[HTML][HTML] Human activity classification using the 3DCNN architecture

R Vrskova, R Hudec, P Kamencay, P Sykora - Applied Sciences, 2022 - mdpi.com
Interest in utilizing neural networks in a variety of scientific and academic studies and in
industrial applications is increasing. In addition to the growing interest in neural networks …

[HTML][HTML] 人机智能技术及系统研究进展综述

程洪, 黄瑞, 邱静, 马文昊, 施柯丞, 李骏 - 智能系统学报, 2020 - html.rhhz.net
人机智能系统是能够实现人机智能协作的机器人系统, 近年来成为了机器人领域的研究热点,
具有广泛的应用前景. 针对人机智能系统技术和应用的国内外研究现状, 从人机智能系统的关键 …

Deep learning based processing framework for spatio-temporal analysis and classification of laser biospeckle data

PS Thakur, O Krejcar, V Bhatia, S Prakash - Optics & Laser Technology, 2024 - Elsevier
Laser biospeckle is an advanced optical technique with the ability to non-destructively
visualize various transient phenomenon via spatial and temporal statistics. However …

[PDF][PDF] Magic Mirror: I and My Avatar-A Versatile Augmented Reality Installation Controlled by Hand Gestures.

AK Seewald, A Pfeiffer - ICAART (3), 2022 - researchgate.net
Since 2012 we have been building the augmented reality system Magic Mirror based on
Kinect V1 and V2's native API. It relies on the magic mirror metaphor, where a large screen …

[PDF][PDF] Effect of CNN architectures on Mini-Batch Distribution Alignment and WiGRUNT for gesture recognition using Wi-Fi CSI data

N Meratnia - research.tue.nl
Thanks to the technological advancement of society, wireless devices have found more
implementations in the field of deep learning. Various efforts have been made towards the …

3d hand joints position estimation with graph convolutional networks: A graphhands baseline

JA Castro-Vargas, A Garcia-Garcia, S Oprea… - Robot 2019: Fourth …, 2020 - Springer
State-of-the-art deep learning-based models used to address hand challenges, eg 3D hand
joint estimation, need a vast amount of annotated data to achieve a good performance. The …