Results 151 to 160 of about 21,516 (246)
This study presents a soft pneumatic fabric bidirectional actuation module (PNEUMA) capable of generating high torque in both bending directions within a single integrated architecture. PNEUMA achieves up to 50 Nm with reduced inflation volume and a lightweight design.
Odysseas Simatos +2 more
wiley +1 more source
A Large Language Model-Guided IMU-PDR Method for Detection and Error Correction. [PDF]
Liang G, Wu H, Bai S, Tang H.
europepmc +1 more source
ABSTRACT This study aimed to develop a standardised individualised wheelchair sprinting protocol with increasing resistances to generate linear force–velocity and parabolic power–velocity profiles, applicable across wheelchair sports with various classification levels.
Thomas Rietveld +4 more
wiley +1 more source
IMU- and Vision-Based Measurement Techniques for Joint Kinematics: A Narrative Review. [PDF]
Ceriola L +4 more
europepmc +1 more source
There are problems of insufficient accuracy in capturing small motion trajectories and delay in real‐time motion state estimation in the training of track and field athletes. Based on the improved YOLOv8 framework, this paper introduces 3D convolution to construct a spatiotemporal feature pyramid (ST‐FPN) and embeds an optical flow‐guided cross‐frame ...
Yu Ao, Wu Guancheng, Chen Xi
wiley +1 more source
Lower Limb Motion Classification of Actions in Confined Environments Based on Multi-Source Signal Fusion and Muscle Symmetry Features. [PDF]
Li D +6 more
europepmc +1 more source
The paper consists of four parts. Specially, the first part analyzes the wind challenges of large‐span bridges, including the formation mechanism of wind‐induced vibration disaster of large‐span bridges and typical cases, as well as the limitations of the current wind design codes. The second part reviews the analysis models and experimental techniques
Sai Gong +4 more
wiley +1 more source
A Stand-Alone Wearable Measurement System for Continuous Hand Tremor Monitoring. [PDF]
Arruzzoli L +6 more
europepmc +1 more source
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 +1 more
wiley +1 more source
Proprioceptive Terrain Classification for Hexapod Robots with Statistical and Spectral Features. [PDF]
Korkmaz D +4 more
europepmc +1 more source

