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Automated hand gesture recognition has been a focus of the AI community for decades. Traditionally, work in this domain revolved largely around scenarios assuming the availability of the flow of images of the user hands. This has partly…

机器学习 · 计算机科学 2023-05-15 Ying Liu , Liucheng Guo , Valeri A. Makarov , Yuxiang Huang , Alexander Gorban , Evgeny Mirkes , Ivan Y. Tyukin

A head-mounted display (HMD) is a portable and interactive display device. With the development of 5G technology, it may become a general-purpose computing platform in the future. Human-computer interaction (HCI) technology for HMDs has…

人机交互 · 计算机科学 2019-10-17 W. X. Chen , X. Y. Cui , J. Zheng , J. M. Zhang , S. Chen , Y. D. Yao

Defining methods for the automatic understanding of gestures is of paramount importance in many application contexts and in Virtual Reality applications for creating more natural and easy-to-use human-computer interaction methods. In this…

计算机视觉与模式识别 · 计算机科学 2020-09-03 Katia Lupinetti , Andrea Ranieri , Franca Giannini , Marina Monti

Automated hand gesture recognition has long been a focal point in the AI community. Traditionally, research in this field has predominantly focused on scenarios with access to a continuous flow of hand's images. This focus has been driven…

信号处理 · 电气工程与系统科学 2024-03-26 Ying Liu , Liucheng Guo , Valeri A. Makarovc , Alexander Gorbana , Evgeny Mirkesa , Ivan Y. Tyukin

Many vision based applications have used fingertips to track or manipulate gestures in their applications. Gesture identification is a natural way to pass the signals to the machine, as the human express its feelings most of the time with…

计算机视觉与模式识别 · 计算机科学 2012-12-04 J. L. Raheja , Karen Das , Ankit Chaudhary

Considerable effort has been devoted to the automatic extraction of information about action of the face from image sequences. Within the context of human-computer interaction (HCI) we may distinguish systems that allow expression from…

人机交互 · 计算机科学 2020-10-06 Michael J. Lyons

Hand gestures are a natural means of interaction in Augmented Reality and Virtual Reality (AR/VR) applications. Recently, there has been an increased focus on removing the dependence of accurate hand gesture recognition on complex sensor…

计算机视觉与模式识别 · 计算机科学 2019-12-09 Varun Jain , Shivam Aggarwal , Suril Mehta , Ramya Hebbalaguppe

The essential activities such as communication via email, surfing the world wide web, watching ones preferred Film or television series a large majority of people impaired by neurolocomotor disorders including those paralyzed by accident do…

人机交互 · 计算机科学 2023-10-11 Pritish Urumkar , Ashwini Gade

During speech, people spontaneously gesticulate, which plays a key role in conveying information. Similarly, realistic co-speech gestures are crucial to enable natural and smooth interactions with social agents. Current end-to-end co-speech…

Embodied conversational agents (ECAs) benefit from non-verbal behavior for natural and efficient interaction with users. Gesticulation - hand and arm movements accompanying speech - is an essential part of non-verbal behavior. Gesture…

人机交互 · 计算机科学 2021-02-25 Rajmund Nagy , Taras Kucherenko , Birger Moell , André Pereira , Hedvig Kjellström , Ulysses Bernardet

Hand gesture recognition has become an important research area, driven by the growing demand for human-computer interaction in fields such as sign language recognition, virtual and augmented reality, and robotics. Despite the rapid growth…

计算机视觉与模式识别 · 计算机科学 2025-09-04 Manousos Linardakis , Iraklis Varlamis , Georgios Th. Papadopoulos

Smartphones with large screens provide users with increased display and interaction space but pose challenges in reaching certain areas with the thumb when using the device with one hand. To address this, we introduce GazeSwipe, a…

人机交互 · 计算机科学 2025-03-28 Zhuojiang Cai , Jingkai Hong , Zhimin Wang , Feng Lu

Through our respiratory system, many viruses and diseases frequently spread and pass from one person to another. Covid-19 served as an example of how crucial it is to track down and cut back on contacts to stop its spread. There is a clear…

计算机视觉与模式识别 · 计算机科学 2023-08-25 Mohamed R. Ibrahim , Terry Lyons

The use of hand gestures provides a natural alternative to cumbersome interface devices for Human-Computer Interaction (HCI) systems. As the technology advances and communication between humans and machines becomes more complex, HCI systems…

计算机视觉与模式识别 · 计算机科学 2019-09-02 Okan Köpüklü , Yao Rong , Gerhard Rigoll

In this paper, we introduce a tilting interface that controls direction based applications in ubiquitous environments. A tilt interface is useful for situations that require remote and quick interactions or that are executed in public…

人机交互 · 计算机科学 2019-08-14 Ayman Atia , Jiro Tanaka

New and more natural human-robot interfaces are of crucial interest to the evolution of robotics. This paper addresses continuous and real-time hand gesture spotting, i.e., gesture segmentation plus gesture recognition. Gesture patterns are…

机器人学 · 计算机科学 2016-11-15 Pedro Neto , Dário Pereira , Norberto Pires , Paulo Moreira

This article is about one feature which was partly introduced 30 years ago with the development of multi windows operating systems. It is about the movability of screen objects not according to some predetermined algorithm but by the direct…

人机交互 · 计算机科学 2015-02-17 Sergey Andreyev

We present a tele-immersive system that enables people to interact with each other in a virtual world using body gestures in addition to verbal communication. Beyond the obvious applications, including general online conversations and…

计算机视觉与模式识别 · 计算机科学 2016-11-17 Xinzhong Lu , Ju Shen , Saverio Perugini , Jianjun Yang

Selecting out-of-reach objects is a fundamental task in mixed reality (MR). Existing methods rely on a single cue or deterministically fuse multiple cues, leading to performance degradation when the dominant cue becomes unreliable. In this…

人机交互 · 计算机科学 2026-04-27 Xuejing Luo , Hee-Seung Moon , Christian Holz , Antti Oulasvirta

We present an on-device real-time hand gesture recognition (HGR) system, which detects a set of predefined static gestures from a single RGB camera. The system consists of two parts: a hand skeleton tracker and a gesture classifier. We use…