SmartFit: A Step Count Based Mobile Application for Engagement in Physical Activities

Abstract

Research has found that relatively few people en-gage in regular exercise or other physical activities. Despite the availability of numerous mobile applications and specialized devices for self-tracking, people mostly lack the motivation for performing physical activities. In this article we present SmartFit, a mobile application that uses step count for promoting the physical activities in adults. This article points out that while considering walk, activity duration is not sufficient for deter-mining users activeness state. Step count is another factor that should be taken into account. For this we propose an approach for converting the steps into duration for which activity has been performed. This duration is then used in Smartfit for categorizing user into different activeness levels. Gamification techniques have been incorporated in SmartFit as they are found to serve the purpose of motivating and encouraging the user. Gamification is used for awarding/deducting points to user in order to keep them engaged for longer period. Furthermore feedback is also provided to users depending upon their goal and achieved progress. The objective is to facilitate and motivate the user and then keep them engaged in carrying out the recommended level of physical activities.

Authors and Affiliations

Atifa Sarwar, Hamid Mukhtar, Maajid Maqbool, Djamel Belaid

Keywords

Related Articles

Color, texture and shape descriptor fusion with Bayesian network classifier for automatic image annotation

Due to the large amounts of multimedia data prevalent on the Web, Some images presents textural motifs while others may be recognized with colors or shapes of their content. The use of descriptors based on one’s features...

 Efficient Retrieval of Text for Biomedical Domain using Data Mining Algorithm

 Data mining, a branch of computer science [1], is the process of extracting patterns from large data sets by combining methods from statistics and artificial intelligence with database management. Data mining is se...

Study of Current Femto-Satellite Approches

The success of space technology evolves according to the technological progression in terms of density of CMOS integration (Complementary on - Silicon Metal) and MEMS (Micro-Electro-Mechanical System) [4]. The need of sp...

 Simultaneous Estimation of Geophysical Parameters with Microwave Radiometer Data based on Accelerated Simulated Annealing: SA

 Method for geophysical parameter estimations with microwave radiometer data based on Simulated Annealing: SA is proposed. Geophysical parameters which are estimated with microwave radiometer data are closely relate...

Utilization of Finite Elements Programs and Matlab Simulink in the Study of a Special Electrical Motor

This paper presents the study of a single-phase synchronous motor with permanent magnets (PM) using some computer programs. This motor type is used especially in household applications, and it has a low power. It is know...

Download PDF file
  • EP ID EP143179
  • DOI 10.14569/IJACSA.2015.060836
  • Views 127
  • Downloads 0

How To Cite

Atifa Sarwar, Hamid Mukhtar, Maajid Maqbool, Djamel Belaid (2015). SmartFit: A Step Count Based Mobile Application for Engagement in Physical Activities. International Journal of Advanced Computer Science & Applications, 6(8), 271-278. https://europub.co.uk/articles/-A-143179