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Robotic gesture recognition [PDF]
, 1998 Robots of the future should communicate with humans in a natural way. We are especially interested in vision-based gesture interfaces. In the context of robotics several constraints exist, which make the task of gesture recognition particularly challenging.
Triesch, Jochen +1 more
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Lightweight Visual Dynamic Gesture Recognition System Based on CNN-LSTM-DSA [PDF]
SensorsAddressing the challenges of large-scale gesture recognition models, high computational complexity, and inefficient deployment on embedded devices, this study designs and implements a visual dynamic gesture recognition system based on a lightweight CNN ...
Zhenxing Wang +3 more
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A Structured and Methodological Review on Vision-Based Hand Gesture Recognition System
Journal of Imaging, 2022 Researchers have recently focused their attention on vision-based hand gesture recognition. However, due to several constraints, achieving an effective vision-driven hand gesture recognition system in real time has remained a challenge.
Fahmid Al Farid +7 more
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A Review of the Hand Gesture Recognition System: Current Progress and Future Directions
IEEE Access, 2021 This paper reviewed the sign language research in the vision-based hand gesture recognition system from 2014 to 2020. Its objective is to identify the progress and what needs more attention. We have extracted a total of 98 articles from well-known online
Noraini Mohamed +2 more
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Dynamic Gesture Recognition in the Internet of Things
IEEE Access, 2019 Gesture recognition based on computer vision has gradually become a hot research direction in the field of human-computer interaction. The field of human-computer interaction is an important direction in the Internet of Things (IoTs) technology.
Gongfa Li +4 more
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Approach for Improving User Interface Based on Gesture Recognition [PDF]
E3S Web of Conferences, 2021 Gesture recognition technology based on visual detection to acquire gestures information is obtained in a non-contact manner. There are two types of gesture recognition: independent and continuous gesture recognition.
Elmagrouni Issam +3 more
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CSI Cross-domain Gesture Recognition Method Based on 3D Convolutional Neural Network [PDF]
Jisuanji kexue, 2021 Gesture recognition has important application prospects in human-computer interaction.In recent years,with the rapid development of wireless communication and the Internet of Things,WiFi devices have been deployed almost anywhere,and a large number of ...
WANG Chi, CHANG Jun
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CoRR, 2021 The Human-Machine Interaction (HMI) research field is an important topic in machine learning that has been deeply investigated thanks to the rise of computing power in the last years. The first time, it is possible to use machine learning to classify images and/or videos instead of the traditional computer vision algorithms. The aim of this paper is to
Jonas Bokstaller, Costanza Maria Improta
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Dynamic Gesture Recognition System with Gesture Spotting Based on Self-Organizing Maps
Applied Sciences, 2021 In this paper, a real-time dynamic hand gesture recognition system with gesture spotting function is proposed. In the proposed system, input video frames are converted to feature vectors, and they are used to form a posture sequence vector that ...
Hiroomi Hikawa +3 more
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Sensors, 2023 Traditional human-computer interaction technology relies heavily on input devices such as mice and keyboards, which limit the speed and naturalness of interaction and can no longer meet the more advanced interaction needs of users.
Yajun Zhang +4 more
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