Basker A. currently serves as Assistant Professor at Department of Computer Science and Engineering, School of Engineering, Coimbatore Campus. His areas of research include Computer Vision, Image Processing and machine learning.






Publication Type: Journal Article
Year of Publication Publication Type Title
2015 Journal Article A. Rajendran, M.V.K. Kiran, Vasudevan, S. K., and A. Baskar, “An exhaustive survey on human computer interaction’s past, present and future”, International Journal of Applied Engineering Research, vol. 10, pp. 5091-5105, 2015.[Abstract]

Technology has grown so much that interactions can happen even between computers and humans. The study related to this filed is called as HCI (Human Computer Interaction). It is more of an inter-disciplinary domain consisting of Computer Vision, Augmented Reality, Machine learning, Networking, Computer Graphics combined to build an effective computing system analysing the behaviour of humans as well as the computer technologies. HCI has simplified the human interaction with computers in the past, present and will always evolve till the end of time. Although the term HCI is in use since 1980’s, this field has come into limelight only after 1990’s. HCI deals with the design aspects of an entity which can be software or a product. It neither focuses on humans nor on the computers, but it certainly focuses on bridging the gap between the humans and computers. The main aim should be to develop a user friendly system rather than being confound. © Research India Publications.

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2015 Journal Article S. T. Maheswari, Unni, A. S., and A. Baskar, “Fire fighting robot using LEGO Mindstorm”, International Journal of Applied Engineering Research, vol. 10, pp. 20129-20138, 2015.[Abstract]

<p>Background/Objectives: In this paper a prototype of Fire Fighting Robot (FFR) using LEGO Mindstorm is proposed for disaster management, which has the functionality of quick movement inside a building, detecting obstacles and locating the fire on its way. Simulation of the prototype is accomplished by two modulus Fire detection and message alert. FFR uses the ultrasonic sensor to move around the obstacles and light sensor to find out the fire origin. When the fire is detected it will send messages alert to the people in, building regarding fire disaster and extinguish the fire. Simulation of the robot is tested under various scenarios with different test cases and the result is discussed in result and analysis. Conclusion/Application:The simulation designed is proved to safeguard the human life and property from the fire accident. FFR can be considered as the useful simulation for the real time application. © Research India Publications.</p>

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2015 Journal Article S. M. Thomas and A. Baskar, “Smart pharmacist for visually impaired”, International Journal of Applied Engineering Research, vol. 10, pp. 35948-35953, 2015.[Abstract]

<p>Lot of technologies has been emerged to help visually impaired. For example Obstacle detection, assistance in the supermarket, identification and location of people, navigation. In this system we propose an algorithm to assist them to identify the labels on a medicine strip. It uses a mono camera to extract the intended information’s such as tablet name and manufacturing date from medicine strip which will assist visually challenged people for medication. The system consists of three phases: data capture, data processing, and audio output. The data capture component collects scenes containing medicine strip in the form of images. The data processing component works with the proposed algorithms to transform image-based text information into readable text. The audio output component is to inform the blind user by converting it into speech output. This system is tested with bristle type medicine strips and the system gives better results in different cases like different background color, different font size and different layout. © Research India Publications.</p>

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2014 Journal Article A. Baskar and R. Babu, U., “Inter-video frame duplication detection using spatial correlation and optical flow algorithms”, International Journal of Tomography and Simulation, vol. 27, pp. 84-100, 2014.[Abstract]

The videos produced as evidences in courts, science and business are exceedingly confidential and even a simple amendment done in these videos will have a greater impact on our civilization. To ensure the genuineness of such videos, better methods are needed. In this paper we propose a technique to find inter-frame duplications (a video is tampered by adding frames from different videos) which includes two phases. Phase1 extract the key frames from the given input video and thus reduces the computation time compared to frame by frame comparisons, followed by phase2 which uses spatial Correlation and optical flow algorithm to detect the forgery from the key frames. The experimental results show our algorithm detects forgery efficiently beneath the following circumstances such as: Inserting Duplicate frames at random positions, Inserting duplicate frames throughout the video except the first frame and Inserting only one duplicate frame in the entire video.

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2014 Journal Article A. Baskar, Vasudevan, S. K., P. Prakash, and Suresh, C., “Ergodesk-desktop ergonomics using the new quadratic search algorithm”, Research Journal of Applied Sciences, Engineering and Technology, vol. 8, pp. 1762-1765, 2014.[Abstract]

Ergonomics is nothing but the rules governing the workplace. ErgoDesk is the ultimate drug-free way to look after your spine and health. This research provides an interesting and realistic solution towards achieving the goal maintaining good health. Physical stress at the work environment can reduce efficiency of the individuals at work. Ergonomics is described as the rules to be adapted by one, at work environment. The main focus of ergonomics is to reduce the physical stress caused by factors like improper body mechanics, repetitive motor movements, static positions, vibrations, lighting and impact or contact with objects. Henceforth, through this paper, we present a distinct tool called the "ERGODESK", which could be useful for monitoring a computer user's posture and activities. In this study, we present a real time feedback system for detecting people and their postures and generating summaries of postures and activities over a specified period of time. The system runs reliably on different people and under any lighting. The fundamental challenge, to detect the change in user's posture most accurately in the least time, has been analysed and a solution in form of new Quadratic Search Algorithm has been proposed. The system captures an image of the user at regular intervals of time, carries out certain pre-processing steps and then checks for a change in user's posture by comparing it with a reference image acquired previously in series of steps as per the New Quadratic Search algorithm. Then the user is notified about the change of his ergonomic posture.

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