Bridging the Communication Gap: A Flexible Sensor-Based Smart Glove for the Speech-Impaired with Custom Phrase Functionality
Main Article Content
Abstract
In daily life, we frequently encounter individuals with restricted verbal communication abilities, commonly referred to as having a speech impairment. They utilize hand and finger gestures known as ASL (American Sign Language) to communicate with others, including those with speech difficulties and individuals without such challenges. Nevertheless, numerous ordinary individuals lack comprehension of this mode of communication. In this technological era, the author has developed a smart hand glove translator capable of converting speech-impaired hand motions into comprehensible sounds. The primary elements of this design are the Arduino Uno as the central data processing unit, complemented by a flex sensor and a gyroscope sensor to capture hand movements. Subsequently, employing an LCD and speaker as output devices, along with a micro SD reader to access a pre-existing database, facilitates user interaction in daily activities. The ultimate outcome of this design is an intelligent glove equipped with 50 databases, accessible to users through the selection of required phrases.
Manuscript received: 31 Aug 2025 | Revised: 16 Sep 2025 | Accepted: 2 Mar 2026 | Published: 31 Mar 2026
Article Details

This work is licensed under a Creative Commons Attribution-NonCommercial-NoDerivatives 4.0 International License.
References
Republik Indonesia, “Undang-Undang Republik Indonesia Nomor 19 Tahun 2011 tentang Pengesahan Convention on the Rights of Persons with Disabilities (Konvensi Mengenai Hak-Hak Penyandang Disabilitas),” Lembaran Negara Republik Indonesia Tahun 2011, 2011.
URL: https://peraturan.bpk.go.id/Details/39255
(Accessed: 10 Aug2025).
Badan Pusat Statistik, “Badan Pusat Statistik,” Kabupaten Bekasi, 2021.
URL: https://bekasikab.bps.go.id/statictable/2021/06/18/1717/banyaknya-desa-menurut-keberadaan-penyandang-cacat-di-kabupaten-kota-provinsi-jawa-barat-bukan-tepi-laut-2011.html. (Accessed: 10 May 2023).
N.A. Elgeme, R.M. Marimi, and Z.A. Rezkallah, "Smart Speaking Glove with One Hand for Deaf and Dumb," University of Zawia Journal of Engineering Sciences and Technology, vol. 2, no. 1, pp. 32-43, 2024.
DOI: https://doi.org/10.26629/uzjest.2024.04
T. Primya, G. Kanagaraj, K. Muthulakshmi, J. Chitra and A. Gowthami, "WITHDRAWN: Gesture recognition smart glove for speech impaired people," Materials Today: Proceedings, 2021.
DOI: https://doi.org/10.1016/j.matpr.2020.12.872
M.S. Amin, M.T. Amin, M.Y. Latif, A.A. Jathol, N. Ahmed and M.I.N. Tarar, "Alphabetical Gesture Recognition of American Sign Language using E-Voice Smart Glove," 2020 IEEE 23rd International Multitopic Conference (INMIC), pp. 1-6, 2020.
DOI: https://doi.org/10.1109/INMIC50486.2020.9318185
K. Mehrotra, A. Saxena, K. Kashyap, H. Kaur dan A. Tandon, “Augmentative And Alternative Communication Using Smart Glove,” International Journal of Computer Engineering & Science, vol. 5, no. 3, pp. 41-50, 2017.
A.R. Manikanavar and S.B. Shirol, "Gesture Controlled Assistive Device for Deaf, Dumb and Blind People Using Raspberry-Pi," 2022 International Conference on Smart Technologies and Systems for Next Generation Computing (ICSTSN), pp. 1-5, 2022.
DOI: https://doi.org/10.1109/ICSTSN53084.2022.9761314
J. W. Guido, Learn American Sign Language: Everything You Need to Start Signing, America: Wellfleet Press, 2015.
J.P. Morford, A.B. Grieve-Smith, J. MacFarlane, J. Staley and G. Waters, "Effects of language experience on the perception of American Sign Language," Cognition, vol. 109, no. 1, pp. 41-53, 2008.
DOI: https://doi.org/10.1016/j.cognition.2008.07.016
B. Thangavel, C. Venugopal, S. Immanuel, J.E. Raja and W.C. Chua, "Design and Development of an Arduino Based Automated Solar Grass Trimmer," International Journal on Robotics, Automation and Sciences, vol. 6, no. 1, pp. 46-58, 2024.
DOI: https://doi.org/10.33093/ijoras.2024.6.1.7
N.F. Ramirez, M.K. Leonard, T.S. Davenport, C. Torres, E. Halgren and R.I. Mayberry, "Neural Language Processing in Adolescent First-Language Learners: Longitudinal Case Studies in American Sign Language," Cerebral Cortex, vol. 26, no. 3, pp. 1015-1026, 2016.
DOI: https://doi.org/10.1093/cercor/bhu273
Arduino®, “Arduino UNO R3 Datasheet,” Arduino®, [Online]. Available: https://docs.arduino.cc/static/700803716be07809c3085150866f3933/A000066-datasheet.pdf.
M.A.U. Khalid and S.H. Chang, "Flexible strain sensors for wearable applications fabricated using novel functional nanocomposites: A review," Composite Structures, vol. 284, pp. 115214, 2022.
DOI: https://doi.org/10.1016/j.compstruct.2022.115214
Y. Yin, C. Guo, H. Li, H. Yang, F. Xiong and D. Chen, "The Progress of Research into Flexible Sensors in the Field of Smart Wearables," Sensors, vol. 22, no. 14, pp. 5089, 2022.
DOI: https://doi.org/10.3390/s22145089
A.A.M. Faudzi, Y. Sabzehmeidani, and K. Suzumori, "Application of Micro-Electro-Mechanical Systems (MEMS) as Sensors: A Review," Journal of Robotics and Mechatronics, vol. 32, no. 2, pp. 281-288, 2020.
DOI: https://doi.org/10.20965/jrm.2020.p0281
C. Li, B. Yang, X. Guo and X. Chen, "Design, Analysis and Simulation of a MEMS-Based Gyroscope with Differential Tunneling Magnetoresistance Sensing Structure," Sensors, vol. 20, no. 17, pp. 4919, 2020.
DOI: https://doi.org/10.3390/s20174919
J. Chattopadhyay, T.S. Pathak and D.M.F. Santos, "Applications of Polymer Electrolytes in Lithium-Ion Batteries: A Review," Polymers, vol. 15, no. 19, pp. 3907, 2023.
DOI: https://doi.org/10.3390/polym15193907
J. Li, Y. Cai, H. Wu, Z. Yu, X. Yan, Q. Zhang, T.Z. Gao, K. Liu, X. Jia and Z. Bao, "Polymers in Lithium Ion and Lithium Metal Batteries," Advanced Energy Materials, vol. 11, no. 15, 2021.
DOI: https://doi.org/10.1002/aenm.202003239
W.H. Watkins, "Prologue," Loudspeaker Physics and Forced Vibration, pp. 1-3, 2022.
DOI: https://doi.org/10.1007/978-3-030-91634-3_1
H. Kressel and T.V. Lento, "Principles of LCD displays," Competing for the Future, pp. 374-376, 2007.