Wiki Documentation Site

User Tools

Site Tools

You are here: Main Page » visual3d » tutorials » events » Assessing Kinematic Methods of Structuring Gait
visual3d:tutorials:events:kinematic_event_detection

Differences

This shows you the differences between two versions of the page.

Link to this comparison view

Both sides previous revisionPrevious revision
visual3d:tutorials:events:kinematic_event_detection [2025/07/16 14:19] – [Sample Files] wikisysopvisual3d:tutorials:events:kinematic_event_detection [2025/07/16 16:29] (current) – wikisysop
Line 3: Line 3:
 ===== Overview ===== ===== Overview =====
  
-This tutorial is a comprehensive walkthrough of a research investigation presented at the Ontario Biomechanics Conference (OBC) 2025.  +This tutorial is a comprehensive walkthrough of a research investigation presented at the Ontario Biomechanics Conference (OBC) 2025. The study, titled "Assessing Different Kinematic Methods of Structuring Gait", explores how gait events can be reliably detected using only kinematic data, without access to lab-based kinetic systems such as force plates or instrumented treadmills. 
- +
-The study, titled "Assessing Different Kinematic Methods of Structuring Gait", explores how gait events can be reliably detected using only kinematic data, without access to lab-based kinetic systems such as force plates or instrumented treadmills.  +
  
 **Research Question: Are kinematic event detection methods able to reliably structure biomechanical waveforms in the gait cycle?** **Research Question: Are kinematic event detection methods able to reliably structure biomechanical waveforms in the gait cycle?**
Line 14: Line 11:
 ===== Introduction ====== ===== Introduction ======
  
-In gait analysis, the ability to structure biomechanical waveforms into gait cycles is needed for analyzing different kinematic signals and calculating various gait measures. +In gait analysis, the ability to structure biomechanical waveforms into gait cycles is needed for analyzing different kinematic signals and calculating various gait measures. Traditionally, gait cycles are structured using kinetic event detection methods based on force thresholds, which provide an objective and reliable signal for detecting ON (HS) and OFF(TO). However, kinetic data acquisition is not always available and with more in-field data collection it is not feasible.
- +
-Traditionally, gait cycles are structured using kinetic event detection methods based on force thresholds, which provide an objective and reliable signal for detecting ON (HS) and OFF(TO). However, kinetic data acquisition is not always available and with more in-field data collection it is not feasible.+
  
 Given these limitations, researchers have developed a range of kinematic event detection algorithms that rely on marker trajectories or derived joint kinematics to infer gait events. While these methods are promising, their accuracy and robustness - especially under varying walking speeds and among diverse populations- needs validation. Given these limitations, researchers have developed a range of kinematic event detection algorithms that rely on marker trajectories or derived joint kinematics to infer gait events. While these methods are promising, their accuracy and robustness - especially under varying walking speeds and among diverse populations- needs validation.
visual3d/tutorials/events/kinematic_event_detection.1752675552.txt.gz · Last modified: by wikisysop