Uncovering hidden insights in the chair rise performance of older adults using Dynamic Time Warping and K-means clustering. [PDF]
Meyer O +4 more
europepmc +1 more source
Recent advances of non‐invasive sensors for smart wearable respiratory monitoring
Respiration contains rich physiological and pathological information, making it one of the most fundamental and continuous vital signs. Respiration monitoring is a non‐invasive and simple, but incredibly powerful, tool for assessing health, managing disease, and tracking fitness.
Jianhui Chen +8 more
wiley +1 more source
Identifying time patterns in Huntington's disease trajectories using dynamic time warping-based clustering on multi-modal data. [PDF]
Giannoula A +4 more
europepmc +1 more source
Strategies for synchronizing chocolate conching batch process data using dynamic time warping
Fernanda Araújo Pimentel Peres +3 more
openalex +2 more sources
Evaluating student involvement in sea‐level data rescue
Digitising historical tidal data are essential for tracking sea‐level rise and understanding long‐term climate trends. This study develops a framework to train undergraduate students in digitising tidal marigrams from Kilrush (County Clare) and Dún Laoghaire (County Dublin) Harbours. Students tackled challenges like misidentification, formatting errors
Patrick McLoughlin +3 more
wiley +1 more source
High-Knee-Flexion Posture Recognition Using Multi-Dimensional Dynamic Time Warping on Inertial Sensor Data. [PDF]
Laudanski AF +4 more
europepmc +1 more source
Feature-Strengthened Gesture Recognition Model based on Dynamic Time Warping
Hyuck Tae Kwon, Suk Kyoon Lee
openalex +2 more sources
Research on the influence factors of real driving cycle with statistical analysis and dynamic time warping [PDF]
Shu Yu, Lin Lü
openalex +1 more source
MVI‐Depth: Multi‐View Indoor Depth Estimation Based on the Fusion of Semantic Information
ABSTRACT Compared to monocular depth estimation, multi‐view depth estimation often yields more accurate results. However, traditional multi‐view depth estimation methods often fail to leverage semantic information fully and struggle to effectively fuse information from multiple views, leading to suboptimal prediction performance in challenging ...
Ying Zhu, Buyun Chen, Hong Liu, Xia Li
wiley +1 more source
Pattern matching under dynamic time warping for time series prediction
Nguyen Thanh Son
openalex +2 more sources

