Motivation¶
Goal¶
Export motion capture data to BIDS format.
BIDS (Brain Imaging Data Structure) is a standardized format for organizing scientific data. The BIDS motion extension provides a consistent structure for motion capture datasets.
Example¶
from motionbids import MotionData, Channel, export_bids_motion
import numpy as np
# Your motion data (1200 timepoints, 30 channels)
data = np.random.randn(1200, 30)
# Create BIDS motion object
motion = MotionData(
subject_id="01",
task_name="walk",
tracksys="optical",
sampling_frequency=120.0,
tracked_points_count=10,
manufacturer="Vicon",
data=data,
channels=[
Channel(channel_name=f"marker{i}_{axis}", channel_component=axis, channel_type="POS",
channel_tracked_point=f"marker{i}", channel_units="mm")
for i in range(10) for axis in ['x', 'y', 'z']
]
)
# Export to BIDS format
export_bids_motion(motion, out_dir="bids_dataset/")
Output:
bids_dataset/
└── sub-01_task-walk_tracksys-optical_motion.json # Metadata
sub-01_task-walk_tracksys-optical_motion.tsv # Time series
sub-01_task-walk_tracksys-optical_channels.tsv # Channel info
What It Does¶
✅ Generates correct BIDS filenames
✅ Validates required metadata
✅ Creates JSON/TSV/channels files
✅ Ensures schema compliance
Ready to start? See the Workflow Guide.