Skip to content

Ananaloto/Mobile_Health_Exercise

 
 

Repository files navigation

Mobile_Health_Exercise

[Lecture project provided by Prof. Christian Holz in the course "Mobile Health and Activity Monitoring, Spring 2023, ETH"]

  • Develop an algorithm to detect step count based on accelerometer data from a LilyGo smartwatch.
  • Data Collection and labelling with LilyGo for the Path Detection in Zurich.
  • Developed an algorithm using previously recorded datasets with wearable devices to predict four different aspects of the user's physical activity: activity type, path taken, step count, and smartwatch location on body.
  • Sensor Fusion

step_count_result

About

No description, website, or topics provided.

Resources

Stars

Watchers

Forks

Releases

No releases published

Packages

No packages published

Languages

  • Jupyter Notebook 100.0%