NUST Institutional Repository

Real time gesture recognition for sign language

Show simple item record

dc.contributor.author DR. Arsalan Shaukat, NS Zeeshan Khalid NS Arif Sultan PC Umar Riaz GC Nouman Mushtaq
dc.date.accessioned 2025-04-30T06:57:55Z
dc.date.available 2025-04-30T06:57:55Z
dc.date.issued 2016
dc.identifier.other DE-COMP-34
dc.identifier.uri http://10.250.8.41:8080/xmlui/handle/123456789/52750
dc.description T SUPERVISOR DR. Arsalan Shaukat en_US
dc.description.abstract More than 5% of the world's population - 360 million people - disability of hearing loss (328 million adults and 32 million children). Disabling hearing loss associated with the loss of more than 40 decibels (dB) at the best listening ear in adults and more than 30 dB at the best listening ear in children. Most people with a hearing loss live in low- and middle-income countries. About one third of people over the age of 65 suffer from hearing loss. The prevalence in this age group is the highest in South Asia, Asia-Pacific and Africa (sub- Saharan). These hearing impaired people use sign language as the way of communicating with others. Sign language is a way of using your hands to make certain shapes to represent the words and characters. There as many sign languages i.e. ASL (American Sign Language). American Sign Language (ASL) is a language itself. Although English andUrdu are spoken languages. ASL is a visual language.People communicate using hand shape, direction and movement of the arms, body language and facial expressions. ASL has its own grammar, word order and sentence structure. People can share their feelings, jokes, and full of ideas using ASL justlike using any another language. People can take lessons in ASL and start training your child, even while they are still studying it. A child can learn ASL as their first language. In addition, ASL specialists can work with families to help them learn ASL.Children can use many other skills with ASL. Finger spelling is used to spell words that do not have symptoms - such as names of people and places en_US
dc.language.iso en en_US
dc.publisher College of Electrical & Mechanical Engineering (CEME), NUST en_US
dc.title Real time gesture recognition for sign language en_US
dc.type Project Report en_US


Files in this item

This item appears in the following Collection(s)

  • BS [451]

Show simple item record

Search DSpace


Advanced Search

Browse

My Account