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Home > Gesture Recognition for Dynamic Signs for Urdu Language

Gesture Recognition for Dynamic Signs for Urdu Language

Thesis Info

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Author

Saqib, Shazia

Program

PhD

Institute

Government College University

City

Lahore

Province

Punjab

Country

Pakistan

Thesis Completing Year

2019

Thesis Completion Status

Completed

Subject

Computer Science

Language

English

Link

http://prr.hec.gov.pk/jspui/bitstream/123456789/10215/1/Shazia%20Saqib_CS_2019_GCU%28L%29_PRR.pdf

Added

2021-02-17 19:49:13

Modified

2024-03-24 20:25:49

ARI ID

1676727765511

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Sign language is the language of gestures. It is also a way of communication for the deaf community. Sign languages use visual pattern rather than verbal communication. Sign Language Recognition (SLR) is an active research area in computer science. It has its roots in the domain of gesture recognition, robotics, gesture-based user authentication, lie detection communication, entertainment, security, art, industry, and sports. Every region has its own sign language. Pakistani Sign Language (PSL) for Urdu language is a visual-gestural language that is being used for communication by the deaf community. This research presents a robust, reliable, systematic and consistent system for both static and dynamic gestures. The present research focuses on different available solutions for gesture recognition and concludes that deep learning and convolutional neural networks give a most appropriate solution. The thesis is based on the comparison of different potential sign descriptors. Use of correlation and cross-correlation to identify gestures has led the researcher to the fact that supervised learning techniques have given a convincing performance for PSL or even any other sign language. The research has proposed 3 major ideas, it starts with proposing universal sign language and use of spelling-based gestures over word-based gestures. The research also proposes a video summarization technique for sign languages based on mean and entropy. Moreover, there is no standard dataset available for PSL, so dataset for a subset of static and dynamic signs of PSL is developed for the thesis. The research gives upto 90% accuracy when the recognition routine uses deep learning based model. The dataset is kept as small as 400 images/videos per class. The research has proven that the accuracy can be improved by increasing dataset size, image size, and number of epochs.
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ڈاکٹر عبد الحمید عرفانی کی اقبال شناسی پر ایک نظر

ڈاکٹر عبدالحمید عرفانی کی اقبال شناسی پر ایک نظر

ڈاکٹر خواجہ عبدالحمید عرفانی اقبال شناسی میں اہم مقام و مرتبہ رکھتےہیں۔ ڈاکٹر عرفانی نے عالمی سطح پر اقبال شناسی کی روایت میں نام کمایا۔ اقبال کو ایران میں متعارف کرانے کا سہرا خواجہ عرفانی کے سر جاتا ہے۔ عرفانی صاحب کی ادبی خدمات بے پایاں ہیں مگر ہمیں یہاں صرف عبدالحمید عرفانی کی اقبال شناسی کا جائزہ لینا ہے۔ اقبال کو ایران میں متعارف کرانے کے لیے ’’رومی عصر‘‘ جیسی مدلل کتاب، پاکستان میں جنم لینے والی مشہور عشقیہ داستانوں کو ’’داستان پائے عشق پاکستان‘‘ کے نام سے ایرانیوں کے لیے ’’ضربِ کلیم‘‘ کا فارسی ترجمہ لکھنا اور عبدالحمید عرفانی کی بے پایاں محنت اور اقبال سے محبت کی غماز ہیں۔ خواجہ عبدالحمید عرفانی نے علامہ اقبال پر ’’اقبال ایرانیوں کی نظر میں‘‘ ،’’اقبالِ ایران‘‘ اور ’’پیامِ اقبال‘‘تین کتابیں لکھی ہیں۔
 ’’اقبال ایرانیوں کی نظر میں ‘‘ میں یہ واضح کرنے کی کوشش کی گئی ہے کہ اقبال سے آشنا ہونے کے بعد اہلِ علم ایرانیوں کی اقبال کے بارے میں رائے اپنے بزرگ شعرا جیسی تھیاور وہ اقبال کو حافظ ،جامی ،سعدی اور رومی کی صف میں شمار کرنے لگے تھے۔  ’’اقبال ایران‘‘ میں  ڈاکٹر عرفانی نے اپنے قیام ایران کے دوران اقبال کو ایران میں متعارف کرانے کی جدوجہد، ایرانیوں کی اقبال سے آشنائی اور ایرانیوں کی اقبال اور پاکستان سے محبت کا اظہار کرنے کا تذکرہ کیا ہے۔  ’’پیامِ اقبال‘‘ میں  ڈاکٹر عرفانی  نے طلبا کی سہولت کے لیے اقبال کے پیغام کا خلاصہ چند صفحات میں پیش کیا ہے۔ اقبال کو ایران میں متعارف کرانا کوئی آسان کام نہ تھا۔ اس دوران عرفانی صاحب کو بہت سی مشکلات در پیش آئیں۔ جن کا تذکرہ انھوں نے  ’’اقبالِ ایران‘‘ میں کیا ہے۔ اسی لیے سب سے پہلے  ’’اقبالِ ایران‘‘ پر ایک طائرانہ نظر ڈالی...

