由于传统手语识别(sign language recognition)具有VISigns(视觉上难以辨认标志)的问题,作者提出了一个新颖的框架NLA-SLR去提高手语识别准确率,这个框架利用自然文本语言去介入到训练过程,以期望得到更高的手语识别效果。最后是得到了一个sota(state-of-the-art)的性能。 摘要 由于视觉上难以区分的手语标志VISigns(visual...
Unfortunately, very little to no work has been done for Pakistan Sign Language. Any contribution in Pakistan Sign Language recognition is limited to static images instead of gestures. Furthermore, the dataset available for this language is very small in terms of the number of examples per word ...
In this project, I built a system that can recognize words communicated using the American Sign Language (ASL). I was provided a preprocessed dataset of tracked hand and nose positions extracted from video. My goal was to train a set of Hidden Markov Models (HMMs) using part of this datase...
Sign language forms a communication channel among the deaf; however, automated gesture recognition could further expand their communication with the hearers. In this work, data from five-channel surface electromyogram and 3-D accelerometer from the signer's dominant hand were analyzed using intrinsic-...
To validate the powerfulness of DNN, we compare the performance of DNN and support vector machine (SVM) on the same dataset. 展开 关键词: Sign language recognition Real-Sense deep neural network 会议名称: IEEE China Summit & International Conference on Signal & Information Processing ...
computer-visiondatasetalphabetskeras-tensorflowindian-sign-languagesing-language UpdatedJan 26, 2022 Python This project is aimed at detecting and recognizing Indian Sign Language (ISL) gestures in real-time using the Mediapipe library and Artificial Neural Network. ...
android language opencv translator school tensorflow project dataset signs datasets lenguaje signlanguage proyecto escuela traductor tensorflow-lite signlanguagerecognition signlanguagedetection proyectoescolar Updated Jun 26, 2023 CSS Load more… Improve this page Add a description, image, and links to th...
Multilayer architecture in sign language recognition system Up to now analytical or statistical methods have been used in sign language recognition with large vocabulary. Analytical methods such as Dynamic Time Wrap... J Feng,H Yao,G Yao - ACM 被引量: 13发表: 2004年 A Threshold-based HMM-DTW...
In sign language recognition (SLR), the major challenges now are developing methods that solve signer-independent continuous sign problems. In this paper, SOFM/HMM is first presented for modeling signer-independent isolated signs. The proposed method uses the self-organizing feature maps (SOFM) as ...
participant_id - A unique identifier for the data contributor. sequence_id - A unique identifier for the landmark sequence. sign - The label for the landmark sequence. Input (56.43 GB) folder Data Sources arrow_right Google - Isolated Sign Language Recognition [Private Dataset]...