Scalable, wearable, unobtrusive sensor network for multimodal human monitoring with distributed control

Abstract

We present the concept and implementation of unobtrusive wearable network of sensors and distributed control system for integrated monitoring - acquisition, processing, analysis of human motion and other physiological modalities. The entire system, hardware and software are scalable and compliant with the Wireless Body Area Network model. The wearable system modules can work independently and continuously indoor and outdoor. Each of the tracking and controlled subjects is wearing a Body Acquisition System (BAS). BAS is a human acquisition system for monitoring human motion and multiple physiological signals. It is built into a wearable unobtrusive smart clothing and enables to create wireless sensor network using WIFI for external communication, local hub for local data acquisition, processing and transfer. The central hub for global data processing and data exchange has been developed as Cloud Based Human Multimodal Database (CBHMD). A software application, Multimodal Data Environment (MMDE) has been built to visualize and control the acquisition and monitoring process. MMDE allows domain experts such as physicians, physiotherapists, film producers, to work with connected BASs control and react in real time. MMDE enables remote communication, data acquisition directly from BASs, diagnostics, management and maintenance of medical devices in BASs, as well as data processing using customized processes and algorithms.