Results 11 to 20 of about 4,397,311 (276)
Dynamic Hand Gesture Recognition Using Electrical Impedance Tomography
Sensors, 2022 Electrical impedance tomography (EIT) has been applied in the field of human-computer interaction due to its advantages including the fact that it is non-invasive and has both low power consumption and a low cost.
Xiuyan Li +6 more
doaj +3 more sources
Hand gesture recognition for multimedia applications [PDF]
, 2008 Hand gesture is potentially a very natural and useful modality for human-machine interaction. It is considered to be one of the most complicated and interesting challenges in computer vision due to its articulated structure and environmental variations.
Al-Rajab, Moaath
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A comparison of Arabic sign language dynamic gesture recognition models [PDF]
Heliyon, 2020 Miada Almasre
exaly +2 more sources
Three-dimensional dynamic gesture recognition method based on convolutional neural network
High-Confidence ComputingWith the rapid advancement of virtual reality, dynamic gesture recognition technology has become an indispensable and critical technique for users to achieve human–computer interaction in virtual environments.
Ji Xi +5 more
doaj +3 more sources
On recognition of gestures arIsing in flight deck officer (FDO) training [PDF]
, 2011 This thesis presents an on-line recognition machine RM for the continuous and isolated recognition of dynamic and static gestures that arise in Flight Deck Officer (FDO) training.
Turan, D
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Dynamic Hand Gesture Recognition Using the Skeleton of the Hand [PDF]
EURASIP Journal on Advances in Signal Processing, 2005 This paper discusses the use of the computer vision in the interpretation of human gestures. Hand gestures would be an intuitive and ideal way of exchanging information with other people in a virtual space, guiding some robots to perform certain tasks ...
Coquin Didier +3 more
doaj +4 more sources
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
openaire +3 more sources
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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MEMS Devices-Based Hand Gesture Recognition via Wearable Computing
Micromachines, 2023 Gesture recognition has found widespread applications in various fields, such as virtual reality, medical diagnosis, and robot interaction. The existing mainstream gesture-recognition methods are primarily divided into two categories: inertial-sensor ...
Huihui Wang +6 more
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IEEE Access, 2022 To solve the problem of the low recognition rate of continuous dynamic gestures in Chinese sign language, a non-invasive end-to-end continuous dynamic gesture recognition system combining Inertial Measurement Unit (IMU) signal and surface ...
Jinquan Li +3 more
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