SISTEM KOREKSI POSTUR DUDUK DENGAN BETASPC BERBASIS ARDUINO DUEMILANOVE

Main Article Content

Mukti Budiarto Andri Ahmad Gozali Hidayaturrohman Hidayaturrohman

Abstract

BetaSPC is a technology that uses a microcontroller (Arduino Duemillanove) as processors and sensors (infrared) which is based on the amount of light reflected on a clothes stretched (when the bent body position). With the technology used in BetaSPC allows one to determine the proper posture when sitting at a computer or laptop and improve posture during sitting. When someone is in front of the laptop or computer by sitting in an upright posture, the posture shoulder (shoulder) on the back will change clothes behind, just below the shoulder blade position becomes meragang. If someone sitting at a computer or laptop to a sitting position in a bent posture then clothes (clothes) behind, just below the shoulder blade will be stretched (tight). Then, stretch clothes that will activate the buzzer (sound and vibrate) to provide feedback to the user about the current posture stretch shirt (hunchback) so as to commemorate and improve the position of his body correctly (perpendicular) when using a computer or laptop.

Downloads

Download data is not yet available.

Article Details

How to Cite
[1]
M. Budiarto, A. Gozali, and H. Hidayaturrohman, “SISTEM KOREKSI POSTUR DUDUK DENGAN BETASPC BERBASIS ARDUINO DUEMILANOVE”, CCIT (Creative Communication and Innovative Technology) Journal, vol. 9, no. 3, pp. 290-302, Aug. 2016.
Section
Articles

References

[1] Alattas, Reem. 2014. “Postuino: Bad Posture Detector Using Arduino”. IJISR (International Journal of Innovation and Scientific Research) ISSN 2351-804 Vol. 3 No. 2 University of Bridgeport, CT USA, Jun 2014.
[2] Hsu Pro Er, Yeh Liang Hsu, Jun Ming lu, dan Cheng-Hao Chang. 2013. “Seat Adjustment Design of an Intelligent Robotic Wheelchair Based on the Stewart Platform”. International Journal of Advanced Robotic Systems. Vol 10, 168: 2013. Yuan Ze
University, Taoyuan, Taiwan.
[3] Rakay Robert, Martin Visnovsky, Alena Galajdova, Dusan Simsik . 2015. “Testing Properties of E-Health System Based
Arduino”. Journal of Automation and Control. Vol. 3, No. 3, 122-126, University of Kosice, Slovak Republic.
[4] Srikanth Ch, D S Pradeep M, Sreeram Charan K. 2014. “Smart Embedded Medical Diagnosis using” International Journal of Engineering Trends and Technology (IJET), Vol.8, No.1, Feb. 2014.
[5] Xu, Wenyao, Zhinan li, Ming Chun Huang, Navid Amini and Majid Sarrafzadeh. 2011. “eCushion: An eTextile Device for Sitting Posture Monitoring”. International Conference of Body Sensor Network. University of California, Los Angeles and University of Peking (China).