CrowdSense is a free continuous sensing tool, based on our open source library SensingKit. It provides an easy way for researchers to capture sensor data using any iOS or Android device. Taking user privacy seriously, all data are fully anonymised. You can access all sensed data in the iOS device using iTunes file sharing or in your Android device's External Storage Directory under the folder "CrowdSense".

SensingKit is an open-source mobile sensing framework compatible with iOS and Android devices. It is specialised in capturing motion, orientation, location and proximity (using iBeacon™ or Eddystone™) data and transmitting them on a server over any Internet connection.

This project investigates the joke delivery in stand-up comedy performances as well as the interaction between the performer and the audience. An experiment was conducted using a RoboThespian™ humanoid robot at the Barbican Centre.

A digital arts documentary by Kleomenis Katevas, Katja Knecht and Nanthakoban Senthilnathan.

A wearable device that recognises the American Sign Language (ASL) gestures and translates them into text. It analyses data captured by multiple embedded sensors, and classifies it using a 37 gestures-to-character vocabulary. The project's main objective is to provide people with hearing and speech disabilities with a straight forward method that will facilitate their communication with the world.

An iOS app that improves treatment outcomes for patients with psychosis. This research project is funded by the National Institute for Health Research in UK.

A collaborative 'Magnetic-Poetry' game that explores the communication of emotions between people. The project aims to evaluate the impact of the communication of emotions in collaborative works as well as to understand the ways the interaction between two people could be enhanced with the use of multi-touch technology.

A client-server house automation system for controlling a modern house using Java ME enabled mobile devices and Bluetooth technology.