Wireless Visual Sensor Network Platform for Indoor Localization and Tracking of a Patient for Rehabilitation Task
作者： Monaem Idoudi , El-Bay Bourennane , Khaled Grayaa
DOI: 10.1109/JSEN.2018.2838676
关键词:
摘要: Wireless visual sensor networks (WVSNs) are commonly using information technologies of modern networking and computing platforms. Today, network applications faced with high demand powerful functionalities performances. This paper proposes the specific WVSN nodes that able to sense surrounding signals coming from patient in rehabilitation room perform as local computations wirelessly communicated within considered WVSNs. Assuming platform for supervision patients, this discusses specifications concept development relying on KINECT Raspberry Pi 3 (RPi 3) boards. Several technologies, such RPi 3, Kinect, ID sensor, utilized proposed realize sensors, image-capturing units, processing cores. collaborative consists three designed cores entire workflow support steps. The communication elements between one another components takes place via Wi-Fi. implementation a preprocessing stage component integration software kit tools necessary. In its final part, summarizes outlines different scenarios which run also provides evaluation results prove feasibility approach.
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