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@@ -10,6 +14,44 @@ Each motion capture method has limitations, impacting the interpretability and t
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In this manuscript, we will briefly describe the main features of each modality and introduce a set of definitions that we will use throughout. We finally propose a scheme for unified sensor placement annotation with quantifiable levels of precision. We try to align this scheme with the currently available standards for data sharing and annotation, namely the **[Brain Imaging Data Structure (BIDS)](https://bids.neuroimaging.io/)** and the **[Hierarchical Event Descriptors (HED)](https://www.hedtags.org/)**. See [Motion-BIDS](https://bids-specification.readthedocs.io/en/stable/modality-specific-files/motion.html) and definition of body parts in [HED schema browser](https://www.hedtags.org/display_hed.html) for relevant details.
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<style>
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/* Style the button to appear as a box */
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.centered-button {
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display: flex;
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justify-content: center;
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align-items: center;
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height: 20vh; /* Vertically center */
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margin: 0; /* Remove default margin */
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}
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.button-box {
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background-color: #4CAF50; /* Replace with your desired color */
- X-position, Y-position, Z-position: The sensor's position along the X, Y, and Z axes, respectively, expressed as a ratio of the axis limits.
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- Precision: The precision level of sensor placement (e.g., Visual Inspection, Tape Measure, 3D Scanning).
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NOTE: This proopsal is still in discussion and we are open to feedback and suggestions. Importantly, we aim to establish a **HED partnered schemaw** to define (1) the anatomical landmarks, (2) axis limits, and (3) axis direction for each body part.
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NOTE: This proopsal is still in discussion and we are open to feedback and suggestions. Importantly, we aim to establish a **HED partnered schemaw** to define (1) the anatomical landmarks, (2) axis limits, and (3) axis direction for each body part.
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