Projects per year
The research presented in this paper creates an intelligent system that collects powered wheelchair users’ driving session data. The intelligent system is based on a Python programming platform. A program is created that will collect data for future analysis. The collected data considers driving session details, the ability of a driver to operate a wheelchair, and the type of input devices used to operate a powered wheelchair. Data is collected on a Raspberry Pi microcomputer and is sent after each session via email. Data is placed in the body of the emails, in an attached file and saved on microcomputer memory. Modifications to the system is made to meet confidentiality and privacy concerns of potential users. Data will be used for future analysis and will be considered as a training data set to teach an intelligent system to predict future path patterns for different wheelchair users. In addition, data will be used to analyze the ability of a user to drive a wheelchair, and monitor users’ development from one session to another, compare the progress of various users with similar disabilities and identify the most appropriate input device for each user and path.
|Title of host publication||Intelligent Systems and Applications|
|Subtitle of host publication||Proceedings of the 2020 Intelligent Systems Conference (IntelliSys) Volume 3|
|Editors||Kohei Arai, Supriya Kapoor, Rahul Bhatia|
|Publication status||Published - 25 Aug 2020|
|Event||Intelligent Systems Conference - London, United Kingdom|
Duration: 3 Sep 2020 → 4 Sep 2020
|Name||Advances in Intelligent Systems and Computing|
|Conference||Intelligent Systems Conference|
|Abbreviated title||IntelliSys 2020|
|Period||3/09/20 → 4/09/20|
FingerprintDive into the research topics of 'Intelligent system to analyze data about powered wheelchair drivers'. Together they form a unique fingerprint.
- 1 Active