Application of machine learning techniques for real-time sign language detection using wearable sensors-Reference-Cited by-同舟云学术

Application of machine learning techniques for real-time sign language detection using wearable sensors

Published:2020-05-27 Issue: Volume: Page:
ISSN:
Container-title:Proceedings of the 11th ACM Multimedia Systems Conference
language:
Short-container-title:

Author:

Saquib Nazmus¹,Rahman Ashikur²

Affiliation:

1. University of California

2. Bangladesh University of Engineering and Technology

Publisher

ACM

Link

https://dl.acm.org/doi/pdf/10.1145/3339825.3391869

Reference24 articles.

1. [n.d.]. Sign Language: Fingerspelling. Available online at http://www.lifeprint.com/asl101/pages-layout/fingerspelling.htm. Last accessed 6:32 pm 04/24/2017. [n.d.]. Sign Language: Fingerspelling. Available online at http://www.lifeprint.com/asl101/pages-layout/fingerspelling.htm. Last accessed 6:32 pm 04/24/2017.

2. [n.d.]. Sign Language Recognition using Data Gloves. Available online at https://saquib2527.github.io/slr.html#dataset. Last accessed 3:24 pm 12/19/2018. [n.d.]. Sign Language Recognition using Data Gloves. Available online at https://saquib2527.github.io/slr.html#dataset. Last accessed 3:24 pm 12/19/2018.

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