Dr. AKM Jahangir Alam Majumder, Mark Sullivan, Casey Knox, Juan Ding
Gait analysis through the Internet of THings (IoT) is able to provide an overall assessment of daily living. All exiting systems for predicting imbalance of gait in the elderly mainly consider the gait related parameters. The objective of this study is to design and develop a next generation sensor embedded smart IoT-shoe that can detect abnormal walking patterns by anaylzing foot pressure variations. The smart IoT-shoe will have a Low Energy (LE) Bluetooth communcation module to discreetly collect insole pressure signals in a common environment using smartphone or smart watch.