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Papers by Abhishek Upmanyu

International Journal for Research in Applied Science and Engineering Technology, 2022

The procedure through a user can make gestures to provide or deliver information is called Recogn... more The procedure through a user can make gestures to provide or deliver information is called Recognizing gestures. In daily life our physical gestures have proved to be an incredible tool of communication. An entire set of physical gesture man contribute to a whole language like that of the sign language. The have the ability to smoothly dispatch information, facts, emotions and feelings. Rightly so a combination of physical behaviour and emotional expression. Broadly speaking, hand gesture can be broken down into two categories: static gestures and dynamic gestures. For the initial type, the gesture the hand makes denotes a sign. For the type that follows which is dynamic gestures, there is a sequence of actions that takes shape of gestures, taking place which communicates certain message. Recognizing gestures can predict the intent of the user via a model without human interference. Recent times has seen tremendous amount of work done on designing, building, and upgrading existing Neural Network model into a different form of structure which carries the original purpose of classification but does so with even more promising accuracy and precision. The EfficientNet Model is one that has recently resurfaced. A model constructed by scaling the parameters of an existing Convolutional Neural Network. In this research, we suggest employing an EfficientNet Convolutional Neural Network to identify static hand motions. The process would involve extracting static hand gestures, converting them to gray scale to lessen the computational cost. Segregating the dataset obtained into training, testing, and validating datasets. Later in the upcoming Major Project, a CNN will be built with EfficientNet, and K-fold cross validation will be used for training and testing. We will later in the upcoming Major Project, compare our findings to earlier research and work done on the architecture of Neural Networks.

International Journal for Research in Applied Science and Engineering Technology, 2022

International Journal for Research in Applied Science and Engineering Technology, 2022

The procedure through a user can make gestures to provide or deliver information is called Recogn... more The procedure through a user can make gestures to provide or deliver information is called Recognizing gestures. In daily life our physical gestures have proved to be an incredible tool of communication. An entire set of physical gesture man contribute to a whole language like that of the sign language. The have the ability to smoothly dispatch information, facts, emotions and feelings. Rightly so a combination of physical behaviour and emotional expression. Broadly speaking, hand gesture can be broken down into two categories: static gestures and dynamic gestures. For the initial type, the gesture the hand makes denotes a sign. For the type that follows which is dynamic gestures, there is a sequence of actions that takes shape of gestures, taking place which communicates certain message. Recognizing gestures can predict the intent of the user via a model without human interference. Recent times has seen tremendous amount of work done on designing, building, and upgrading existing Neural Network model into a different form of structure which carries the original purpose of classification but does so with even more promising accuracy and precision. The EfficientNet Model is one that has recently resurfaced. A model constructed by scaling the parameters of an existing Convolutional Neural Network. In this research, we suggest employing an EfficientNet Convolutional Neural Network to identify static hand motions. The process would involve extracting static hand gestures, converting them to gray scale to lessen the computational cost. Segregating the dataset obtained into training, testing, and validating datasets. Later in the upcoming Major Project, a CNN will be built with EfficientNet, and K-fold cross validation will be used for training and testing. We will later in the upcoming Major Project, compare our findings to earlier research and work done on the architecture of Neural Networks.

International Journal for Research in Applied Science and Engineering Technology, 2022