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DOI: 10.14569/IJACSA.2015.061030
PDF

A Real-Time Face Motion Based Approach towards Modeling Socially Assistive Wireless Robot Control with Voice Recognition

Author 1: Abhinaba Bhattacharjee
Author 2: Partha Das
Author 3: Debasish Kundu
Author 4: Sudipta Ghosh
Author 5: Sauvik Das Gupta

International Journal of Advanced Computer Science and Applications(IJACSA), Volume 6 Issue 10, 2015.

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Abstract: The robotics domain has a couple of specific general design requirements which requires the close integration of planning, sensing, control and modeling and for sure the robot must take into account the interactions between itself, its task and its environment surrounding it. Thus considering the fundamental configurations, the main motive is to design a system with user-friendly interfaces that possess the ability to control embedded robotic systems by natural means. While earlier works have focused primarily on issues such as manipulation and navigation only, this proposal presents a conceptual and intuitive approach towards man-machine interaction in order to provide a secured live biometric logical authorization to the user access, while making an intelligent interaction with the control station to navigate advanced gesture controlled wireless Robotic prototypes or mobile surveillance systems along desired directions through required displacements. The intuitions are based on tracking real-time 3-Dimensional Face Motions using skin tone segmentation and maximum area considerations of segmented face-like blobs, Or directing the system with voice commands using real-time speech recognition. The system implementation requires designing a user interface to communicate between the Control station and prototypes wirelessly, either by accessing the internet over an encrypted Wi-Fi Protected Access (WPA) via a HTML web page for communicating with face motions or with the help of natural voice commands like “Trace 5 squares”, “Trace 10 triangles”, “Move 10 meters”, etc. evaluated on an iRobot Create over Bluetooth connectivity using a Bluetooth Access Module (BAM). Such an implementation can prove to be highly effective for designing systems of elderly aid and maneuvering the physically challenged.

Keywords: Face detection; Skin tone segmentation; Voice Commands; Speech Recognition; Wi-Fi Protected Access (WPA); Arduino Wi-Fi Shield; iRobot Create; Surveillance systems

Abhinaba Bhattacharjee, Partha Das, Debasish Kundu, Sudipta Ghosh and Sauvik Das Gupta, “A Real-Time Face Motion Based Approach towards Modeling Socially Assistive Wireless Robot Control with Voice Recognition” International Journal of Advanced Computer Science and Applications(IJACSA), 6(10), 2015. http://dx.doi.org/10.14569/IJACSA.2015.061030

@article{Bhattacharjee2015,
title = {A Real-Time Face Motion Based Approach towards Modeling Socially Assistive Wireless Robot Control with Voice Recognition},
journal = {International Journal of Advanced Computer Science and Applications},
doi = {10.14569/IJACSA.2015.061030},
url = {http://dx.doi.org/10.14569/IJACSA.2015.061030},
year = {2015},
publisher = {The Science and Information Organization},
volume = {6},
number = {10},
author = {Abhinaba Bhattacharjee and Partha Das and Debasish Kundu and Sudipta Ghosh and Sauvik Das Gupta}
}



Copyright Statement: This is an open access article licensed under a Creative Commons Attribution 4.0 International License, which permits unrestricted use, distribution, and reproduction in any medium, even commercially as long as the original work is properly cited.

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