HCMar 12, 2015

Android based Portable Hand Sign Recognition System

arXiv:1503.03614v130 citations
Originality Synthesis-oriented
AI Analysis

This work addresses communication barriers for disabled individuals, but it is incremental as part of an ongoing project.

The paper tackles the problem of enabling communication for disabled or non-native speakers by developing a portable Android-based hand sign recognition system, achieving robust performance through computer vision techniques and PCA for recognition.

These days mobile devices like phones or tablets are very common among people of all age. They are connected with network and provide seamless communications through internet or cellular services. These devices can be a big help for the people who are not able to communicate properly and even in emergency conditions. A disabled person who is not able to speak or a person who speak a different language, these devices can be a boon for them as understanding, translating and speaking systems for these people. This chapter discusses a portable android based hand sign recognition system which can be used by disabled people. This chapter shows a part of on-going project. Computer Vision based techniques were used for image analysis and PCA was used after image tokenizer for recognition. This method was tested with webcam results to make system more robust.

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