Deep Learning-Based Sign Language Translator
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Publisher
Springer Nature Singapore
Link
https://link.springer.com/content/pdf/10.1007/978-981-97-1724-8_12
Reference17 articles.
1. Mannan A, Abbasi A, Javed AR, Ahsan A, Gadekallu TR, Xin Q (2022) Hypertuned deep convolutional neural network for sign language recognition. Hindawi Comput Intell Neurosci 2022:1450822
2. Zheng J, Zhao Z, Chen M, Chen J, Wu C, Chen Y, Tong Y (2020) An improved sign language translation model with explainable adaptations for processing long sign sentences. Comput Intell Neurosci 2020(8816125):11
3. Efthimiou E et al (2009) Sign language recognition, generation, and modelling: a research effort with applications in deaf communication. In: Stephanidis C (eds) Universal access in human-computer interaction addressing diversity. UAHCI 2009. Lecture Notes in Computer Science, vol 5614. Springer, Berlin, Heidelberg
4. Ku YJ, Chen MJ, King CT (09 January 2020) A virtual sign language translator on smartphones. In: 2019 seventh international symposium on computing and networking workshops (CANDARW). IEEE Xplore, IEEE
5. Likhar P, Bhagat NK (2020) Deep Learning methods for Indian sign language recognition. In: 2020 IEEE 10th international conference on consumer electronics (ICCE-Berlin), Berlin, Germany, pp 1–6
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