Open Access Open Access  Restricted Access Subscription or Fee Access

An Investigation on the Use of Expert Systems in Developing Web-Based Fitness Exercise Plan Generator


(*) Corresponding author


Authors' affiliations


DOI: https://doi.org/10.15866/irecos.v9i8.2951

Abstract


In the recent decades fitness sport became one of the most popular activities amongst people. People find exercising an activity that can help their health and prevent sicknesses. This activity is meaningless without having a good exercise plan and can even causes various injuries. For many people especially those who want to use their residential gym having an appropriate exercise plan seems difficult. This study hypothesized that expert systems can be used to create fitness plans instead of human experts. In order to proof the hypotheses, researchers applied expert systems and PHP programming to create a system which assists people to have their own exercise plan. The proposed system can generate exercise plan based on the individual’s diseases and physical characteristics. Furthermore, it is able to show the current method of activities. Since this system is web-based, it can be used in different places without depending on an especial device or operating system. In order to test the accuracy of the system, a generated exercise plan of the system was compared with four plans written by four professional trainers. The results showed that there is 70 to 80 percent of similarity between system output and trainers proposed plans. Since significant similarity exists between system output and trainers plans, the hypotheses of the study was proved.
Copyright © 2014 Praise Worthy Prize - All rights reserved.

Keywords


Expert Systems; Fitness Plan; Rule-Based Systems; CLIPS; PHLIPS; PHP

Full Text:

PDF


References


P. Jackson, Introduction to Expert Systems. 3rd edition. (Boston: Addison-Wesley, 1998).

Body Building Company, "Find Your Fitness Plan," 2013. Available: http://www.bodybuilding.com/guides/ . [Accessed: 04-Dec-2013].

N. F. Company, weight training, 2013. Available: http://www.netfit.co.uk/beginners-weight-web.htm . [Accessed: 04-Dec-2013].

3d 4 medical Company, iMuscle, 2012. [Online]. Available: http://applications.3d4medical.com/imuscle.php . [Accessed: 04-Dec-2013].

E. I. Toki, J. Pange, and T. a. Mikropoulos, An Online Expert System for Diagnostic Assessment Procedures on Young Children's Oral Speech and Language, Procedia Comput. Sci., vol. 14, no. Dsai, pp. 428–437, Jan. 2012.
http://dx.doi.org/10.1016/j.procs.2012.10.049

M. Schipor, Improving computer based speech therapy Ovidiu-Andrei Schipor, Stefan-Gheorghe Pentiuc, vol. 29, pp. 303–318, 2010.
http://dx.doi.org/10.1109/sped.2011.5940727

F. Başçiftçi and H. İncekara, Web based medical decision support system application of Coronary Heart Disease diagnosis with Boolean functions minimization method, Expert Systems with Applications, vol. 38, pp. 14037–14043, May 2011.
http://dx.doi.org/10.1016/j.eswa.2011.04.211

J. Nahar, T. Imam, K. S. Tickle, and Y.-P. P. Chen, Computational intelligence for heart disease diagnosis: A medical knowledge driven approach, Expert Systems with Applications, vol. 40, no. 1, pp. 96–104, Jan. 2013.
http://dx.doi.org/10.1016/j.eswa.2012.07.032

P. K. Anooj, Clinical decision support system: Risk level prediction of heart disease using weighted fuzzy rules, J. King Saud Univ. - Computer Inf. Sci., vol. 24, no. 1, pp. 27–40, Jan. 2012.

A. Keleş, A. Keleş, and U. Yavuz, Expert system based on neuro-fuzzy rules for diagnosis breast cancer, Expert Syst. Appl., vol. 38, no. 5, pp. 5719–5726, May 2011.
http://dx.doi.org/10.1016/j.eswa.2010.10.061

I. Chorbev, D. Mihajlov, and I. Jolevski, "Web Based Medical Expert System with a Self Training Heuristic Rule Induction Algorithm," 2009 First Int. Confernce Adv. Databases, Knowledge, Data Appl., pp. 143–148, 2009.

C. C. Osuagwu and E. C. Okafor, Framework for eliciting knowledge for a medical laboratory diagnostic expert system, Expert Syst. Appl., vol. 37, no. 7, pp. 5009–5016, Jul. 2010.
http://dx.doi.org/10.1016/j.eswa.2009.12.012

B. Liu and S. Wang, The Research of Expert System of Water Bursting Prediction in Mines and Application, 2010 Int. Conf. E-Product E-Service E-Entertainment, pp. 1–5, Nov. 2010.

S. V. Wong and a. M. S. Hamouda, The development of an online knowledge-based expert system for machinability data selection, Knowledge-Based Syst., vol. 16, no. 4, pp. 215–229, Jun. 2003.
http://dx.doi.org/10.1016/S0950-7051(02)00083-7

G.-J. Hwang, C.-Y. Chen, P.-S. Tsai, and C.-C. Tsai, An expert system for improving web-based problem-solving ability of students, Expert Syst. Appl., vol. 38, no. 7, pp. 8664–8672, Jul. 2011.
http://dx.doi.org/10.1016/j.eswa.2011.01.072

V. Papić, N. Rogulj, and V. Pleština, Identification of sport talents using a web-oriented expert system with a fuzzy module, Expert Syst. Appl., vol. 36, no. 5, pp. 8830–8838, Jul. 2009.
http://dx.doi.org/10.1016/j.eswa.2008.11.031

M. Tavana, F. Azizi, F. Azizi, and M. Behzadian, A fuzzy inference system with application to player selection and team formation in multi-player sports, Sport Manag. Rev., vol. 16, no. 1, pp. 97–110, Feb. 2013.
http://dx.doi.org/10.1016/j.smr.2012.06.002

J. F. Company, Introducing Je Fit App., 2012. Available: http://www.jefit.com/products . [Accessed: 04-Dec-2013].

E. R. Company, Fitness Testing., 2012. Available: http://www.exrx.net/Testing.html . [Accessed: 04-Dec-2013].

Active Company, Pace Calculator, 2012. Available: http://www.active.com/fitness/calculators . [Accessed: 04-Dec-2013].


Refbacks

  • There are currently no refbacks.


Please send any question about this web site to info@praiseworthyprize.com
Copyright © 2005-2024 Praise Worthy Prize