Data processing for multi-sensor synchronization.

i. Raw sensor data from 3 sensors is separated into daily sections, from 3:00 am of the current day to 2:59 am of the next day, ii. Angular velocity measurements are corrected by removing any systematic offset for each axis, iii. Orientation quaternions...

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Bibliographic Details
Main Author:	Kathylee Pinnock Branford (18291038) (author)
Other Authors:	Meegan G. Van Straaten (9617947) (author), Omid Jahanian (9617944) (author), Melissa M. B. Morrow (10692798) (author), Stephen M. Cain (10457933) (author)
Published:	2025
Subjects:	Medicine Neuroscience Biotechnology Sociology Environmental Sciences not elsewhere classified Biological Sciences not elsewhere classified spinal cord injuries participants moved 65 navigated slopes exceeding methodology provides insights based comprehensive analysis assistive technology development ada recommended ratio 81 &# 8201 7 consecutive days revealing nuanced patterns mobility predominantly occurred stops per day resolution mobility assessments sci </ p understand patterns resolution metrics mobility profile mobility metrics mobility characteristics mobility bouts xlink "> traveled 1488 movement duration movement behaviors min daily methods underscore inertial sensor including starts functional independence distance traveled daily movement daily life critical importance 428 starts 09 meters
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Data processing for multi-sensor synchronization.

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