Design Flow of Wearable Internet of Things (IoT) Smart Workout Tracking System

In this paper, we present a wearable Internet of Things (IoT) based system that assists users' training sessions with precise workout records through real-time multiple sensor data analysis. By pairing an accelerometer and an ultrasonic sensor, our system can accurately detect user's workout sessions, while a central coordinator, Personal Communication Node (PCN), is used to analyze workout session recognitions and transmitting user movement detection data to the central server or the cloud. By utilizing customized web and Android software applications, users can keep track of their workout sessions remotely, along with viewing all collected sensor data. The system has been designed to be modular in order to allow new functionality to be added or replaced based on the needs of the user. For example, this system can be extended to detect complex workout movements and combine other vital sign sensor data for analyzing any sport activities. Also, this system has the potential to be reconfigured to different purposes such as a statistics and surveillance system for round-the-clock care of patients, people with disabilities and working in hazardous environment.