Data visualization on wearable devices using cloud servers can provide solutions for personalized healthcare monitoring of general public leading to smart nation. The objective of this research is to develop personalized healthcare IoT assistive devices/tools for injury prevention, performance enhancement and rehabilitation using an Intelligent User Interfacing System. It consists of Array of Things (AoT) which interconnects hybrid prototypes built using different wearable measurement and instrumentations multimodel sensor system for transient and actual health status and classification. Android platforms have been used to prove the success of AoT using national athletes and soldiers with whom were permitted the implementation of a knowledge base encapsulated reference/benchmarking massive retrieve, retain, reuse and revise health pattern sets accessible via case base reasoning cloud storage. Two case studies were conducted for injury prevention and rehabilitation and performance enhancement of soldiers and athletes using smart health algorithms. Validation and testing were carried out using Samsung Gear S3 smart watches in real time.