Intelligent System to Analyze Data About Powered Wheelchair Drivers
| Autor: | Nils Bausch, Alexander Gegov, David Sanders, Martin Langner, Khaled Giasin, Peter Omoarebun, Mohamad Thabet, Malik Haddad |
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| Rok vydání: | 2020 |
| Předmět: | |
| Zdroj: | Advances in Intelligent Systems and Computing ISBN: 9783030551896 IntelliSys (3) |
| DOI: | 10.1007/978-3-030-55190-2_43 |
| Popis: | 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. |
| Databáze: | OpenAIRE |
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