The human face of ambient intelligence

SE Bibri - Atlantis ambient and pervasive intelligence, 2015 - Springer
I have written this book to help you to explore ambient intelligence (AmI) in all its complexity,
intricacy, variety, and breadth, the many faces of a topical subject that encompasses so …

Trajectory modeling in gesture recognition using CyberGloves/sup/spl reg//and magnetic trackers

NYY Kevin, S Ranganath… - 2004 IEEE Region 10 …, 2004 - ieeexplore.ieee.org
The recognition of human gestures is important for several human-computer interaction
applications. In this paper, we develop a gesture recognition system that uses the …

[HTML][HTML] Towards real-time and rotation-invariant American Sign Language alphabet recognition using a range camera

H Lahamy, DD Lichti - Sensors, 2012 - mdpi.com
The automatic interpretation of human gestures can be used for a natural interaction with
computers while getting rid of mechanical devices such as keyboards and mice. In order to …

[PDF][PDF] AmE framework: A model for emotion-aware ambient intelligence

J Zhou, C Yu, J Riekki, E Kärkkäinen - The Second International …, 2007 - di.uniba.it
The objective of this paper is to explore human emotional intelligence and to advance
research on emotion-aware technology by merging fundamental emotion theories, emotion …

Hand gesture segmentation based on improved kalman filter and TSL skin color model

S Mo, S Cheng, X Xing - 2011 International Conference on …, 2011 - ieeexplore.ieee.org
The first step about the hand gesture recognition is the gesture segmentation. Frequently-
used segmentation method is mainly about skin color segmentation based on color space …

A novel shape matching descriptor for real-time static hand gesture recognition

M Lazarou, B Li, T Stathaki - Computer Vision and Image Understanding, 2021 - Elsevier
The current state-of-the-art hand gesture recognition methodologies heavily rely in the use
of machine learning. However there are scenarios that machine learning cannot be applied …

A comparison of 2D and 3D convolutional neural networks for hand gesture recognition from RGB-D data

M Kurmanji, F Ghaderi - 2019 27th Iranian Conference on …, 2019 - ieeexplore.ieee.org
Hand gesture recognition from videos has more challenges compared with still images due
to the difficulty of representing temporal features and longer training times especially in real …

Comparison of hand segmentation methodologies for hand gesture recognition

LW Howe, F Wong, A Chekima - … International Symposium on …, 2008 - ieeexplore.ieee.org
The Hand gesture has provided significant means of communication in human daily
interaction and has been widely explored in the Human-Computer Interaction (HCI) studies …

Hand gesture recognition from RGB-D data using 2D and 3D convolutional neural networks: a comparative study

M Kurmanji, F Ghaderi - Journal of AI and Data Mining, 2020 - jad.shahroodut.ac.ir
Despite considerable enhances in recognizing hand gestures from still images, there are
still many challenges in the classification of hand gestures in videos. The latter comes with …

Vision-based detection of dynamic gesture

ZG Xu, H Zhu - 2009 International Conference on Test and …, 2009 - ieeexplore.ieee.org
The use of gesture as a natural and intuitional interface serves as a motivating force for
research in detection and interpretation of gestures. In particular, vision-based gesture …