Performance of Classifier for Gesture Recognition Using Machine Learning Techniques
Author:
Publisher
Springer Nature Singapore
Link
https://link.springer.com/content/pdf/10.1007/978-981-99-9554-7_12
Reference9 articles.
1. JR, Singh JJS, VP (2019) Development of MEMS sensor-based double handed gesture-to-speech conversion system. In: 2019 international conference on vision towards emerging trends in communication and networking (ViTECoN), pp 1–6. https://doi.org/10.1109/ViTECoN.2019.8899435
2. GGS, PN, Yaji A, AM, Dsilva AM, CSR (2021) Review on text and speech conversion techniques based on hand gesture. In: 2021 5th international conference on intelligent computing and control systems (ICICCS), pp 1682–1689. https://doi.org/10.1109/ICICCS51141.2021.9432277
3. Nagpal A, Singha K, Gouri R, Noor A, Bagwari A, Qamarma S (2020) Helping hand device for speech impaired people. In: 2020 global conference on wireless and optical technologies (GCWOT), pp 1–4. https://doi.org/10.1109/GCWOT49901.2020.9391599
4. Preetham C, Ramakrishnan G, Kumar S, Tamse A, Krishnapura N (2013) Hand talk-implementation of a gesture recognizing glove. In: 2013 Texas instruments India educators’ conference, pp 328–331. https://doi.org/10.1109/TIIEC.2013.65
5. Kunjumon J, Megalingam RK (2019) Hand gesture recognition system for translating Indian sign language into text and speech. In: 2019 international conference on smart systems and inventive technology (ICSSIT), pp 14–18. https://doi.org/10.1109/ICSSIT46314.2019.8987762
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