Results 51 to 60 of about 7,605 (220)

Automatic pairing of inertial sensors to lower limb segments – a plug-and-play approach

Current Directions in Biomedical Engineering, 2016
Inertial sensor networks enable realtime gait analysis for a multitude of applications. The usability of inertial measurement units (IMUs), however, is limited by several restrictions, e.g. a fixed and known sensor placement.
Graurock David, Schauer Thomas, Seel Thomas   +2 more
doaj   +1 more source

A High‐Precision Dynamic Movement Recognition Algorithm Using Multimodal Biological Signals for Human–Machine Interaction

Advanced Intelligent Systems, Volume 7, Issue 3, March 2025.
This article describes a multimodal fusion data acquisition and processing system about electromyography for dynamic movement recognition and bioelectrical impedance for key posture recognition. In addition, a new dynamic–static fusion algorithm strategy is designed.
Chenhao Cao, Gang Ma, Zelin Chen, Yiming Ouyang, Hu Jin, Shiwu Zhang   +5 more
wiley   +1 more source

Prediction Performance of Low Error Rate Adaptive Fading Kalman Filter Due to Temperature Change

International Journal of Automotive Science and Technology
Global Navigation Satellite System (GNSS) is a system which provides very accurate positioning information. The performance of GNSS depends on several factors such as propagation, interference, denial of full service etc.
Eren Mehmet Akbaş, Murat Üçüncü
doaj   +1 more source

Optimized Multi-Position Calibration Method with Nonlinear Scale Factor for Inertial Measurement Units

Sensors, 2019
Navigation grade inertial measurement units (IMUs) should be calibrated after Inertial Navigation Systems (INSs) are assembled and be re-calibrated after certain periods of time. The multi-position calibration methods with advantage of not requiring high-
Zihui Wang, Xianghong Cheng, Jinbo Fu
doaj   +1 more source

Collaborative Visual Localization for Modular Self‐Reconfigurable Robots

Advanced Intelligent Systems, EarlyView.
Relative localization in modular self‐reconfigurable robots is challenged by hardware limitations, constrained fields of view, and sensor faults. This paper, based on the SnailBot platform, presents a vision‐based collaborative localization method that combines ArUco markers with learning‐based algorithms to enable robust pose estimation from ...
Guanqi Liang, Rong Ou, Peiqi Wang, Xianghong Wang, Tin Lun Lam   +4 more
wiley   +1 more source

Reconfigurable Design and Optimization‐Based Control of an Integrated Leg‐Arm Robot for Space Applications With an Underactuated Body

Advanced Intelligent Systems, EarlyView.
A quadrupedal integrated leg‐arm robot with an underactuated reconfigurable body is developed. By using a Sarrus mechanism as the body, the robot enables reconfiguration through its supporting limbs, achieving mode switching without additional actuators.
Xinghan Zhuang, Kun Xu, Shutao Wu, Haoyuan Liu, Bochao Song, Jiawei Chen, Peijin Zi, Tao Zhang, Xilun Ding   +8 more
wiley   +1 more source

Strengthening urban resilience in China through underground infrastructures management: Addressing global climate challenges with technological solutions

Deep Underground Science and Engineering, EarlyView.
This paper explores how climate‐resilient technologies, such as smart grids, digital twins, and self‐healing materials, can enhance urban resilience. It highlights the urgent need for proactive planning, public‐private collaboration, and data‐driven innovation to future‐proof underground infrastructure amid accelerating climate and urban pressures ...
Kai Chen Goh, Tonni Agustiono Kurniawan, Christia Meidiana, Abdelkader Anouzla, Faissal Aziz, Imran Ali, Joan Cecilia C. Casila, M. Imran Khan, Dongdong Zhang, Meihui Jiang, Mohd Hafiz Dzarfan Othman, Md Munir Hayet Khan, Kasun Kumara Dissanayake   +12 more
wiley   +1 more source

Inertial Measurement Unit- and Time Series Approach-Based Motion Trajectory Reconstruction of the Safety Rope Fastening Behaviour

Buildings
Monitoring workers’ safety compliance is critical to construction accident prevention. However, most of the previous research focuses on checking the entry of workers wearing safety belts and the monitoring of the fastening action of safety rope screw ...
Zixin Han, Yaowu Wang
doaj   +1 more source

Learning Rocking Dynamics From Sparse Shake‐Table Data With Interpretable Physics‐Informed Neural Networks

Earthquake Engineering &Structural Dynamics, EarlyView.
ABSTRACT We present a hybrid interpretable Physics‐Informed Neural Network Long‐Short Term Memory (Hybrid PINN LSTM) framework for predicting the seismic response of rocking blocks. Existing analytical models rely on uncertain idealizations, while purely data‐driven and machine‐learning approaches lack physical consistency and interpretability.
Shirley Shen, Christian Málaga‐Chuquitaype   +1 more
wiley   +1 more source

Similar locomotor patterns across Quarter Horse disciplines inform lameness assessment

Equine Veterinary Journal, EarlyView.
Abstract Background Lineage‐based selection is central to the Quarter Horse industry and is often justified by the assumption that morphology determines locomotor function. However, objective evidence linking static conformation to discipline‐specific locomotor behaviour under standardised conditions remains limited.
Renata Farinelli de Siqueira, Lavínia Andressa Brito, Isabela Marques de Figueiredo, Ana Clara Rocha dos Santos, Larissa Santos dos Anjos   +4 more
wiley   +1 more source