Pose-invariant inertial odometry for pedestrian localization

Y Wang, H Cheng, C Wang… - IEEE Transactions on …, 2021 - ieeexplore.ieee.org
Inertial sensors in smartphones enable the relative state measurements for pedestrian
localization without global positioning system (GPS) signals or beacons. Any such …

TNTC: Two-stream network with transformer-based complementarity for gait-based emotion recognition

C Hu, W Sheng, B Dong, X Li - ICASSP 2022-2022 IEEE …, 2022 - ieeexplore.ieee.org
Recognizing the human emotion automatically from visual characteristics plays a vital role in
many intelligent applications. Recently, gait-based emotion recognition, especially gait …

[HTML][HTML] A holistic approach to health and safety monitoring: Framework and technology perspective

S Hayward, K van Lopik, A West - Internet of Things, 2022 - Elsevier
Existing H&S monitoring methods are manual, cumbersome, time consuming and issues
with safety compliance and use of PPE remain a concern. With the existing manual H&S …

Gnss-5g hybrid positioning based on joint estimation of multiple signals in a highly dependable spatio-temporal network

J Liu, Z Deng, E Hu, Y Huang, X Deng, Z Zhang… - Remote Sensing, 2023 - mdpi.com
The Global Navigation Satellite System (GNSS) has been widely used in every area of our
daily life to provide accurate Positioning, Navigation, and Timing (PNT) services. However …

Gait identification using limb joint movement and deep machine learning

LK Topham, W Khan, D Al-Jumeily, A Waraich… - IEEE …, 2022 - ieeexplore.ieee.org
Person identification is a key problem in the security domain and may be used to
automatically identify criminals or missing persons. The traditional face matching …

The improved method for indoor 3D pedestrian positioning based on dual foot-mounted IMU system

H Jia, B Yu, H Li, S Pan, J Li, X Wang, L Huang - Micromachines, 2023 - mdpi.com
Micro-Electro-Mechanical System (MEMS) inertial sensors, characterized by their small size,
low cost, and low power consumption, are commonly used in foot-mounted wearable …

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 …

An improved attitude estimation algorithm for suppressing magnetic vector disturbance based on extended Kalman filter

Y Zong, S Su, Y Gao, L Zhang - Measurement Science and …, 2024 - iopscience.iop.org
This paper proposes an improved attitude estimation algorithm based on the extended
Kalman filter (EKF), and it is applied to suppress the accuracy reduction in attitude …

[HTML][HTML] A time-varying Kalman filter for low-acceleration attitude estimation

ÁD Díaz, JAA Nacimiento, J Cardenal, FL Peña - Measurement, 2023 - Elsevier
This work shows an attitude estimator (AE) based on a time-varying Kalman filter (TVKF) and
adapted to those cases where a low-acceleration assumption can be applied. This filter is an …

Accurate stride-length estimation based on LT-StrideNet for pedestrian dead reckoning using a shank-mounted sensor

Y Li, G Zeng, L Wang, K Tan - Micromachines, 2023 - mdpi.com
Pedestrian dead reckoning (PDR) is a self-contained positioning technology and has been a
significant research topic in recent years. Pedestrian-stride-length estimation is the core part …