DocumentCode
3391049
Title
Mr.Tacton (Mbedded Red Tacton)
Author
Govindaraajan, Srikkanth ; Sivasankaran, Shiju
Author_Institution
Dept. of ECE, Anna Univ., Chennai, India
Volume
3
fYear
2009
fDate
19-20 Dec. 2009
Firstpage
374
Lastpage
377
Abstract
Human area networking (HAN) is an emerging trend in the field of communication. Red tacton is a technology that uses human body as a medium for transfer of data. Red tacton uses IEEE 802.3 standard to achieve a data rate of 10 Mbps. Red tacton transceivers use the body´s electrical field to transmit digital messages. Optical crystal and laser technology converts the changes in electrical field back into a signal at the receiver. This method of data transfer is harmless. This method is user friendly and fast. It also has an additional advantage of being independent of the environment in which it is used in. The major disadvantage posed by this method is noise interference. This causes loss of data in other words security lapse. We use an improved vascular pattern extraction algorithm for person verification applications. The proposed direction-based vascular pattern extraction (DBVPE) algorithm is based on the directional information of vascular patterns.The solution posed by us is towards the drawback faced by the red tacton. The best solution is the embedded solution. This method uses the near-infrared light, reflected or transmitted images of blood vessels of a hand or finger are derived and used for personal recognition. The person using the tacton has to scan his vascular pattern. For this, we use a micro-controller chip and vascular pattern image processing is done by the micro-controller and if the image patterns match then data flow takes place through the human skin. If the images do not match a buzzer beeps as an alert and data transfer is denied. This gives maximum safety to the data present in the tacton.
Keywords
biomedical electronics; blood vessels; cardiovascular system; embedded systems; feature extraction; fuzzy logic; medical image processing; microcontrollers; pattern recognition; skin; transceivers; IEEE 802.3 standard; blood vessels; data transfer; direction-based vascular pattern extraction algorithm; embedded solution; finger; fuzzy c mean algorithm; hand; human area networking; human skin; microcontroller chip; near-infrared light; noise interference; personal recognition; red tacton; reflected image; transmitted image; Blood vessels; Data mining; Data security; Humans; Information security; Interference; Laser transitions; Optical receivers; Transceivers; Working environment noise; Human area networking (HAN); IEEE 802.3; Red tacton transceivers; a Micro-Controller chip; direction-based vascular pattern extraction (DBVPE) algorithm; vascular pattern;
fLanguage
English
Publisher
ieee
Conference_Titel
Power Electronics and Intelligent Transportation System (PEITS), 2009 2nd International Conference on
Conference_Location
Shenzhen
Print_ISBN
978-1-4244-4544-8
Type
conf
DOI
10.1109/PEITS.2009.5406884
Filename
5406884
Link To Document