Peer-reviewed research papers published in IEEE conferences, focusing on mobile applications, human-computer interaction, and high-performance computing.

Implementation of Dynamic Time Warping for Gesture Recognition in Sign Language using High Performance Computing

2013 International Conference on Human Computer Interactions (ICHCI) • IEEE

Abstract: ASL (American Sign Language) is the primary language of many who are deaf. Designed system for sign language recognizer works for gestures in ASL using Kinect as image capture device. Human skeleton data of the joints captured by Kinect are analyzed. Video is runtime processed for signs. If gesture is predefined in the library, it is transcribed to word or phrase, and output is presented as voice and text. After parallel implementation, the system achieves 95.6% accuracy. This recognizer can be used as tutor for those who want to learn Sign language as well as translator for Deaf people.

Published: August 23-24, 2013 • Chennai, India
DOI: 10.1109/ICHCI-IEEE.2013.6887814

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Educating on Social Awareness on Sensitive Topics using Mobile Applications

2013 IEEE International Conference in MOOC, Innovation and Technology in Education (MITE) • IEEE

Abstract: We propose use of mobile applications to teach and create social awareness for sensitive topics. In developing countries, topics like HIV/AIDS, sexually transmitted diseases, breast cancer, autism etc. are not taken seriously due to social awkwardness, cultural taboos, education system, social barriers and gender inequality. Interactive applications can be used personally without hesitation compared to discussion with a real person. As proof of concept, Android application was developed for awareness of HIV/AIDS, resulting in 53.2% increase in average marks of knowledge test about HIV/AIDS.

Published: December 20-22, 2013 • Jaipur, India
DOI: 10.1109/MITE.2013.6756362

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Promoting and Assisting Eye Donations Using Mobile Application

2013 IEEE International Conference on Computational Intelligence and Computing Research • IEEE

Abstract: In India among 15 million blind people, 6.8 million suffer from corneal blindness. We surveyed 638 participants to check awareness and understand problems in detail. The study highlights misconceptions, religious views, illiteracy and many factors which prevent eye donations. Considering pervasiveness of mobile applications, we propose a mobile solution as a full proof system. Testing showed 73.41% increment in marks after using the application. Mobile solution clarifies all doubts and misconceptions, helps users connect with nearest eye banks using GPS, maps and a lightweight Database System.

Published: December 26-28, 2013 • Enathi, India
DOI: 10.1109/ICCIC.2013.6724275

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