10158133Enhancing Surface-Agnostic Movement Tracking for Slider Using Integrated Accelerometer and Optical SystemsClosedGrant for R&DInnovate UKAI Rehab, in collaboration with the National Physics Laboratory (NPL) and the Newton Gateway to Mathematics, is developing a solution to enhance the surface-agnostic movement tracking capabilities of Slider, a rehabilitation device for knee patients. The project aims to overcome the current limitation of Slider's optical tracker, which requires a specific surface for accurate tracking in the horizontal plane. The proposed solution involves improving the sensors of the Slider and developing an algorithm to optimise sensor performance. This change will enable accurate movement tracking on any surface, such as a patient's bed or floor, without the need for a specialised mat. Project objectives: 1\. Changing Slider's sensors 2\. Developing new algorithms. An algorithm is a set of steps that are followed one by one to get the answer to a problem. It is important to develop good algorithms to let the computer chips know exactly what to do. 3\. Improving accuracy 4\. Optimising the system for long-term use. This enhancement will significantly improve Slider's versatility, user experience, and cost-effectiveness. The project will reduce production and shipping costs, simplify the user experience (especially for elderly or mobility-impaired individuals), and expand Slider's applicability in diverse healthcare settings. The collaboration leverages NPL's expertise in precision measurement and the Newton Gateway to Mathematics' proficiency in data analysis and mathematical modelling. This interdisciplinary approach ensures the development of a robust, accurate, and reliable solution that meets the high standards required for medical rehabilitation devices. Successful implementation will not only enhance Slider's competitiveness in the rehabilitation market but also contribute to advancing remote patient monitoring and home-based rehabilitation technologies, ultimately leading to better outcomes for patients recovering from knee surgeries or managing chronic knee conditions.