Improvement of human pose estimation and processing with the intensive feature consistency network

MH Sheu, SMS Morsalin, CC Hsu, SC Lai… - IEEE …, 2023 - ieeexplore.ieee.org
The modeling of human body kye-points is the most significant aspect of pose estimation
appropriately. Computer vision algorithm identifies human pose, body-movement, and …

Bioinspired Photoreceptors with Neural Network for Recognition and Classification of Sign Language Gesture

C Urrea, J Kern, R Navarrete - Sensors, 2023 - mdpi.com
This work addresses the design and implementation of a novel PhotoBiological Filter
Classifier (PhBFC) to improve the accuracy of a static sign language translation system. The …

Deep Combination of Radar with Optical Data for Gesture Recognition: Role of Attention in Fusion Architectures

P Towakel, D Windridge… - IEEE Transactions on …, 2023 - ieeexplore.ieee.org
Multimodal time-series classification is an important aspect of human gesture recognition, in
which limitations of individual sensors can be overcome by combining data from multiple …

Human Action Recognition (HAR) using Image Processing on Deep Learning

AP Ismail, MAB Azahar, NM Tahir… - 2023 IEEE 13th …, 2023 - ieeexplore.ieee.org
The advancement of artificial intelligence (AI) has bought many advances to human society
as a whole. By using daily activities and integrating the technology from the fruits of AI, we …

Advances in Social Robotics: A Brief Review of Recent Contributions and Innovations

CST Romulo, LP Boscatti, WSCR Faria… - 2023 Latin American …, 2023 - ieeexplore.ieee.org
This paper presents a review in the field of social robotics over the past five years. With
robots becoming increasingly integrated as task assistants, it is imperative to gain a …

Sign Language Gesture Recognition from Spatio-temporal Features

RS Rajput, A Purushothaman, RS Jeena, CM Manu - 2022 - researchsquare.com
Sign Language is the primary mode of communication for the hearing impaired community
and between the community and the outside world. This paper proposes a vision-based sign …