Yinhuan Dong

We focus on empowering individuals, particularly those with age-related cognitive challenges, to live independently through proactive, personalised support systems. Our technology anticipates and adapts to users’ needs, providing tailored solutions that promote long-term well-being and revolutionise the management of cognitive health. Our system delivers innovative cognitive support and analytics solutions, utilising Collaborative Generative AI and smart sensing technology.

The Team

Dr Yinhuan Dong 

Professor Tughrul Arslan 

Dr Axel Thomson 

About Us

Dr Yinhuan Dong is an early entrepreneur and Postdoctoral Researcher at the University of Edinburgh. He is passionate about leveraging AI and smart sensing technology to improve the quality of life. He is currently involved in leading research efforts within the EWireless Research Group, focusing on AI-driven, person-centric systems that support independent living and cognitive health, particularly for individuals with early-stage dementia. His research project LiveFree is a winning solution of the Longitude Prize on Dementia. During his PhD, Dr Dong made significant contributions to data-driven and machine learning-based approaches for mobile indoor positioning. His publications advanced the development of smart environments, IoT systems, and intelligent sensing technologies, bridging academic insights with real-world industry applications.

Professor Tughrul Arslan is Chair of Integrated Electronics at University of Edinburgh and has world leading expertise in intelligent low-power embedded sensor-based systems and contributions in emerging mobile and wearable devices for advanced healthcare applications. He is an investigator on a number of projects and is the workpackage co-lead for the integrated technologies of care theme within the Advanced Care Research Centre, a multi-disciplinary research programme combining research across fields including medicine, care professions, engineering, informatics, data and social sciences. He is also the principal investigator of the LiveFree project, collaborating closely with Dr Yinhuan Dong. For the last 10 years, his work has resulted in over 500 publications, 25 patents, and the creation of four spinout companies. He and his EWireless Research Group in Edinburgh, have created a unique expertise in low-power, AI-driven smart sensing systems design and prototyping for medical applications at the Institute for Integrated Micro and Nano Systems in the Scottish Microelectronic Centre.

Dr Axel Thomson is a member of the Enterprise Services Team at Edinburgh Innovations, the Technology transfer office of the University of Edinburgh. He joined EI in 2019 to provide Business Development activities for staff in the Schools of Biology and Engineering, and managed the BBSRC IAA program. He recently joined the Enterprise Team supporting staff spin-outs and start-ups, and has worked with a recently launched spin out and others undertaking pre-spin out activities. This has involved co-ordination of IP evaluation and filing, and diligence of funding agreements and commercial contracts, as well as supporting teams on the ICURe program. 

Problem

We are addressing the growing need for better support systems for individuals with cognitive challenges as they age. Current solutions are mostly reactive, focusing on issues after they occur rather than promoting independence and prevention. There is a lack of proactive, personalised technologies that help people maintain cognitive health and autonomy in their daily lives. Our goal is to develop intelligent systems that monitor and anticipate changes, providing tailored support to help individuals live independently and improve their quality of life.

Solution

Our solution leverages smart wearables, and IoT technology to collect data unobtrusively through advanced smart systems. By analysis via our tailored Collaborative Generative AI engine, our platform provides personalised support and intervention. Co-designed with individuals and care experts, this solution anticipates needs and adapts in real-time, promoting independence and enhancing well-being. Designed for those facing cognitive challenges, it empowers people to live autonomously for longer, revolutionising cognitive health management and improving overall quality of life.

Market

The potential market for our solution includes individuals experiencing early-stage cognitive decline, such as those with mild cognitive impairment or early dementia, as well as the broader ageing population influenced by their family members. It also targets the healthcare sector, including caregivers, healthcare providers, and institutions seeking advanced tools to support independent living and cognitive health management. Additionally, our solution appeals to major digital health platforms focused on AI-driven personalised care solutions, with the potential to extend its impact across the general healthcare sector as a versatile and comprehensive tool.

Contact

Yinhuan Dong LinkedIn