IJSRD || National Conference on Inspired Learning || October 2015

Analysis of EEG using Ensemble Empirical Mode Decomposition

Author(s):

Daksh Chawla , Dehradun Institute of Technology (DIT University); Mohit Kumar, Indian Institute of Technology, Indore; R. B. Pachori, Indian Institute of Technology, Indore; Sandeep Sharma, Dehradun Institute of Technology (DIT University)

Keywords:

EEG, EEMD, Ensemble Empirical Mode Decomposition

Abstact:
This work provides the back ground for analysis of non-linear and non-stationary brain signals by using Ensemble Empirical Mode Decomposition. The electroencephalogram (EEG) is a representative signal which contains information about the condition of the human brain. The disorder in brain is characterized by recurrent electrical discharge of the cerebral cortex. Detection of such disorders by visual scanning of EEG signal is a time consuming task and it may be inaccurate, particularly for long recording data set. In this paper an algorithm is presented which is based on the concept of Ensemble Empirical Mode Decomposition (EEMD). The main idea is White Gaussian Noise is added to the original signal and then EMD is performed. This realization is done several times and by averaging the modes we obtain the true values of modes. Empirical Mode Decomposition is being done over an ensemble of the Gaussian white noise plus signal. Hence Mode mixing problem is being resolved by populating the time frequency space plane.

NCIL : Gesture Controlled Robot for Remote Applications

Gesture Controlled Robot for Remote Applications

Author(s):

Harshit Goel , Maharaja Agrasen College (University of Delhi) Delhi - 110096

Keywords:

Gesture Controlled Robot, Remote Applications, XBee Radios

Abstract

The paper describes robustness of Sensors based Gesture Controlled Robot which is a kind of robot that can be controlled by our hand gestures rather than an ordinary old switches or keypad. In future there is a chance of making robots that can interact with humans in a natural manner. Hence my target interest is with hand motion based gesture interfaces. An innovative formula for gesture recognition is developed for identifying the distinct action signs made through hand movements. An Acceleration Sensor was used to carry out this and also a Flex sensor for convinced operation. For communication between hand and robot XBee, radio module has been used which has a significant transmission range, consumes low power and has multiple advantages over conventional RF or Bluetooth transmission. In order to full-fill our requirement a software program has been written and executed using a microcontroller on the robot. Gestures control robots can extensively be employed in human non-verbal communication. They allow to express orders (e.g. stop), mood state (e.g. -"victory" gesture), or to transmit some basic cardinal information (e.g. "two"). In addition, in some special situations they can be the only way of communicating, as in the cases of deaf people (sign language) and police's traffic coordination in the absence of traffic lights, a real-time continuous gesture recognition system for sign language Face and Gesture recognition. Upon noticing the results of experimentation proves that our gesture formula is very competent and it also enhances the natural way of intelligence and is also assembled in a cheap simple hardware circuit. INTODUCTION:   Technology today is imbibed for accomplishment of several tasks of varied complexity, in almost all walks of life. The society as a whole is exquisitely dependent on science and technology. Technology has played a very significant role in improving the quality of life. The increase in human machine interactions in our daily lives has made user interface technology progressively more important. Physical gestures as intuitive expressions will greatly ease the interaction process and enable humans to more naturally command computers or machines.  For more information click here...

“NATIONAL CONFERENCE ON ICT”

Transforming ICT to IoT

In association with

IJSRD– International Journal for Scientific Research & Development

SAL Institute of Technology & Engineering Research, affiliated to the Gujarat Technological University, Ahmedabad., is organizing 1-day event named “National Conference on ICT”  on 20th January 2016 in association with IJSRD.
The conference aims to provide an opportunity to teachers/mentors/ educators and students to acknowledge, celebrate and showcase research being carried out by students by enabling them to engage with the wider communities to exchange ideas and share intellectual activity through paper presentations sessions. The event shall feature research papers presentations by eminent educators and students from all over India in the field of ICT (Information and Communication Technologies) & IoT (Internet of Things).

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Organised by

SAL Institute of Technology & Engineering Research Opp, Science city, Sola Bhadaj Road, Ahmedabad, Gujarat 380060 Website : www.sal.edu.in

Publication Partner

International Journal  for Scientific Research & Development Website: ijsrd.com