International Journal of Innovative Research in Computer and Communication Engineering
ISSN Approved Journal | Impact factor: 8.771 | ESTD: 2013 | Follows UGC CARE Journal Norms and Guidelines
| Monthly, Peer-Reviewed, Refereed, Scholarly, Multidisciplinary and Open Access Journal | High Impact Factor 8.771 (Calculated by Google Scholar and Semantic Scholar | AI-Powered Research Tool | Indexing in all Major Database & Metadata, Citation Generator | Digital Object Identifier (DOI) |
| TITLE | Smart Glove for Gesture to Speech Translation |
|---|---|
| ABSTRACT | Communication between speech-impaired people and normal individuals is often difficult because sign language is not widely understood. The Smart Glove for Gesture to Speech Translation project is designed to solve this problem by converting hand gestures into audible speech. The system uses a glove embedded with flex sensors and motion sensors to detect finger and hand movements. These sensors capture the gestures made by user and send the data to a microcontroller. The microcontroller processes the gesture data and identifies the corresponding words or sentences. The recognized gesture is converted into speech using a text-to-speech module and played through a speaker. This system helps speech-impaired individuals communicate more easily and effectively with others. The proposed device is portable, easy to use, and can improve social interaction and independence for people with communicate disabilities |
| AUTHOR | YAMUNA S, IYYAPPAN E, MALARAVAN K, SATHISH K, SIBI AKASH C Assistant Professor, Department of ECE, Adithya Institute of Technology, Coimbatore, India Student, Department of ECE, Adithya Institute of Technology, Coimbatore, India |
| VOLUME | 183 |
| DOI | DOI: 10.15680/IJIRCCE.2026.1404056 |
| pdf/56_Smart Glove for Gesture to Speech Translation.pdf | |
| KEYWORDS | |
| References | [1] M. A. Ahmed, B. B. Zaidan, A. A. Zaidan, M. M. Salih, and M. M. bin Lakulu, "A review on systemsbased sensory gloves for sign language recognition: State of the art between 2007 and 2017," Sensors, vol. 18, no. 7, pp. 1-30, 2018. [2] K.-W. Kim, M.-S. Lee, B.-R. Soon, M.-H. Ryu, and J.-N. Kim, "Recognition of sign language with an inertial sensor-based data glove," Technol. Health Care, vol. 23, no. 6, pp. 821-829, 2015. [3] P. Lokhande, R. Prajapati, and S. Pansare, "Data gloves for sign language recognition system," in Proc. Natl. Conf. Emerging Trends in Advanced Communication Technologies (NCETACT), Pune, India, 2015. [4] T. Chouhan, A. Panse, A. K. Voona, and S. M. Sameer, "Smart Glove With Gesture Recognition Ability for the Hearing and Speech Impaired," in Proc. IEEE Global Humanitarian Technology Conference - South Asia Satellite (GHTC-SAS), Trivandrum, Dept of ECE [5] JC Nellis et al "Association among facial paralysis, depression, and quality of life in facial plastic surgery patients". In: JAMA facial plastic surgery 19. 3 (2017), pp. 190-196. [6] Stefania Konstantinidi et al "Real-time actuation of a dielectric elastomer actuator neuroprosthesis for facial paralysis". In: Smart Materials in Medicine (2023). [7] Cruz AAV Cunha BSA Procianoy F. "A quantitative analysis of the brow shape after frontalis muscle contraction". In: int Ophthalmol 43. 4 (Apr. 2023), pp. 1363-1367. doi: 10.1007/s10792-022-02534-9. [8] Thomas Payne et al. "Development of novel synthetic muscle tissues for sports impact surrogates". In: Journal of the mechanical behavior of biomedical materials 41 (Aug. 2014). doi: 10.1016/j.jmbbm.2014.08.011. [9] Stefania Konstantinidi et al "Soft Actuators for Facial Reanimation". In: Oct. 2022, pp. 11109-11114. doi: 10.1109/IROS47612.2022.9982089. [10] S. Sharma, S. P. Chaudhary, and V. R. Sharma, "A Smart Glove for Gesture Recognition System for Deaf and Dumb People," in Proc. IEEE 10th International Conference on Intelligent Systems and Control (ISCO), Coimbatore, India, 2016, pp. 1-6. doi: 10.1109/ISCO.2016.7726966 [11] Feng Wen, Zixuan Zhang, Tianyiyi He, & Chengkuo Lee AI enabled sign language recognition and VR space bidirectional communication using triboelectric smart glove — Nature Communications (2021). [12] H., R., Saisandeep, B., Murthy, G. N. K., Tiwari, K., & Datta, S. MEMS based Wearable Smart‑Glove and its Application of Gesture Detection and Sign Language Classification for Vocally Impaired — International Journal of Intelligent Systems and Applications in Engineering (2024). [13] Kanwal, T., Altaf, S., Yousaf, R. M., & Sattar, K. (2025). A Smart Glove‑Based System for Dynamic Sign Language Translation Using LSTM Networks. Engineering Proceedings, 118(1), 45. [14] M. S. Basha, P. Ramesh & K. S. Kumar (2019) Real-Time Monitoring System Using Arduino – International Journal of Innovative Technology and Exploring Engineering (IJITEE) |
