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Gesture Recognition using Dynamic Time Warping

2020 IEEE 29th International Conference on Enabling Technologies: Infrastructure for Collaborative Enterprises (WETICE), 2020
This paper presents an approach to the recognition of human gestures in the context of the “Seamless” project. In the project, data collected by IoT sensors can be navigated through gesture recognition algorithms. The aim of recognizing human gestures in Seamless is to give commands through a wearable control device.
Mariagrazia Fugini   +2 more
openaire   +1 more source

Dynamic Hand Gesture Recognition Framework

2014
Sign languages originated long before any speech-based languages evolved in the world. They contain subtleties that rival any speech-based languages conveying a rich source of information much faster than any speechbased languages. Similar to the diversity of speech-based languages, sign languages vary from region to region.
Prashan Premaratne   +3 more
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Selective spatiotemporal features learning for dynamic gesture recognition

Expert Systems with Applications, 2021
Abstract Gesture recognition, which aims to understand meaningful movements of human bodies, plays an essential role in human–computer interaction. The key to gesture recognition is to learn compact and effective spatiotemporal information. However, it remains a challenging task due to the barriers of gesture-irrelevant factors.
Xianlun Tang   +5 more
openaire   +2 more sources

Directional Dynamic Time Warping for Gesture Recognition

Proceedings of the 2017 2nd International Conference on Multimedia Systems and Signal Processing, 2017
In this study, we propose a modified dynamic time warping (DTW) algorithm that compares the sequences based on the direction of the gesture's movement. When comparing the gesture sequences, the proposed algorithm compares the movement direction and calculates the difference by the Euclidean Distance, and therefore reflects the characteristics of the ...
Hyo-Rim Choi, TaeYong Kim 0003
openaire   +2 more sources

An Environment for the Specification and Recognition of Dynamic Gestures

Journal of Visual Languages & Computing, 1994
Abstract Novel 3-D input devices are taking the place of traditional 2-D input devices in current 3-D graphical user interfaces. Among them, hand-input devices seem intuitive and powerful for performing tasks in 3-D environments. They offer the possibility to interact by means of hand gestures, i.e.
openaire   +3 more sources

Learning dynamics for exemplar-based gesture recognition

2003 IEEE Computer Society Conference on Computer Vision and Pattern Recognition, 2003. Proceedings., 2003
This paper addresses the problem of capturing the dynamics for exemplar-based recognition systems. Traditional HMM provides a probabilistic tool to capture system dynamics and in exemplar paradigm, HMM states are typically coupled with the exemplars. Alternatively, we propose a non-parametric HMM approach that uses a discrete HMM with arbitrary states (
Ahmed M. Elgammal   +3 more
openaire   +1 more source

Dynamic Gesture Recognition for Social Robots

2017
Interpreting users messages, both verbal and non-verbal is essential to achieve a natural Human-Robot Interaction. Traditionally, Social Robots, and particularly Care Robots, rely on interfaces such as voice, touch or images to acquire information from users although the latter is usually used to locate them.
José Carlos Castillo 0001   +4 more
openaire   +1 more source

Dynamic gesture recognition based on CNN-LSTM-Attention

2021 IEEE International Conference on Signal Processing, Communications and Computing (ICSPCC), 2021
Compared with traditional human-computer interaction techniques, gesture recognition is closer to human expression habits and have some advantages of being efficient and easy to master. Vision-based gesture recognition does not require additional equipment, and is very convenient and relatively low cost.
Jinwei Liu   +3 more
openaire   +1 more source

Democratizing 3D dynamic gestures recognition

2013 1st IEEE Workshop on User-Centered Computer Vision (UCCV), 2013
Developing vision-based 3D gestures recognition systems requires strong expertise and knowledge in computer vision and machine learning techniques. As human-computer interaction researchers do not generally have a thorough knowledge of these techniques, we developed Gesta.
M. Caon   +4 more
openaire   +1 more source

The Effect of Static and Dynamic Gesture Presentation on the Recognition of Two Manipulation Gestures

2018
Gesture is an important means of nonverbal communication and used in conveying messages before the advent of language. With the development of computer technology, gesture interaction has become a trend of natural and harmonious human-computer interaction.
Wenyuan Yu, Ye Liu 0010, Xiaolan Fu
openaire   +2 more sources

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