An AI for help.
Getting help during a harmful situation requires many tasks to be completed simultaneously. Smart devices have enormous potential to assist in these cases. They can be used to communicate with people, access important information and operate from within your pocket. Flare looks to takes advantage of these features to create software that can provide autonomous and intelligent assistance during an emergency.
Over 1/3 of people aged 65 and over fall each year. Often, this results in the individual spending many hours on the floor, unable to seek help, which increases the risk of serious health problems and loss of independence. We are building a mobile and wearable app that individuals can use to obtain personalised help following a fall, tailored to their own needs and abilities. Responses can range from simply providing advice for getting off the floor, to immediately notifying an emergency contact.
Flare reacts autonomously by processing data from on-device sensors, which detect significant events in the environment (such as the impact of a fall). This data is then combined with information provided by the user during an event (e.g. via speech recognition); and with information specified in the app settings, such as details of any disabilities. As a result, Flare ensures that the most appropriate response is selected for the situation and user. As a mobile and smartwatch app, Flare gets help utilising messaging apps and internet connectivity to communicate the right information to the right people, without any need to physically interact with the device.
Daniel Keitley is a PhD student at the University of Cambridge studying Mathematical Genomics and Medicine. Having completed his masters and undergraduate degree in Mathematics and Computer Science at the University of Bristol, Daniel is passionate about using technology to solve problems in medicine and healthcare. Through immediate family, Daniel has witnessed the increasing pressures on the NHS and emergency services, and so building upon his experience of programming, machine learning and cloud computing, Daniel created Flare with the belief that technology can help tackle these challenges and make people safer.
James Keitley is a doctor at the Royal United Hospitals Bath NHS Foundation Trust having graduated with honours from The University of Manchester. He also holds a first-class honours degree in Innovation and Enterprise in Clinical Medicine and has experienced innovation in emergency care while working with internationally-renowned pre-hospital care providers at the Sydney Helicopter Emergency Medical Service. James is excited to use his knowledge of clinical practice to direct Flare towards the most critical problems in pre-hospital care.