Android based Portable Hand Sign Recognition System

TL;DR

This paper presents an Android-based portable hand sign recognition system utilizing computer vision and PCA for image analysis, aimed at aiding disabled individuals and language translation, tested with webcam data for robustness.

Contribution

It introduces a portable Android application for hand sign recognition using PCA and webcam testing, enhancing accessibility for disabled users.

Findings

System successfully recognizes hand signs with webcam data.

The approach improves robustness for real-world applications.

Potential for aiding communication for disabled individuals.

Abstract

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.