Sign language recognition through Leap Motion controller and input prediction algorithm
نویسندگان
چکیده
منابع مشابه
Sign Language Recognition using Leap Motion Controller
Making deaf people use an alternative method instead of current voice input to ICT equipment, we propose a sign language recognition method using Leap Motion Controller. As decisions using sign language, 16 kinds of decisions that focus on characteristic of hands and fingers are proposed. Sign language recognition algorithm is constructed using 16 kinds of decisions. The constructed flowchart i...
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In human interactions, hands are a powerful way of expressing information that, in some cases, can be used as a valid substitute for voice, as it happens in Sign Language. Hand gesture recognition has always been an interesting topic in the areas of computer vision and multimedia. These gestures can be represented as sets of feature vectors that change over time. Recurrent Neural Networks (RNNs...
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Sign acquisition was mainly done using camera or sensor. Due to the invention of some advance devices like Leap Motion Sensor and Kinect the researchers have experienced new horizon for making Sign Language Recognition system more accurate. In this paper, an analysis of different Neural Networks for three sign languages is presented. Many experiments are performed for measuring the performance ...
متن کاملImproving Automatic Sign Language Recognition through Sign Perceptual Knowledge
Studies in automatic sign language recognition (ASLR) have mainly focused on data-driven methods (see [1]). Little attention has been paid to the perception of sign language and how knowledge from this field can improve ASLR. In part, this is because the field of sign perceptual research itself is quite young, and knowledge is far from complete. However, recent studies ([2]) have yielded result...
متن کاملLeap Motion Controller for Authentication via Hand Geometry and Gestures
The Leap Motion controller is a consumer gesture sensor aimed to augment a user’s interactive experience with their computer. Using infrared sensors, it is able to collect data about the position and motions of a user’s hands. This data allows the Leap to be used as an authentication device. This study explores the possibility of performing both login as well as continuous authentication using ...
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ژورنال
عنوان ژورنال: Journal of Physics: Conference Series
سال: 2021
ISSN: 1742-6588,1742-6596
DOI: 10.1088/1742-6596/1715/1/012008