In a Split Second

Children and adolescents with the medical condition Spastic Cerebral Palsy (CP) may develop an abnormal gait, resulting in walking difficulties. This may be helped overtime with noninvasive Ankle Foot Orthotics (AFOs) braces, such as Solid Ankle Foot Orthotics (SAFOs), customised to suit patients needs. However, the acquisition of patient measurements for customisation and manufacturing itself is manual, slow, intrusive, subjective, and requires specialist skills to accomplish. This can commonly result in negative experiences for patients and reduce the access to healthcare to many people. This can especially affect vulnerable patients such as children or adolescents with Spastic CP.  Research has identified that a 3D digital system that scans patients’ limbs and prints orthotics has the potential to improve the AFO creation process through speed, accuracy, and data availability. However, this system requires new technologies to fulfill its required performance, including a reliable way to acquire the three-dimensional shape of the limbs.  As such, a close-range photogrammetry system was identified as a fast and accurate alternative for producing surface measurements through 3D models compiled from images taken simultaneously. This research portfolio explores the design development of such a system by identifying areas of improvement, barriers, and solutions in a multi-method iterative research-through-design approach and pragmatic design framework. The aim was to achieve quick and accurate acquisition of a patient’s’ lower half measurements, while focusing on the experience of users during system interaction. The final output is a formally evaluated close-range photogrammetry scanner prototype, that created a non-intrusive and accurate alternative to traditional methods via quick and detailed capturing of patient surface measurements for later analysis. While also facilitating the needs of two user groups: vulnerable patients, and operating technician, to better their user experience.