الرّسم العثماني وأثره على المعاني القرآنية

The Holy Qur’an is miraculous in its words, methods, organization, statements, drawings and writing, as cited and agreed by all researchers, we aim through this research to: define the Ottoman drawing in Arabic language, terminologically, demonstrating its benefits, the rule of commitment to it, weighing between sayings, demonstrating its six rules, explaining and discussing the differences between the Quranic words drawings and mentioning several examples. The most important results of this research are: 1- The opinion which comforts one's self is the commitment to Ottoman drawing, and not to be written by modern spelling methods. 2- The Ottoman drawing has multiple benefits and advantages, which are not available in any other, so that it attracts commitment and reservation. 3- It has a very significant concurrence between the drawing and the meaning of the words and verses of Quran. 4- The Qura’nic word drawing strengthens the meaning and gives the full dimensions; achieving the honesty of Allah's saying: "and whose words can be truer than those of Allah?". 5- The letters' contiguity of Quranic word, knowing its characteristics embodies the meaning with the best picture. 6- The miracle of Ottoman drawing is a modern issue that Abdalaziz Ad-Dabbagh calls the most famous and the oldest one who declared this.        The most important recommendations made in this article are: 1- Conducting more researches about the benefits of Ottoman drawing, where it still needs more studies to be conducted, and more thoughts and meditations. 2- The spread of Ottoman drawing commitment culture between Quran teachers and students. 3- Obligating all Quranic associations that adopts Quran writing to write in Ottoman drawing, and prevent any other forms of writing. 4- Obligating all students and researchers to depend on Ottoman drawing through their studies and researches; which establishes a promotion to spread its culture. 5- Guiding the researchers for more studies on this topic, throughout a focused studies and clear scientific plans.

Air Quality Monitoring System.

The project served to build a device that can measure the concentration of atmospheric pollutants such as PM2.5, PM10, O3, COx, NOx, and SOx. The purpose of doing so was to combat the fact that Pakistan lacks an AQI (Air Quality Index), and previous efforts have not been fruitful in this venture. The constant rise of lung diseases and high levels of atmospheric pollutants have made absolutely essential that Pakistan develop an AQI and atmospheric pollutant monitoring system. The project consisted of two parts; the background device that captures the concentration of gases and an online application that receives said concentrations and displays them visually such that it may be understood by the general public. This report focuses on the background device, its working and implementation. The device was initially designed to measure all the above mentioned parameters however, due to constraints in procurement locally available sensors were used that measure CH4 and CO in the atmosphere. A backup battery was installed so that the device remains operational even if the mains supply is powered off. The sensors are integrated with an ESP32 which is a microcontroller with a built-in WiFi that is used to send data across to the server through HTTP protocol. The data needs to be collected every 5 minutes and therefore the device needs to be able to store data on the chip until a WiFi connection is restored. The device is also robust against the harsh environments of Karachi, and reports any anomalies that it may find with the operation. The device although in full functionality misses a few important benchmarks. Firstly, the sensors currently used arent accurate enough, and secondly, the device only relies upon WiFi to send the data across to the server. This should be avoided in the next iteration of the design by using a GSM/GPRS module with a SIM card as theres no public WiFi available in Karachi