A review of the hand gesture recognition system: Current progress and future directions
This paper reviewed the sign language research in the vision-based hand gesture
recognition system from 2014 to 2020. Its objective is to identify the progress and what …
recognition system from 2014 to 2020. Its objective is to identify the progress and what …
Classification of histopathology images of lung cancer using convolutional neural network (CNN)
N Baranwal, P Doravari… - Disruptive Developments in …, 2022 - taylorfrancis.com
Cancer is the uncontrollable cell division of abnormal cells inside the human body, which
can spread to other body organs. It is a non-communicable diseases (NCDs), which account …
can spread to other body organs. It is a non-communicable diseases (NCDs), which account …
Novel algorithm for hand gesture recognition utilizing a wrist-worn inertial sensor
YT Liu, YA Zhang, M Zeng - IEEE Sensors Journal, 2018 - ieeexplore.ieee.org
In this paper, we propose a dynamic time warping (DTW)-based template matching method
with a novel template generation algorithm for hand gesture recognition utilizing a wrist …
with a novel template generation algorithm for hand gesture recognition utilizing a wrist …
[PDF][PDF] A hybrid gesture recognition method for American sign language
BP Kumar, MB Manjunatha - Indian Journal of Science and …, 2017 - researchgate.net
Gesture based communication is a method of correspondence between the ordinary and
hard of hearing people in which the vision based procedure is utilized. This paper proposes …
hard of hearing people in which the vision based procedure is utilized. This paper proposes …
Improved Mispronunciation detection system using a hybrid CTC-ATT based approach for L2 English speakers
N Baranwal, S Chilaka - arXiv preprint arXiv:2201.10198, 2022 - arxiv.org
This report proposes state-of-the-art research in the field of Computer Assisted Language
Learning (CALL). Mispronunciation detection is one of the core components of Computer …
Learning (CALL). Mispronunciation detection is one of the core components of Computer …
An HCI paradigm fusing flexible object selection and AOM-based animation
Z Feng, B Yang, H Liu, N Lv, X Yang, J Yin, Y Zhang… - Information …, 2016 - Elsevier
The use of three-dimensional (3D) gesture input devices is important and necessary in 3D
systems, but such devices face considerable challenges posed by the high dimensionality of …
systems, but such devices face considerable challenges posed by the high dimensionality of …
Literature on Hand GESTURE Recognition using Graph based methods
N Baranwal, V Sharma - arXiv preprint arXiv:2207.00329, 2022 - arxiv.org
Skeleton based recognition systems are gaining popularity and machine learning models
focusing on points or joints in a skeleton have proved to be computationally effective and …
focusing on points or joints in a skeleton have proved to be computationally effective and …
[PDF][PDF] Classificaçao de Sons Pulmonares com Técnica de Few-Shot Learning
RA dos Santos, DA Fortunato, DD Ferreira… - sbic.org.br
A pandemia em decorrência da COVID-19 evidenciou para a humanidade a gravidade que
uma doença pulmonar pode ter e a consequência se a mesma nao for diagnosticada e …
uma doença pulmonar pode ter e a consequência se a mesma nao for diagnosticada e …
On human robot interaction using multiple modes
N Baranwal - arXiv preprint arXiv:1811.07206, 2018 - arxiv.org
Humanoid robots have apparently similar body structure like human beings. Due to their
technical design, they are sharing the same workspace with humans. They are placed to …
technical design, they are sharing the same workspace with humans. They are placed to …
[PDF][PDF] HAND GESTURE RECOGNITION
S Badagan, R Deeksha, KTS Teja, J Chetan - ijeast.com
Continuous and dynamic gesture recognition is a vital research area that aims to develop
systems capable of interpreting and understanding hand gestures involving continuous …
systems capable of interpreting and understanding hand gestures involving continuous …