Wednesday 4/28/21 Track II, 5:30 PM EDT
| CLIENT: |
| Dr. Vaskar Raychoudhury, CSE |
| VISION: |
| The purpose of our project is to build an accessible routing and navigation system for wheelchair users to get to their destination from any source location. We determine accessible routes by classifying surfaces from vibration data. In existing mapping systems, the developers rarely consider the experience of the persons with disabilities in most cases. In order to solve this problem and improve the user experience of wheelchair users, we proposed our MyPath solution. |
| MISSION: |
| We analyzed various factors that affect wheelchair navigation and divided them into three dimensions: user, wheelchair, and environment. This project is research oriented. The frontend and backend works are divided across two Capstone groups – the APP development group, and the machine learning group. The machine learning team is responsible for analyzing and classifying the data collected by the APP group and then using the ML model to predict any new surface data available during the testing phase of the system. The road surface information is then updated in a research–oriented open-source mapping system known as the OpenStreetMap (OSM) which is a major contribution of our work. Finally, we will combine the user’s personalized requirements and the accessibility of each road to generate an accessible route for wheelchair users through use of Graphhopper API which is a dedicated routing engine for the OSM. |
| TEAM MEMBERS: |
| Yi Zeng, Bingfan Tian, Tingzhao Wang, Changhao Li, Haoduan Jiang |