Design Framework for Building a Recreation Cycling Recommendation System Based on Personalized Cycling Style with Wearable Technology

Proceedings of 3rd International Conference on Internet of Things and Connected Technologies (ICIoTCT), 2018 held at Malaviya National Institute of Technology, Jaipur (India) on March 26-27, 2018

7 Pages Posted: 9 May 2018

See all articles by Surapong Wiriya

Surapong Wiriya

Naresuan University - Department of Computer Science and Information Technology

Nattapon Kumyaito

University of Phayao - Department of Information Technology

Kreangsak Tamee

Naresuan University - Department of Computer Science and Information Technology

Date Written: April 27, 2018

Abstract

This paper presented a framework for building a recreation cycling recommendation system based on personalized cycling style with wearable technology. This framework is applied to recreation cycling recommendation system using data from wearable IT equipment. For example, frequency data of cycle the legs, velocity, distance, coordination, slope of path and temperature are built cycling pattern model and tourist attraction model by machine learning technique for recommending route, consists of distance, slopes and enjoyment. The travel information cost distance from home or hotel and also predictions variables also can be used to make the decisions in cycling, for example rainy, humidity, temperature and windy.

Suggested Citation

Wiriya, Surapong and Kumyaito, Nattapon and Tamee, Kreangsak, Design Framework for Building a Recreation Cycling Recommendation System Based on Personalized Cycling Style with Wearable Technology (April 27, 2018). Proceedings of 3rd International Conference on Internet of Things and Connected Technologies (ICIoTCT), 2018 held at Malaviya National Institute of Technology, Jaipur (India) on March 26-27, 2018. Available at SSRN: https://ssrn.com/abstract=3170195 or http://dx.doi.org/10.2139/ssrn.3170195

Surapong Wiriya (Contact Author)

Naresuan University - Department of Computer Science and Information Technology ( email )

99 Moo 9 Tambon Tha Pho
Muang, Phitsanulok 65000
Thailand

Nattapon Kumyaito

University of Phayao - Department of Information Technology

19 Mu 2, Tambol Maeka,
Muang District,
Phayao province, Phayao 56000
Indonesia

Kreangsak Tamee

Naresuan University - Department of Computer Science and Information Technology ( email )

99 Moo 9 Tambon Tha Pho
Muang, Phitsanulok 65000
Thailand

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