Sharda Amardas Chhabria

Sharda Amardas Chhabria
Raisoni Group of Institutions | GHRCE · Artificial Intelligence

Ph.D [Computer Science & Engineering]

About

31
Publications
9,534
Reads
How we measure 'reads'
A 'read' is counted each time someone views a publication summary (such as the title, abstract, and list of authors), clicks on a figure, or views or downloads the full-text. Learn more
144
Citations
Introduction
Dr. Sharda Amardas Chhabria has done her Ph.D in Computer Science & Engg. from RTM Nagpur University. She has done her M.Tech in Computer Science & Engg from RTM Nagpur University.Her area of interest includes Machine Learning, Human computer interaction, DBMS. She has published papers in refereed journals and conferences. She is receiptant of AICTE RPS Grant as Principal Investigator. She is life member of various professional bodies like CSI & ISTE.

Publications

Publications (31)
Article
Full-text available
This paper highlights the concept of eye and speech fusion in human computer interaction as human uses wide variety of senses to express or commands for variable activity. The proposed system considers mainly three modules which are as eye recognition, speech recognition and fusion, in addition to that different fusion techniques are applied on mul...
Article
Full-text available
In recent days significant interest is developed in gesture recognition domain because of need of different possible applications,that includes: search and rescue, hospital care, etc.This paper recognizes need of parameter optimization for gesture recognition. Various optimization techniques are discussed like Convex Optimization, Contextual Video-...
Article
This paper provides an overview of various optimisation techniques available in multimodal fusion in human-computer interaction. Humans use a variety of modes of information to recognize people and understand their activity. Fusion of multiple sources of information is a mechanism to robustly recognize human activity. The overview includes the basi...
Conference Paper
Technologies used in multimodal interfaces include conventional direct-manipulation devices like the keyboard, mouse, and pen and touch screen, as well as progressively more advanced recognition technologies such as speech recognition, 2D and 3D gesture recognition, and lip movement and gaze tracking. Usability studies, exploring and evaluating the...
Conference Paper
Full-text available
With a growing number of computer devices around us, and the increasing time we sped for interacting with such devices, we are strongly interested in finding new interaction methods which ease the use of computers or increasing interaction efficiency. Eye tracking seems to be a promising technology to achieve this goal. As the disable user cannot h...
Article
Full-text available
This paper presents head and hand gestures recognition system for Human Computer Interaction (HCI). Head and Hand gestures are an important modality for human computer interaction. Vision based recognition system can give computers the capability of understanding and responding to the hand and head gestures. The aim of this paper is the proposal of...
Conference Paper
Full-text available
In this paper, an individual human computer interface system using eye motion and hand gestures is introduced. Traditionally, human computer interface uses mouse, keyboard as an input device. This paper presents interface between computer and human. This technology is intended to replace the conventional computer screen pointing devices for the use...
Article
Full-text available
Human-robot voice interface has a key role in many application fields. Hand gesture is a very natural form of human interaction and can be used effectively in human computer interaction (HCI). In this paper, we propose a "Human Machine Interfacing Device" utilizing hand gestures to communicate with computers and other embedded systems acting as an...
Article
Full-text available
Gesture and Speech based human Computer interaction is attractive attention across various areas such as pattern recognition, computer vision. Thus kind of research areas find many kind of application in Multimodal HCI, Robotics control, Sign language recognition. This paper presents head and hand Gesture as well as Speech recognition system for hu...
Article
Full-text available
Gesture and Speech based human Computer interaction is attractive attention across various areas such as pattern recognition, computer vision. This recognition system consists of two main modules namely1.Gesture recognition 2.Speech recognition. The main approaches for analyzing and classifying hand gestures for HCI include combination of SOMM that...
Article
Full-text available
Gesture and Speech based human Computer interaction is attractive attention across various areas such as pattern recognition, computer vision. Thus kind of research areas find many kind of application in Multimodal HCI, Robotics control, Sign language recognition. This paper presents head and hand Gesture as well as Speech recognition system for hu...
Conference Paper
Full-text available
Human-robot voice interface has a key role in many application fields. Robotics has achieved its greatest success to date in the world industrial manufacturing. Hand gesture is a very natural form of human interaction and can be used effectively in human computer interaction (HCI). The approaches for analyzing and classifying hand gestures for HCI...
Article
Full-text available
Natural and friendly interface is critical for the development of service robots. Gesture-based interface offers a way to enable untrained users to interact with robots more easily and efficiently. Robots are, or soon will be, used in such critical domains as search and rescue, military battle, mine and bomb detection, scientific exploration, law e...
Article
Full-text available
Wireless sensor networks are composed of a largenumber of sensor nodes with limited energyresources energy efficiency is a key design issuethat needs to be enhanced in order to improve thelife span of the entire network.In RETT-gen, we transform the expected lifetimeof each sensor node to an equivalent temperature,and then by using the heat dissipa...
Article
Full-text available
This paper proposes a new algorithm, the coherence algorithm, for eye movement tracking. Researchers continue to restore some functions lost by handicapped people using some powered electrical and robotic wheelchairs. This paper presents an application of eye tracking method to such wheelchairs. The coherence algorithm tracks the movement of eye to...
Conference Paper
Full-text available
Natural and friendly interface is critical for the development of service robots. Gesturebased interface offers a way to enable untrained users to interact with robots more easily and efficiently. Robots are, or soon will be, used in such critical domains as search and rescue, military battle, mine and bomb detection, scientific exploration, law en...
Conference Paper
Full-text available
The field of human-computer interaction has seen innumerous advances and innovations in the last few years. Developments in both hardware and software enable the use of speech, gestures, body posture, different tracking technology, tactile/force feedback devices, eye-gaze and even bio-sensors to develop a new generation of applications. In a multim...
Article
Design patterns capture software solutions to specific problems that have evolved over time and reflect many iterations of work. Documenting such patterns promotes proven design and software reuse. There has been a growing amount of work documenting design patterns for security, however, little work specific to VoIP security. In 2005 NIST released...
Article
Full-text available
Assistive robots have the potential to provide disabled people with effective ways to alleviate the impact of their limitations, by compensating for their specific impairments. In particular, robotic wheelchairs may help in maneuvering a wheelchair and planning motion. The eye tracking systems are the most widely used and efficient way to control t...
Article
Full-text available
Multimodal systems allow humans to interact with machines through multiple modalities such as speech, gesture and gaze. Different multimodal systems that have been developed so far will be discussed in this paper. These include put that there,Cubricon,Xtra, Quickset,RIA with MIND The growing interest in multimodal interface design is inspired in la...

Network

Cited By