ABSTRACT

A gesture is used to classify and recognize a signal that enables communication among the impaired community. It is a technique that has been in use to make people feel comfortable just like the normal people behave. In this article, the communication toolkit comprises a gesture recognition kit that comprises of an audio device, a display selective panel and an eyeglass with inbuilt camera. The camera captures the gesture passes it to the display panel where the audio device recognizes and speaks up the gesture making proper two way communication between persons. In this paper, we talk about the use of selective panel that depicts what the intended person want to communicate through various set of images stored in it and then speak out using the device. The need of action is depleted due an in built mechanism that would be much more efficient.

Title	:	A Review on sensor based communication kit for impaired society
Authors	:	Manpreet Singh Sohal, Dr. Rohit Bajaj
Keywords	:	Sign Language; Display Panel; Human-Computer Interface (HCI);Kalman filters; Artificial neural network (ANN);Hidden Markov Models (HMM); embedded glass.
Issue Date	:	August 2016.
Abstract	:
Page(s)	:	320-325
ISSN	:	0975–3397
Source	:	Vol. 8, Issue.08