Please use this identifier to cite or link to this item: https://publication.npru.ac.th/jspui/handle/123456789/1923
Title: Development of a Wheelchair Prototype System Powered by an Internet of Things Kit and Voice Control based on Natural Language Processing Concepts
Other Titles: การพัฒนาระบบต้นแบบรถเข็นผู้ป่วยที่ขับเคลื่อนด้วยชุดอุปกรณ์อินเทอร์เน็ตของสรรพสิ่ง และควบคุมสั่งการด้วยเสียงตามแนวคิดการประมวลผลภาษาธรรมชาติ
Authors: Apiwit Srisuk
Mukviboonchai, Suvimol
Sirisukpoca, Ubonrat
Simalaotao, Paisan
Keywords: Wheelchair
Natural Language
Internet of Things
Issue Date: 14-Jul-2023
Publisher: The 15th NPRU National Academic Conference Nakhon Pathom Rajabhat University
Series/Report no.: Proceedings of the 15th NPRU National Academic Conference;473
Abstract: The objectives of this research are: 1) develop the wheelchair prototype system powered by Internet of Things kit and voice control based on natural language processing concepts to facilitate and care of patients or disability persons, and 2) evaluate the performance of the proposed prototype. Research tools include the experimental tool and data collection tool. The experiment tool is the wheelchair prototype system powered by Internet of Things kit and voice control based on natural language processing concepts developed by C/C++, Java Script, HTML, CSS connected to MySQL database. Arduino IDE is used to control NodeMCU ESP8266, 4-port relay switch, batteries, rubber wheels, and electric motor. Data collection tool is a system efficiency assessment form. The project implemented according to 5 steps of software development life cycle concept: 1) problem and requirement analysis 2) system design, 3) system development, 4) system testing, and 5) evaluation by 5 experts selecting from purposive sampling. The result of the project development was found that 1) from the wheelchair prototype system powered by Internet of Things kit and voice control based on natural language processing concepts, users can successfully operate the prototype wheelchair to go and turn into the right direction via Google Assistant, and 2) the efficiency of the proposed system evaluated by five experts is in highest level ( ̅=4.65, S.D.=0.39).
URI: https://publication.npru.ac.th/jspui/handle/123456789/1923
ISBN: 978-974-7063-43-1
Appears in Collections:Proceedings of the 15th NPRU National Academic Conference

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