Our projects

Minecraft for GOSH




black box recorder

Facial recognition

Disability functional assessment


age 9

Minecraft for GOSH

Minecraft is a video game where users can dig (mine) and build (craft) different kinds of 3D blocks within a large world of varying terrains and habitats, which has become a global phenomenon, beloved by children of all ages. DRIVE is delighted that Microsoft has partnered with us through Minecraft for GOSH, to recreate the entire hospital in a Minecraft world, where our patients are able to virtually explore before they visit and virtually meet and befriend other patients at the hospital. It is our hope that Minecraft for GOSH will improve our patients’ experience of care by enabling them to take an active, fun and participatory role in their patient journey.


Medical drawings form an important part of the patient record but currently most are paper-based freehand drawings with associated problems of storage and subjective assessment. Our students have created a cross-platform medical drawing app, which represents data in a standardised, quantifiable, digital format with efficient storage and retrieval capabilities. Medidraw features the ability of freehand capture and drawing on standard templates of features such as lacerations and bruising, with automated quantification and separation of body areas. Compared to existing medical digital drawing apps, Medidraw provides additional functionality such as the provision of quantitative information and further customisation, which will enable rapid, real-time quantification and linkage to individual recording.

Facial recognition applications using Microsoft cognitive services

Many GOSH patients and/or their family members have genetic syndromes which may be recognisable from facial features. This project aims to develop a facial recognition app for deployment in clinics using Azure computer vision and Facial Recognition algorithms.


Many GOSH patients are in hospital for a long time without their family, and it can be difficult for parents to get messages to their children, especially the very young. UCL Computer Science has previously developed a concept of a ‘touchstone’, which can receive and transmit messages and music from family members to patient from a mobile phone app. A BSc project developed the ‘touchstone’ concept into a proof of principle product for use at GOSH. MSc students are now progressing the device so it can receive audio messages from a family using Microsoft Cognitive Services and IoT devices allowing parents to leave message for their child.

Surgery based black box recorder 

Operating rooms currently do not have a black box device to record all the interactions that take place during procedures. Such information could be valuable in improving the understanding of adverse events. The aim of the project was to develop an operating room black box recorder using sensors, which would track assets, their usage patterns and their users throughout a physical building. The recorder collates inputs from various devices to provide a time-stamped overview of events.

Disability functional assessment from

wearables and sensors

The evaluation of the extent of disability compared to normal expected function is difficult and subjective, especially in children, making outcome evaluation unreliable. The project’s aim is to develop a prototype of an objective disability tool using sensors and/or wearables. The sensors or body sensor networks provide simple dash boarded baseline and disability scores from simulated conditions.



Level 1 40 Bernard Street



© 2020 DRIVE