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Smart glove
The document outlines a project on a 'smart glove' designed to translate sign language into text, aiming to facilitate communication for speech and hearing impaired individuals. The proposed system utilizes a glove equipped with sensors to interpret hand gestures, specifically the 16 letters of the English alphabet in Indian sign language. Advantages include low cost, small size, and real-time translation, while limitations are noted regarding range and the omission of facial expression recognition.
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Smart glove
- 1. By:- Sapna Patil SANDIP POLYTECHNIC,NASHIK DEPARTMENTOF COMPUTER ENGINEERING PROJECT PRESENTATION ON ‘Smart glove - for speech impaired’
- 2. INDEX Introduction Existingsystem Proposed system Scope of the project Data flow diagram materials Advantages Limitations Future work Conclusion
- 3. INTRODUCTION What is SignLanguage ?? Communicating language used primarily by deaf people. Uses different medium such as hands, face, or eyes rather than vocal tract or ears for communication purpose. Sign language is used by deaf & dumb people. Smart glove will be used to translate sign language into text. In sign language signs are used to communicate. Our system is aimed at maximum recognition of gesture without any training. This makes the system usable at public places where there is no room for long training sessions. Communication using sign language
- 4. REASON BEHIND MAKINGTHIS SOFTWARE..? There are similar types of gadget which already exist but there are various drawbacks in them. The glove which we are going to develop will translate sign language to facilitate conversation between speech and hearing impaired people and those are not conversant with sign language.
- 5. EXISTING SYSTEM ●Since beginningin 2003, the Microsoft Imagine Cup has tasked students the world over with developing technology aimed at solving real-world problems. ●Students were asked to build their project around a specific Millennium Development Goal (MDG). ●However, with sign language varying greatly around the world, the users can teach the system new gestures and modify existing ones.
- 6. PROPOSED SYSTEM Thesign language translator that we are going to developed uses a glove fitted with sensors that can interpret the 16 English letters in Indian Sign Language. The glove uses IR transmitter receiver, RF transmitter, Encoder Decoder IC three dimensions to gather data on each finger’s position and the hand’s motion to differentiate the letters.
- 7. SCOPE OF THEPROJECT Speechless people will be able to communicate with normal people. Speechless people will be able to communicate with Speechless people as well as deaf people. Safety is one of the highest priorities for this translator. The translator is carefully to not expose the user to any current from the circuit.
- 8. yes yes no Start Press contact switch ss Switch press..? Bit generated Inputto Arduino board Transmit content to UART port Sign to text conversion Play voice data speaker Methodology
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- 12. DATABASE OF ONEHANDED ALPHABETS AND NUMBERS OF SIGN LANGUAGE
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- 14. HARDWARE REQUIREMENT: 512MB RAM 40 GB Hard Disk IR transmitter receiver Encode Decoder IC Contact Switches LED Single Stand Wire Arduino Board SOFTWARE REQUIREMENT Visual Studio 2005 / 08 / 10 VB.net framework 2.0 & above Operating System: XP service 2 and above IMPLEMENTATION REQUIREMENTS : Monitor Glove EXTERNAL REQUIREMENTS : Battery
- 15. ADVANTAGES It requiresfewer components so its cost is low. Small in size: Due to small size we can place its hardware on our hand easily. Light weight. Flexible to users. Easy to operate: Anyone can operate it easily. Real time translation.
- 16. LIMITATION Range up to100m only. Facial expressions are not considered.
- 17. FUTURE WORK This projectdid not focus on facial expressions although it is well known that facial expressions convey important part of sign-languages. This system can be implemented in many application areas examples include accessing government websites whereby no video clip for deaf and mute is available or filling out forms online whereby no interpreter may be present to help.
- 18. CONCLUSION This technology couldmean a new way for about 70 million people with hearing and speech impairment to verbally communicate and connect to people around them. This project aims to lower the communication gap between the deaf or mute community and the normal world.
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