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The literature-review database. Every paper Bob has reviewed (he has read many more), with a short summary, key findings, and tags. Browse, filter, search.

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  • Sign Transition Modeling and a Scalable Solution to Continuous Sign Language Recognition for Real-World Applications

    Kehuang Li, Zhengyu Zhou, Chin-Hui Lee · 2016 · ACM Transactions on Accessible Computing

    This paper presents a scalable framework for continuous sign language recognition (SLR) designed to work in real-world conditions using affordable hardware. The researchers address a fundamental challenge in SLR: modeling the transitions between signs. Unlike spoken language…

    sign language recognition · hidden Markov models · machine learning · deaf and hard of hearing · wearable technology

  • Isolated Sign Language Recognition with Grassmann Covariance Matrices

    Hanjie Wang, Xiujuan Chai, Xiaopeng Hong, Guoying Zhao, Xilin Chen · 2016 · ACM Transactions on Accessible Computing

    This paper proposes a novel method for isolated sign language recognition using Grassmann Covariance Matrices (GCM) to fuse multimodal features captured by Microsoft Kinect. With 360 million people worldwide affected by hearing loss—21 million in China alone—automatic sign…

    sign language recognition · Chinese sign language · computer vision · machine learning · deaf and hard of hearing

2 results.