Opening book details…
Can I read Sign Language Recognition System Using TensorFlow Object Detection API on EtoBox?
Sign Language Recognition System Using TensorFlow Object Detection API by Sharvani Srivastava; Amisha Gangwar; Richa Mishra; Sudhakar Singh is a book available to read on EtoBox.
What is Sign Language Recognition System Using TensorFlow Object Detection API about?
Communication is defined as the act of sharing or exchanging information, ideas or feelings. To establish communication between two people, both of them are required to have knowledge and understanding of a common language. But in the case of deaf and dumb people, the means of communication are different. Deaf is the inability to hear and dumb is the inability to speak. They communicate using sign language among themselves and with normal people but normal people do not take seriously the importance of sign language. Not everyone possesses the knowledge and understanding of sign language which makes communication difficult between a normal person and a deaf and dumb person. To overcome this barrier, one can build a model based on machine learning. A model can be trained to recognize different gestures of sign language and translate them into English. This will help a lot of people in communicating and conversing with deaf and dumb people. The existing Indian Sing Language Recognition systems are designed using machine learning algorithms with single and double-handed gestures but they are not real-time. In this paper, we propose a method to create an Indian Sign Language dataset us
- Author
- Sharvani Srivastava; Amisha Gangwar; Richa Mishra; Sudhakar Singh
- Publisher
- Springer International Publishing : Imprint: Springer
- Published
- 2022
- Language
- EN
- ISBN
- 9783030960391
- Subjects
- Engineering, Stem
More by Sharvani Srivastava; Amisha Gangwar; Richa Mishra; Sudhakar Singh
Browse all works by Sharvani Srivastava; Amisha Gangwar; Richa Mishra; Sudhakar Singh
Similar books
- Sign Language Detection Using Machine Learning — P. Ilanchezhian; I. Amit Kumar Singh; M. Balaji; A. Manoj Kumar; S. Muhamad Yaseen (2023)
- Image-Based Number Sign Recognition for Ethiopian Sign Language Using Support Vector Machine — Ayodeji Olalekan Salau; Nigus Kefyalew Tamiru; Deepak Arun (2022)
- Real-Time Indian Sign Language Detection — Rakhi Bharadwaj; Sandeep Shinde; Shubham Ghaytadkar; Pratham Ghule; Parag Godbole; Mohit Govindwar (2023)
- A Review Paper on Sign Language Recognition Using Machine Learning Techniques — Ritesh Kumar Jain; S. K. Rathi (2021)
- Real-Time Lightweight Bangla Sign Language Recognition Model Using Pre-trained MobileNetV2 and Conditional DCGAN — Abdullah Al Rafi; Rakibul Hassan; Md. Rabiul Islam; Md. Nahiduzzaman (2023)
- Gesture Recognition for American Sign Language Using Pytorch and Convolutional Neural Network — Devashsih Sethia; Pallavi Singh; B. Mohapatra (2023)