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Golash, Richa
- Hand Gesture and Speech Giving New Dimensions in Design of Intelligent Machine Using Kalman Fusion
Authors
1 Deptt of EC Engg., Akshaya Institute of Technology–Tumkur (Karnataka), IN
2 Deptt. of CS Engg., Samrat Ashok Technological Institute – Vidisha (M.P.), IN
Source
Artificial Intelligent Systems and Machine Learning, Vol 6, No 8 (2014), Pagination: 301-305Abstract
Developing Intelligent Machines is old concept but new era of advancement. Different researches are being carried out and many achievements has also been achieved to design smart machine having brain. The aim of this paper is to discuss and analyze two main challenges in this field, First is discussion based on human way of communication Hand Gesture and Speech can be the best combination to design user-friendly machine as they are co-expressive to each other and capable of giving complete meaning to any command. Second, comparing various level of fusion of heterogeneous inputs and discussing the steps and advantage of Kalman fusion in detail. This paper will help in will be helpful in improving the efficiency in Human Machine Interaction using Multimodalities.
Keywords
Feature Level Fusion, Hand Gesture, Intelligent Machine Kalman Fusion, Speech.
- High Level Cognitive Vision for Developing Smart Environment using Hand Gesture Recognition
Authors
1 Deptt of EC Engg., Sagar Institute of Research Technology and Science – Bhopal, 462041 (M.P.), IN
2 Deptt of EC Engg., Sagar Institute of Research Technology and Science –Bhopal, 462041 (M.P.), IN
3 Dept. Sagar Institute of Research Technology and Science – Bhopal, 462041(M.P.), IN
Source
Artificial Intelligent Systems and Machine Learning, Vol 4, No 3 (2012), Pagination: 148-151Abstract
As technology is growing tremendously electronic gadgets are becoming social agents in our day today life. Nowadaysconcept of Smart environment where human can interact withmachine using its biological intelligence is developing. Biologicalintelligence means interacting machine with his natural way of communication using speech, gestures etc.. Moreover Human–computer/machine interaction (HCI) systems capable of sensing and responding to the user‟s natural way of interaction is likely to be perceived as more natural , more efficacious and persuasive . With the help of this paper a mode of communication which is away from data entry by keyboard, mouse etc. , using hand gestures is tried to develop. The current state of art is that hardware interfaces like gloves etc. are being designed but to form rich vocabulary and grammar for operating machine which will give a wireless and natural way of interaction with machine is still a challenging task. In this paper high level classification of complicated hand gesture behavior, by which human wants to issue a command is simplified by combining statistical and structural pattern recognition approaches. These hand gesture behavior which are converted into binary using image processing tools, forms words of the vocabulary, which are then interpreted as various control commands for various devices. Using combination of two approaches shows that vocabulary of command instruction can be increased easily, simultaneously using image features to develop context free grammar helps to solve the problem of forming gestural language.