Geofit: Verifiable Fitness Challenges

Autor: S. Sitharama Iyengar, Alex Pissinou Makki, Leonardo Bobadilla, Niki Pissinou, Ian Michael Terry, Sebastian Ramirez, Anita Wu, Bogdan Carbunar
Rok vydání: 2014
Předmět:
Zdroj: MASS
DOI: 10.1109/mass.2014.133
Popis: The tight integration of mobile devices and apps into our daily routine impacts our approach to health. While existing solutions propose to take advantage of recent developments in mobile and sensor technologies to encourage users to lead healthier lives, we still lack a viable approach that motivates user participation. In this paper we aim to integrate fitness challenges into the daily routine of users, in order to motivate them to participate more frequently. We develop GeoFit, a mobile app that enables users to discover and add novel fitness challenges in their proximity. In addition to achievement badges, GeoFit relies on top-k lists to motivate users to become top performers. Since participation incentives may also raise cheating concerns, GeoFit leverages GPS and accelerometer sensors of the mobile device to verify the authenticity of fitness challenges performed by users. We have implemented and tested GeoFit on Android devices. Our experimental results show that the GeoFit client imposes only little overhead on the user device, while the server side can support hundreds of client interactions per second.
Databáze: OpenAIRE