Mood Sensing Computer using Blue Eyes-Review

Journal Title: GRD Journal for Engineering - Year 2018, Vol 3, Issue 0

Abstract

Earlier people used to guess what was going on in others mind by their face expressions. But nowadays it’s not possible to say something about one’s mood and what’s going on in their mind. Computer which is used for doing works can also be used to know the Physical and emotional expressions of humans which is made possible by “BLUE EYES” technology. In this people team up with Computers. The PC can talk, listen or shriek so anyone might hear with the assistance of discourse acknowledgment and facial acknowledgment systems, Computers accumulates data from the clients and begins cooperating with them as indicated by their state of mind varieties. Computer perceives your passionate levels by a basic touch on the mouse and it can communicate with us as a close accomplice. The machine feels your nearness; confirms your personality and begins collaborating with you and even it will dial and call to your home at any critical circumstances. This all is occurring with this "Blue Eyes" technology. This technology makes use of Bluetooth and other developing technologies. “BLUE EYES” can create miracles in the near future. This paper gives the over view of this technology. This technology has both hardware and software. Hardware consists of two parts-1) Data Acquisition Unit.2) Central System Unit. Data Acquisition Unit is a mobile part of the system. They fetch the physiological data from the sensor and send it to the central system to be proceed. For accomplishing the task the device must manage wireless Bluetooth connection (connection establishment, authentication and termination). Central System Unit hardware is the second peer of the wireless connection. The box contains a Bluetooth module and a PCM codec for voice data transmission. The module is interfaced to a PC using a parallel, serial and USB cable. The audio data is accessible through standard mini-jack sockets over view of central system unit. The task of BLUE EYE software is to look after working operators' physiological condition. The software performs real time buffering of the incoming data, real-time physiological data analysis and alarm triggering to assure instant reaction on the operator’s condition change.

Authors and Affiliations

Krishnapriya Vinod, Krishnakumari T

Keywords

Related Articles

Analysis of Delay and Travel Time for Pre-timed Traffic Signal Coordination on Close Continuous Intersections

Signal Coordination of consecutive intersections were carried out by thumb rule by coupling the indices depend on ratio of traffic volume to distance as well as modelled flow. As eminent resolution data is easily availab...

A Review Study on Transit Oriented Development (TOD) Index by using Different Criteria

India’s Population is increases day by day and for that different land use practices and transportation facilities provided by government but rather than only focus on improving transport service or improving land use pr...

Cognitive Radios Spectrum Allocation in Wireless Mesh Networks

Wireless mesh networks (WMNs) are considered to be an economical solution for last-mile broadband Internet access. In this paper, we study end-to-end bandwidth allocation in WMNs with cognitive radios, which involves rou...

Asynchronous Wi-Fi Control Interface (AWCI) Using Socket IO Technology

The Internet of Things (IoT) is a system of interrelated computing devices to the Internet that are provided with unique identifiers which has the ability to transfer data over a network without requiring human-to- human...

Data Quality Issues and Current Approaches to Data Cleaning Process In Data Warehousing

In this paper we have discussed the problems of data quality which are addressed during data cleaning phase. Data cleaning is one of the important processes during ETL. Data cleaning is especially required when integrati...

Download PDF file
  • EP ID EP294458
  • DOI -
  • Views 67
  • Downloads 0

How To Cite

Krishnapriya Vinod, Krishnakumari T (2018). Mood Sensing Computer using Blue Eyes-Review. GRD Journal for Engineering, 3(0), 27-32. https://europub.co.uk/articles/-A-294458