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Convert accelerometer data for gait analysis

We will use Gaitpy API in Python to read accelerometer data into gait metric. Accelerometer data can be obtained by wearing sensors that track your movement.

Gaitpy API is an open source python API that public available and can be installed on your local laptop, here are using links:

API installation link

Paper that explains how API work

GaitPy utilizes vertical acceleration data (y) from a wearable device located on the lower back (lumbar region) and returns following data metric:

  • stride duration
  • step duration
  • cadence
  • initial double support
  • terminal double support
  • double support
  • single limb support
  • stance
  • swing
  • step length
  • stride length
  • gait speed
  • Step asymmetry

In this project, we use a wearable sensor to read accelerometer data, and use API to populate gait metrics via Python.

Plot of Gait Analysis Outcome

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Convert accelerometer data for gait analysis

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