Implementation of an Electronic Wheelchair with a Google Map and a Smart Phone’s Speaker-Independent Recognition Engine
A voice commanded electronic wheelchair controller was implemented to be controlled remotely by voice commands, in which the Google speaker-independent voice recognition engine, the GPS guiding Google map, and the Bluetooth communication technology were used. The smart phone was programed to be used as a remote controller for seven voice commands: left, right, forward, backward, faster, slower, stop. Those commands were used with a word “command” to increase the recognition accuracy. Information of the location and the moved distance of the chair were shown on the google map. The command recognition time of the smart phone for each one of the seven commands was measured by changing of the number of several voice commands. The recognition time for each one of the seven commands were measured. The recognition time of a “forward” command on the phone was about 200 milliseconds. A wheelchair controlling module was built on the electric circuit board with an ATMEGA’s 328P-PU microcontroller. The system was tested by measuring the response time of all of the system in 9600 bps Bluetooth communication between the phone and the wheelchair control module. The combined time of both the voice recognition and the response between the smart phone and the wheel chair control module was about 650 milliseconds for the “forward” command. Although the Google voice recognition engine worked well, this experiment was performed in a quite environment road condition. Further research is required in improving the recognition error rate in a noisy road condition to avoid a dangerous accident by misunderstanding commands for emergency.
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Document Type: Research Article
Affiliations: Department of E-Commerce, Semyung University, Semyungro 65, Jecheon, Chungbuk, 27136, South Korea
Publication date: November 1, 2016
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