Predicting and decreasing passenger discomfort on flights

Featured in iDP Project Showcase 2024

This project aims to predict and reduce discomfort experienced by passengers travelling on long-haul flights by implementing an innovative machine learning model and a smart pneumatic-based seat cushion.

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Project Team

Students:

  • Danial Asraf Bin Kamsari (Biomedical Engineering, Class of 2024)
  • Justin Bin Qi Shun (Mechanical Engineering, Class of 2024)
  • Miguel Lim (Chemical Engineering, Class of 2024)
  • Tan Li Cher (Mechanical Engineering, Class of 2024)
  • Wan Haocheng (Electrical Engineering, Class of 2024)

Supervisors: