Determining Keirsey Temperament Class of a Person Based on his GPS Data
Shreyash Srivastava1, Shaurya Ahuja2, Shivam Tyagi3
1Shreyash Srivastava, Department of Computer Science, Indian Institute of Technology Roorkee, Roorkee, India.
2Shaurya Ahuja, Department of Computer Science, College of Engineering Roorkee, Roorkee, India.
3Shivam Tyagi, Department of Computer Science, College of Engineering Roorkee, Roorkee, India.
Manuscript received on January 01, 2013. | Revised Manuscript received on January 02, 2013. | Manuscript published on January 05, 2013. | PP: 404-408 | Volume-2, Issue-6, January 2013. | Retrieval Number: F1182112612/2013©BEIESP
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© The Authors. Published By: Blue Eyes Intelligence Engineering and Sciences Publication (BEIESP). This is an open access article under the CC BY-NC-ND license (http://creativecommons.org/licenses/by-nc-nd/4.0/)
Abstract: The smart phone market has steadily gone up in the recent years. The technologies have taken a further leap and immensely improved. The Global Positioning System (GPS) is one location acquisition technology that is present in almost every smart phone that we use. The dataset obtained from the location acquisition technologies can in some way be used to determine various useful results and conclusions from the movement patterns of a person. The places a person visits and the frequency of visits, to some extent describe his personality. This paper presents one such innovative idea to determine the Keirsey Temperament class of a person by processing his collected GPS data.
Keywords: Global Positioning System, location acquisition, temperament, data mining, reverse geocoding.