Application of IoT-based sensing and signal processing for rehabilitation

A. Moore; M. Mehrubeoglu; Aaron Mooney; L. McLauchlan

doi:10.1117/12.2622335

8 June 2022 Application of IoT-based sensing and signal processing for rehabilitation

A. Moore, M. Mehrubeoglu, Aaron Mooney, L. McLauchlan

Proceedings Volume 12122, Signal Processing, Sensor/Information Fusion, and Target Recognition XXXI; 1212210 (2022) https://doi.org/10.1117/12.2622335
Event: SPIE Defense + Commercial Sensing, 2022, Orlando, Florida, United States

Abstract

IoT has emerged as a method for cloud-enabled data sharing by connecting everyday objects to the internet. Further interconnecting data transmission, IoT sensors 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 the motion, flexibility, and improvements of the human knee toward the development and enhancement for a wearable sensor device. The signals are collected through simulated movements and processed through signal processing algorithms to record and analyze data that can then be used for potential therapeutic applications. To characterize the motion and its effect on the user, the three sensors targeted include inertial measurement unit (IMU), pressure, and temperature. In this paper we demonstrate an Asure cloud-based IoT environment as well as sensor data collection and fusion from simulated knee joint motion, temperature and location change.

Conference Presentation

Citation Download Citation

A. Moore, M. Mehrubeoglu, Aaron Mooney, and L. McLauchlan "Application of IoT-based sensing and signal processing for rehabilitation", Proc. SPIE 12122, Signal Processing, Sensor/Information Fusion, and Target Recognition XXXI, 1212210 (8 June 2022); https://doi.org/10.1117/12.2622335

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