang… - IEEE Sensors …, 2021 - ieeexplore.ieee.org
Robust and accurate step counting plays an essential role in some fields, such as indoor
positing, behavior recognition, and health management. Currently, there are numerous …

OA-pain-sense: machine learning prediction of hip and knee osteoarthritis pain from IMU data

WS Almuhammadi, E Agu, J King, P Franklin - Informatics, 2022 - mdpi.com
Joint pain is a prominent symptom of Hip and Knee Osteoarthritis (OA), impairing patients'
movements and affecting the joint mechanics of walking. Self-report questionnaires are …

A multi-mode PDR perception and positioning system assisted by map matching and particle filtering

X Wang, G Chen, M Yang, S Jin - ISPRS International Journal of Geo …, 2020 - mdpi.com
Currently, pedestrian dead reckoning (PDR) is widely used in indoor positioning. Since
there are restrictions on a device's pose in the procedure of using a smartphone to perform …