IOT-BASED LOW-COST WEARABLE INTERACTIVE WIRELESS EMBEDDED COMMUNICATION SYSTEM FOR HEALTH AND SPORT APPLICATIONS

Abstract

Internet of things is significantly important in different applications including health and sport. Size and weight in wearable sensors are very important factors the designer should consider. Designing an adaptable and scalable system using wearable wireless sensor nodes that can be used in different applications with low cost, and low energy consumption is a challenge. This paper focuses on building an affordable wearable wireless embedded system for health and sports applications based on the Internet of Things (IoT). A novel multi-purpose IoT-based node of less than 10$ with a diameter of 4.2cm and 12g of weight (25g with GPS) is presented. Fall detection using Machine Learning (ML) is considered for the health application, achieving 99% accuracy. Moreover, for sports, a real-time data gathering and analysis is performed, also simulated scenarios using OPNET showed a latency of less than 50µs at 54Mbps. Data for both applications are stored in a MySQL database and can be managed using a web server. Generally, the node operates for about 12 hours with a 240mAh battery, and methods to expand battery life are discussed. Additionally, a robust data security model is presented. When compared to alternatives, the system proves its feasibility, adaptability, scalability, cost-effectiveness, low energy consumption, and high performance