Pain Marker Evaluation Application in Augmented Reality and Mobile Platforms

Pain evaluation methods can represent pain information clearly yet inefficiently; they also cannot effectively display long-term pain records for review or comparison. They often must be supplemented by multidimensional scales with descriptors and labeled body figures. Pain is complicated to describe accurately, has a variety of causes, is related to pathology, and, in pain evaluation, needs improvements in information loss or incompleteness, dynamic pattern, long-term history tracking, and complexity and convenience of recording and maintaining this information. We propose a novel pain recording and tracking system using augmented reality (AR) that is complete and direct to use. Results show this app is reliable and appeals to users.