Shelly-Ginelle Sicat

Data Scientist & Software Engineer
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Published Work

Wearable Technology for Ride Safety Evaluation

Developing a set of wearables to record g-force exerted on a ride participant exposed to 8 degrees of freedom

Status:

Published

Categories:

Development, Data Analysis, Research

Technology:

Python, Jupyter Notebook

Links:
TEAM:
  • Alex Ferworn Supervisor, Computer Science
  • Kathryn Woodcock Supervisor, Human Factors & Themed Entertainment Specialist
  • In association with N-CART Labs, Thrill Labs Ryerson University

Overview

Overview

  • Designed and developed a wearable architecture catered for ride safety evaluation - analyzing g-force, acceleration, and impact of a ride participant.
  • Conducted research on existing/similar solutions, sensor systems and industry standards on human-factors, safety and ergonomics (ASTM and TSSA).
  • Iteratively developed low-fidelity mockups into wearable prototypes considering sensor displacement, enhancing comfort, and ensuring technical sustainability in high-impact environments.
  • Collected 40 runs on a Zip Line, cleaned and reformatted the data set based on industry requirements to analyze the rider’s movement, g-force and speed. Created data visualization models to assess results with stakeholders.
  • TSSA Graduate Research Scholarship Recipient 2018.

Publications

  • Themed Experience and Attractions (TEA) Academic Symposium 2018. Orlando 2018.
  • International Occupational Ergonomics and Safety (ISOES) Conference 2018. Pittsburgh 2018.

Solution

Results

Learnings

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