Publications by authors named "Dmitry Ryumin"

Heart rate is an essential vital sign to evaluate human health. Remote heart monitoring using cheaply available devices has become a necessity in the twenty-first century to prevent any unfortunate situation caused by the hectic pace of life. In this paper, we propose a new method based on the transformer architecture with a multi-skip connection biLSTM decoder to estimate heart rate remotely from videos.

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Article Synopsis
  • Audio-visual speech recognition (AVSR) improves speech recognition accuracy by incorporating visual information, especially in noisy environments, while hand gestures enhance human-computer interactions.
  • The study introduces two deep neural network models for AVSR and gesture recognition, focusing on advanced fine-tuning strategies and three methods for merging audio and visual data.
  • Testing on the LRW and AUTSL datasets yielded outstanding results, achieving 98.76% accuracy for AVSR and 98.56% for gesture recognition, showcasing the effectiveness of the proposed methods for mobile device applications.
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