Real-time finger motion recognition using skin-conformable electronics

H Cho, I Lee, J Jang, JH Kim, H Lee, S Park… - Nature Electronics, 2023 - nature.com
Interpreting and tracking finger motion in free space is of use in the development of control
interfaces for augmented and virtual reality systems. One approach to create human …

Recognition of Arabic air-written letters: machine learning, convolutional neural networks, and optical character recognition (OCR) techniques

KMO Nahar, I Alsmadi, RE Al Mamlook, A Nasayreh… - Sensors, 2023 - mdpi.com
Air writing is one of the essential fields that the world is turning to, which can benefit from the
world of the metaverse, as well as the ease of communication between humans and …

A human-robot interaction system calculating visual focus of human's attention level

P Chakraborty, S Ahmed, MA Yousuf, A Azad… - IEEE …, 2021 - ieeexplore.ieee.org
Attention is the mental awareness of human on a particular object or a piece of information.
The level of attention indicates how intense the focus is on an object or an instance. In this …

Deep learning approaches for air-writing using single UWB radar

N Hendy, HM Fayek, A Al-Hourani - IEEE Sensors Journal, 2022 - ieeexplore.ieee.org
Air-writing is an emerging and promising method for contactless human-machine interaction.
This paper proposes a novel air-writing framework based on a single ultra wide-band radar …

Deep-learning-based character recognition from handwriting motion data captured using IMU and force sensors

TT Alemayoh, M Shintani, JH Lee, S Okamoto - Sensors, 2022 - mdpi.com
Digitizing handwriting is mostly performed using either image-based methods, such as
optical character recognition, or utilizing two or more devices, such as a special stylus and a …

A Wearable Real‐Time Character Recognition System Based on Edge Computing‐Enabled Deep Learning for Air‐Writing

H Zhang, L Chen, Y Zhang, R Hu, C He… - Journal of …, 2022 - Wiley Online Library
Nowadays, wearable sensors play a vital role in the detection of human motions, innovating
an alternate and intuitive form in human–computer interaction (HCI). In this study, we …

Joint classification and trajectory regression of online handwriting using a multi-task learning approach

F Ott, D Rügamer, L Heublein… - Proceedings of the …, 2022 - openaccess.thecvf.com
Abstract Multivariate Time Series (MTS) classification is important in various applications
such as signature verification, person identification, and motion recognition. In deep learning …

Implementation of a character recognition system based on finger-joint tracking using a depth camera

MS Alam, KC Kwon, N Kim - IEEE Transactions on Human …, 2021 - ieeexplore.ieee.org
The joint tracking-based writing system refers to writing characters by changing the position
of the finger joint. It is a new research field in interaction-based input systems. However, joint …

Double deep Q-learning and faster R-Cnn-based autonomous vehicle navigation and obstacle avoidance in dynamic environment

R Bin Issa, M Das, MS Rahman, M Barua, MK Rhaman… - Sensors, 2021 - mdpi.com
Autonomous vehicle navigation in an unknown dynamic environment is crucial for both
supervised-and Reinforcement Learning-based autonomous maneuvering. The cooperative …

Air-writing recognition based on deep convolutional neural networks

CH Hsieh, YS Lo, JY Chen, SK Tang - Ieee Access, 2021 - ieeexplore.ieee.org
Air-writing recognition has received wide attention due to its potential application in
intelligent systems. To date, some of the fundamental problems in isolated writing have not …