sIoT-shoe: A Smart IoT-shoe for Gait Assistance

Mark Sullivan, Casey Knox, Juan Ding

Abstract


Gait analysis through the Internet of Things (IoT) is able to provide an overall assessment of daily living. All existing systems for predicting imbalance of walking in the elderly mainly consider the gait related parameters [2]. 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 analyzing foot pressure variations. The smart IoT-shoe will have a Low Energy (LE) Bluetooth communication module to discreetly collect insole pressure signals in a common environment using smartphone or smartwatch.


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