School of Engineering and Digital Arts

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Next2Me: Capturing Social Interactions through Smartphone Devices using WiFi and Audio signals

Today, there is an increasing interest in using technologies that can capture, record and analyse the daily activities of people. From the perspective of self-improvement, the quantified-self movement is aiming to offer ways for individuals to record and understand their own behaviour. In a societal scale, tracking the activities of people can allow the analysis of the behaviour of whole communities, and enable large-scale analytics. These visions are primarily motivated by the proliferation of life-logging technologies that can capture events, experiences, and raw data, while keeping them in a chronological timeline. The “life data” that is involved in life logging, is acquired using devices such as sensors and actuators, where it is then stored and examined. Recent technologies can be used to develop self-monitoring and self-sensing devices for life logging, which would deliver information of behavioural changes, environmental accountability, quantified-self and much more.‚Äč

In a technological world where smartphones devices and wireless connectivity are becoming more common, there is significant scope to develop methodologies for the gathering of hard data about behavioural activities of users within social environments, for the purpose of life-logging, memory augmentation and social sensing. “Next2Me” describes an Android mobile app specifically designed to track the social interactions between a set of users within various scenarios and environments. The system samples the signals from nearby Wi-Fi access points in the form of Wi-Fi fingerprints, which are then analysed as a method of single modality. The key idea is to branch away from energy-consuming GPS methodologies and instead use a technique which can passively track social interactions continuously using smartphone devices, using less power, with the objective of implementing further modalities to improve accuracy.

This project won the IEEE UKRI Telecommunications Prize for the best Student Project in the Telecommunications Field in October 2015. Since then, research surrounding the app continueed as part of my PhD.

Publications

View a full list in the Kent Academic Repository

Conference item:
Baker, Jon, Efstratiou, Christos. 2017, Next2Me: Capturing Social Interactions through Smartphone Devices using WiFi and Audio signals. EAI International Conference on Mobile and Ubiquitous Systems: Computing, Networking and Services (MobiQuitous 2017)
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Lunerti, Chiara, Guest, Richard, Blanco-Gonzalo, Ramon, Sanchez-Reillo, Raul, Baker, Jon. 2017, Environmental Effects on Face Recognition in Smartphones. 51st IEEE International Carnahan Conference on Security Technology
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2017 - 2018

  • Digital Portfolio BSc: Web design and development
  • Mobile Application Design BSc: Android app development and design
  • Mobile Application Design MSc: Android app development and design

2016 - 2017

  • Digital Portfolio BSc: Web design and development
  • Software Development BSc: PHP and MySQL development
  • Internet Programming with Java BSc: Web applet development using Java 7 and BlueJ
  • Mobile Application Design BSc: Android app development and design
  • Mobile Application Design MSc: Android app development and design

2015 - 2016

  • Digital Portfolio BSc: Web design and development
  • Mobile Application Design BSc: Android app development and design
  • Mobile Application Design MSc: Android app development and design

2014 - 2015

  • Digital Portfolio BSc: Web design and development
  • Mobile Application Design BSc: Android app development and design
  • Internet Programming with Java BSc: Web applet development using Java 7 and BlueJ
  • Software Development BSc: PHP and MySQL development

School of Engineering and Digital Arts, Jennison Building, University of Kent, Canterbury, Kent, CT2 7NT

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Last Updated: 30/08/2017