Moore, AlexandraMehrubeoglu, Ruby2022-05-022022-05-022022-04https://hdl.handle.net/1969.6/90528Internet of Things, or IoT, has emerged as a method for cloud-enabled data collection and sharing by connecting everyday objects to the internet. Further, by allowing the interconnection of transmitted data, IoT devices create a network of communication among objects, sensed data, and users. This work uses an IoT development board equipped with a microcontroller to perform sensor data collection, fusion, and processing to assess simulated data that represents a muscle, perform signal processing on the data, and based on results determine the optimal frequency with which vibrations can be adjusted for improving the state of the source of stimulus. The initial work focuses on simulated signals from IMU and pressure sensors. In this work, the preliminary results from setting up the IoT systems, sensor data acquisition and transmission, signal processing, and vibration frequency identification will be presented.en-USinternet of thingssignal processingsensorssensor fusionPresentation