Abstract
This study presents the architecture and design flow of smart mobile sensing systems that performs wireless sensor data transmission, data analysis and display in real-time. Multiple wireless protocols are used for sensor data transmission including the Bluetooth, cellular data network and Wi-Fi for Internet access, and Near Field Communication (NFC). An Android smartphone is utilized to demonstrate the design concept of an Intelligent Personal Communication Node (iPCN) and to perform real-time sensor data acquisition, processing, analysis, display and transmission. Tested sensors include acceleration, temperature, electrocardiography (ECG) and phonocardiography (PCG). For computational capability tests, we have observed the signal processing performance of the smartphone by implementing fast Fourier transform (FFT) of the received ECG signal, and QRS detection algorithm for spontaneous heart beat rate (HBR) estimation. This system has also been tested for multiple sensor node communication and on-demand sensor data acquisition. The smart mobile sensing system can also be applied to any environment that requires real-time sensing and wireless remote monitoring.
Highlights
Smartphones are the fastest growing component in the IT market and are the biggest phenomenon of our daily life
Multiple wireless protocols are used for sensor data transmission including the Bluetooth, cellular data network and Wi-Fi for Internet access, and Near Field Communication (NFC)
A typical Android device is equipped with multiple wireless adapters including the Internet accessible cellular data network and Wi-Fi adapters, a Bluetooth transceiver, and a Near Field Communication (NFC) reader
Summary
Smartphones are the fastest growing component in the IT market and are the biggest phenomenon of our daily life. A typical Android device is equipped with multiple wireless adapters including the Internet accessible cellular data network and Wi-Fi adapters, a Bluetooth transceiver, and a Near Field Communication (NFC) reader. We introduce the system architecture and design flow of smart mobile sensing systems using Android smartphones This system is capable of data communications with multiple sensors via the Bluetooth connection, data processing and analysis using the on-board ARM-based microprocessor, user-friendly data display, and data streaming to a central server via the Internet connection. This paper is organized as follows: Section 2 illustrates the overall design flow and the architecture of the smart mobile system and emphasizes sensor data interpretation algorithms; Section 3 describes results of various sensor data acquisition components; Section 4 presents the computation and communication capabilities of the smartphone by observing ECG signal processing results and experimental challenges using multiple sensor connections; and Section 5 summarizes the findings and comments on the future trends of a smart mobile sensing system
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