Category

Redefining Movement Assessment Through Data and Video Feedback

Written by
VueMotion
Published on
November 18, 2024
Instructions
If you intend to use this component with Finsweet's Table of Contents attributes follow these steps:
  1. Remove the current class from the content27_link item as Webflows native current state will automatically be applied.
  2. To add interactions which automatically expand and collapse sections in the table of contents select the content27_h-trigger element, add an element trigger and select Mouse click (tap)
  3. For the 1st click select the custom animation Content 27 table of contents [Expand] and for the 2nd click select the custom animation Content 27 table of contents [Collapse].
  4. In the Trigger Settings, deselect all checkboxes other than Desktop and above. This disables the interaction on tablet and below to prevent bugs when scrolling.

Movement assessment is crucial for understanding human motion and is widely used by coaches, practitioners, athletes, and patients. This process helps identify areas for improvement, monitor progress, and ensure the safety and effectiveness of physical activities.

However, traditional methods often rely on tools that, while functional, sometimes lack the objective, data-driven insights modern practices increasingly demand.

"In most practices, movement assessment relies on observation, which isn't objective data" shares physiotherapist, Dr. Jo Brown. "It's based on the skill and clinical reasoning of the practitioner, which can vary." 

Techniques such as visual observation and manual tools like goniometers involve a level of subjectivity and depend heavily on a practitioner's expertise. While these approaches offer valuable insights, limitations arise when assessments vary due to the practitioner's experience, tool quality, or unconscious biases. This reliance on subjective observation introduces variability, affecting the consistency and accuracy of assessments across different practitioners and sessions.

With advancements in AI and computer vision, tools like VueMotion now address these limitations by offering objective, accurate, and reproducible data.

The combination of motion-tracking with video analysis allows practitioners to obtain a precise and consistent understanding of movement. Through this technology, they can rely on data rather than subjective judgment, gaining a clearer and more accurate picture of movement.

VueMotion integrates data and video analysis, enhancing the ability to track, compare, and understand movement patterns. As Dr. Brown notes, this shift towards technology not only fosters objectivity but also raises the level of care practitioners can provide.

One standout feature is the real-time feedback capability. Instant data allows practitioners to assess movement before and after training or interventions, making it possible to observe changes immediately.

Dr. Brown explains, "With this tool, you could assess before and after each intervention and objectively see if there's improvement."

This immediate feedback enables on-the-spot adjustments during sessions, maximizing the effectiveness of each exercise or treatment. For athletes and clients, seeing results in real-time also boosts motivation and commitment to their training or rehabilitation plans.

Video feedback plays a vital role in movement assessment, enhancing understanding and learning. Dr. Brown explains, "We know that when we see ourselves moving, it boosts our learning by as much as 80%." Unlike static images, video allows clients and athletes to visualize their movement patterns dynamically, helping them understand and improve their technique.

Practitioners also benefit from video feedback, which provides a clearer view of movement patterns that might otherwise go unnoticed.

This next-generation approach to movement assessment exemplifies the future, where technology, data, and visual feedback converge to enhance both understanding and outcomes.