Lim, Fang Quan and Mohd Noh, Zarina and Mohd Yatim, Norhidayah (2024) Personalized glove as user interface for disabled person monitoring system using ESP32. In: 2024 IEEE 14th Symposium on Computer Applications & Industrial Electronics (ISCAIE), 24 May 2024 through 25 May 2024, Penang, Malaysia.
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Personalized Glove as User Interface for Disabled Person Monitoring System Using ESP32.pdf Restricted to Registered users only Download (405kB) |
Abstract
This paper shares the development of a disabled person monitoring system by a personalized glove using ESP32 board. The disabled person need was monitored through the personalized glove that was fixed with flex sensors for each finger; where for each hand gesture detected by the system, the respective output will be displayed on the LCD and by the speaker that plays the related command. The hand gesture was detected based on the flex sensors resistance value produced depending on the finger's bending movement. The developed system had been tested and resulted in 90% accuracy for the hand gesture recognition through the threshold set for the system. Later if the system is to be used for a specific user, the threshold value for each finger's flex sensor can be adjusted accordingly to increase the accuracy of the personalized glove monitoring system. The work shared in this paper shows that a disabled person needs can be conveyed through a glove fixed with flex sensors as the disabled person user interface, eliminating the need of the person to reach for specific button or devices to signal their alerts.
| Item Type: | Conference or Workshop Item (Paper) |
|---|---|
| Uncontrolled Keywords: | Resistance, Sign language, Flexible printed circuits, Accuracy, Sensor phenomena and characterization, User interfaces, Real-time systems, Disabled person monitoring system, Hand gestures, Sensor-based glove |
| Divisions: | Faculty Of Electronics And Computer Technology And Engineering |
| Depositing User: | NUR FARISAH JAFRIN |
| Date Deposited: | 21 Jul 2026 07:20 |
| Last Modified: | 21 Jul 2026 07:20 |
| URI: | http://eprints.utem.edu.my/id/eprint/29823 |
| Statistic Details: | View Download Statistic |
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