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 ...
此外,a_u还被馈送到下一个解码步骤u+1,从而公式5改写为:y_u, h_u = Decoder(g_{u−1}, h_{u−1}, a_{u−1})。 Sign Language Translation Dataset.手语翻译数据集。 正如第2节所讨论的,目前没有适合支持SLT研究的合适数据集。由于标注的成本,现有的语言学数据集对于深度学习来说太小了。 ...
Furthermore, we fuse these features and train a SVM classifier for recognition. We conduct some experiments on large vocabulary sign language dataset with up to 500 words and the results demonstrate the effectiveness of our proposed method.
AUTSL: A Large Scale Multi-modal Turkish Sign Language Dataset and Baseline Methods 来自 Semantic Scholar 喜欢 0 阅读量: 238 作者:OM Sincan,HY Keles 摘要: Sign language recognition is a challenging problem where signs are identified by simultaneous local and global articulations of multiple sources...
in the whole sign language behavior, which strengthens the category differences, and compensates the global network. Experiments on two well-known Chinese sign language datasets (SLR_Dataset and DEVSIGN_D) show that the proposed method can obtain higher recognition accuracy (respectively 89.2%, 91%...
在这篇文章中,作者介绍了一种无需手语单词注释(gloss)的手语翻译(Sign Language Translation,SLT)方法:GFSLT-VLP。 在SLT任务出现之前,人们对于手语相关任务的探索多聚焦于手语识别(Sign Language Recognition,SLR),可以识别出手语视频中一系列手势对应的单词含义,但这种识别结果并不涉及手语本身具备的语言规则,所以健听...
In this work, we investigate the feasibility of using skeletal and RGB video data for sign language recognition using a combination of different deep learning architectures. We validate our results on a large-scale American Sign Language (ASL) dataset of 12 users and 13107 samples across 51 ...
Sign language recognition targets on interpreting and understanding the sign language for convenience of communication between the deaf and the normal people, which has broad social impact. The problem is challenging due to the large variations for diffe
This chapter covers several research works on sign language recognition (SLR), including isolated word recognition and continuous sentence translation. To solve isolated SLR, an Adaptive-HMM (hidden Markov model) framework (Guo et al., TOMCCAP 14(1):1–1
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]...