Master-Slave IoT for Active Healthy Life Style

S. M. N. Arosha Senanayake, Nursyuhada Hj Kadir, Muhammad Syaiful Amri bin Suhaimi, Minoru Sasaki

Abstract: The objective of this work is to provide biofeedback visualization of natural daily human activities for fitness development and performance enhancement using Master-Slave IoT devices. Human test subjects with average age ± 38.6 were used to obtain the cadence of human walking in order to determine their Actual Health Status (AHS) and Transient Health Status (THS). Primary parameters experimented were Single Left Support (SLS) and Single Right Support (SRS) due to double support in the cadence to be vanished during brisk walking and running. This project utilized ZeBlok smart shoes equipped with 4 inertia measurement units (IMUs) on the toe, left ball, right ball and heel and the linear accelerometer inside the insole interfaced to the Bio-Informatics Cloud, deep neural network (DNN) tools and Samsung smart watches as IoT devices for biofeedback visualization in near real time. Master-Slave IoT hardware and software integration using cloud computing is built in order to establish knowledge base on Master-IoT device which provides THS of cadence monitored by health professionals (physiotherapist, doctors, trainers, athletes and soldiers). Slave-IoT is built for AHS during natural walking in order to produce biofeedback visualization report for health professionals and test subject under consideration as personalized healthcare solution. Thus, data availability and data redundancy provided using Master-Slave IoT devices facilitate to obtain optimal solutions during biofeedback visualization.