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Open AccessArticle

Ontological Knowledge Engine and Health Screening Data Enabled Ubiquitous Personalized Physical Fitness (UFIT)

1
Department of Industrial Engineering & Management, Yuan Ze University, No.135, Yuandong Rd., Zhongli City, Taoyuan County 320, Taiwan
2
Project Management, Shun On Electronic Co. Ltd, 6F., No.22, Taiyuan St., Zhubei City, Hsinchu County 302, Taiwan
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Author to whom correspondence should be addressed.
Sensors 2014, 14(3), 4560-4584; https://doi.org/10.3390/s140304560
Received: 14 January 2014 / Revised: 18 February 2014 / Accepted: 18 February 2014 / Published: 7 March 2014
(This article belongs to the Special Issue Sensors Data Fusion for Healthcare)
Good physical fitness generally makes the body less prone to common diseases. A personalized exercise plan that promotes a balanced approach to fitness helps promotes fitness, while inappropriate forms of exercise can have adverse consequences for health. This paper aims to develop an ontology-driven knowledge-based system for generating custom-designed exercise plans based on a user’s profile and health status, incorporating international standard Health Level Seven International (HL7) data on physical fitness and health screening. The generated plan exposing Representational State Transfer (REST) style web services which can be accessed from any Internet-enabled device and deployed in cloud computing environments. To ensure the practicality of the generated exercise plans, encapsulated knowledge used as a basis for inference in the system is acquired from domain experts. The proposed Ubiquitous Exercise Plan Generation for Personalized Physical Fitness (UFIT) will not only improve health-related fitness through generating personalized exercise plans, but also aid users in avoiding inappropriate work outs. View Full-Text
Keywords: physical fitness; personalized exercise plan; Health Level Seven International (HL7); knowledge-based system; REST style web services; ontology physical fitness; personalized exercise plan; Health Level Seven International (HL7); knowledge-based system; REST style web services; ontology
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MDPI and ACS Style

Su, C.-J.; Chiang, C.-Y.; Chih, M.-C. Ontological Knowledge Engine and Health Screening Data Enabled Ubiquitous Personalized Physical Fitness (UFIT). Sensors 2014, 14, 4560-4584.

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