[HTML][HTML] Deep learning based air-writing recognition with the choice of proper interpolation technique

FA Abir, MA Siam, A Sayeed, MAM Hasan, J Shin - Sensors, 2021 - mdpi.com
The act of writing letters or words in free space with body movements is known as air-writing.
Air-writing recognition is a special case of gesture recognition in which gestures correspond …

Danceconv: Dance motion generation with convolutional networks

K Kritsis, A Gkiokas, A Pikrakis, V Katsouros - IEEE Access, 2022 - ieeexplore.ieee.org
Automatically synthesizing dance motion sequences is an increasingly popular research
task in the broader field of human motion analysis. Recent approaches have mostly used …

[PDF][PDF] A comprehensive overview of handwritten recognition techniques: a survey

S Ali, M Abdulrazzaq - J. Comput. Sci, 2023 - researchgate.net
Deep learning and deep neural networks, particularly Convolutional Neural Networks
(CNNs), are rapidly growing areas of machine learning and are currently the primary tools …

TARNet: An Efficient and Lightweight Trajectory‐Based Air‐Writing Recognition Model Using a CNN and LSTM Network

MS Alam, KC Kwon, S Md Imtiaz… - Human Behavior …, 2022 - Wiley Online Library
Air‐writing is a growing research topic in the field of gesture‐based writing systems. This
research proposes a unified, lightweight, and general‐purpose deep learning algorithm for a …

Writing in the air: Unconstrained text recognition from finger movement using spatio-temporal convolution

UH Kim, Y Hwang, SK Lee… - IEEE Transactions on …, 2022 - ieeexplore.ieee.org
In this article, we introduce a new benchmark dataset for the challenging writing in the air
(WiTA) task—an elaborate task bridging vision and natural language processing (NLP) …

[HTML][HTML] Benchmarking online sequence-to-sequence and character-based handwriting recognition from IMU-enhanced pens

F Ott, D Rügamer, L Heublein, T Hamann… - International Journal on …, 2022 - Springer
Handwriting is one of the most frequently occurring patterns in everyday life and with it
comes challenging applications such as handwriting recognition, writer identification and …

[HTML][HTML] 2D Camera-based air-writing recognition using hand pose estimation and hybrid deep learning model

T Watanabe, M Maniruzzaman, MAM Hasan, HS Lee… - Electronics, 2023 - mdpi.com
Air-writing is a modern human–computer interaction technology that allows participants to
write words or letters with finger or hand movements in free space in a simple and intuitive …

On-air hand-drawn doodles for IoT devices authentication during COVID-19

AR Elshenaway, SK Guirguis - IEEE Access, 2021 - ieeexplore.ieee.org
In this paper, a new natural human interaction authentication method is proposed for Internet
of Things (IoT) devices. In this method, the user draws a doodle on the air for authentication …

Auxiliary cross-modal representation learning with triplet loss functions for online handwriting recognition

F Ott, D Rügamer, L Heublein, B Bischl… - IEEE Access, 2023 - ieeexplore.ieee.org
Cross-modal representation learning learns a shared embedding between two or more
modalities to improve performance in a given task compared to using only one of the …

Air writing recognition application for dyslexic people

V Vaidya, T Pravanth, D Viji - 2022 International Mobile and …, 2022 - ieeexplore.ieee.org
The “Air writing recognition application for Dyslexic people” is a useful application which can
be used to teach how an alphabet, or a digit is drawn or sounds like to the dyslexic people …