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SUMMARY:WalkEar: Estimating ground reaction forces and gait parameters fro
 m commodity ear-worn wearables - Jake Stuchbury- Wass\, PhD student\, Dept
  of Computer Science and Technology\, University of Cambridge
DTSTART:20250523T150000Z
DTEND:20250523T160000Z
UID:TALK229954@talks.cam.ac.uk
CONTACT:46601
DESCRIPTION:Gait is a key health metric\, sometimes described as the sixth
  vital sign. Temporal\, spatial and kinetic gait parameters are valuable i
 n enhancing sport performance and early health diagnostics of health condi
 tions such as Parkinson’s disease. Full gait assessment requires a gait 
 clinic and existing wearable gait tracking systems typically measure isola
 ted subsets of parameters tailored to specific applications. This is usefu
 l when the condition to be monitored is known but fails to offer a compreh
 ensive view of an individual's gait traits when their pathology is unknown
  or changing\, or a general assessment is required. To support holistic wa
 lking gait tracking\, we introduce WalkEar a sensing platform designed to 
 simultaneously track a set of walking gait parameters using commodity ear-
 worn wearables. WalkEar operates by detecting gait events using them to de
 rive temporal gait parameters and segment the IMU data. We then use regres
 sion techniques to predict kinetic gait parameters and estimate the full v
 ertical reaction force. Each parameter is calculated on a step-to-step bas
 is to enable assessment of gait variability and asymmetry. We developed an
  earbud prototype and collected data from 30 subjects using gold standard 
 force plates and instrumented treadmill ground truth. Experiments show str
 ong agreement between our system and the ground truth showing the promise 
 of using ubiquitous earbuds for continuous gait monitoring.\n\n 
LOCATION:JDB Seminar Room\, CUED
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