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

 Defect Diagnosis in Rotors Systems by Vibrations Data Collectors Using Trending Software

 Vibration measurements have been used to reliably diagnose performance problems in machinery and related mechanical products. A vibration data collector can be used effectively to measure and analyze the machinery...

Measuring the Data Openness for the Open Data in Saudi Arabia e-Government – A Case Study

Conceptually, data can be found at the lowest level of abstraction from where information and knowledge are being extracted. Furthermore, data itself has no meaning, unless it’s being interpreted and transferred into inf...

Security Analysis of Image Cryptosystem Using Stream Cipher Algorithm with Nonlinear Filtering Function

In this work a new algorithm for encryption image is introduced. This algorithm makes it possible to cipher and decipher images by guaranteeing a maximum security. The algorithm introduced is based on stream cipher with...

Gaussian Mixture Model and Deep Neural Network based Vehicle Detection and Classification

The exponential rise in the demand of vision based traffic surveillance systems have motivated academia-industries to develop optimal vehicle detection and classification scheme. In this paper, an adaptive learning rate...

Constraint on Repair Resources, Optimal Number of Repairers and Optimal Size of a Serviced System

The focus of this paper is the analysis of the constraint on the repair resources caused by breakdowns of components in large systems. The study has been conducted by creating a very efficient discrete-event simulator, b...

Download PDF file
  • EP ID EP143179
  • DOI 10.14569/IJACSA.2015.060836
  • Views 130
  • 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://www.europub.co.uk/articles/-A-143179