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Dive into the research topics where Won-Jae Yi is active.

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Featured researches published by Won-Jae Yi.


international midwest symposium on circuits and systems | 2012

Mobile sensor data collector using Android smartphone

Won-Jae Yi; Weidi Jia; Jafar Saniie

In this paper, we present a system using an Android smartphone that collects, displays sensor data on the screen and streams to the central server simultaneously. Bluetooth and wireless Internet connections are used for data transmissions among the devices. Also, using Near Field Communication (NFC) technology, we have constructed a more efficient and convenient mechanism to achieve an automatic Bluetooth connection and application execution. This system is beneficial on body sensor networks (BSN) developed for medical healthcare applications. For demonstration purposes, an accelerometer, a temperature sensor and electrocardiography (ECG) signal data are used to perform the experiments. Raw sensor data are interpreted to either graphical or text notations to be presented on the smartphone and the central server. Furthermore, a Java-based central server application is used to demonstrate communication with the Android system for data storage and analysis.


electro information technology | 2012

3D image reconstruction and human body tracking using stereo vision and Kinect technology

Weidi Jia; Won-Jae Yi; Jafar Saniie; Erdal Oruklu

Kinect is a recent technology used for motion detection and human body tracking designed for a video game console. In this study, we explore two different types of 3D image reconstruction methods to achieve a new method for faster and higher quality 3D images. Generating depth perception information using high quality stereo image textures is computationally heavy and inefficient. On the other hand, depth information can be obtained very fast using Kinect but the overall 3D image quality is not refined and it is low resolution. Thus, in this study we explore the combination of higher quality images on a webcam and faster computation of depth information on Kinect in order to create an efficient and enhanced 3D image reconstruction system. This high resolution system has a broad range of applications including 3D motion sensing of human body, hands tracking and finger gestures.


electro/information technology | 2014

Wearable sensor data fusion for remote health assessment and fall detection

Won-Jae Yi; Oishee Sarkar; Sivisa Mathavan; Jafar Saniie

In this paper, we present the system architecture and design flow for remote user physiological data and movement detection using wearable sensor data fusion. Our design utilizes an Android smartphone to integrate and process multiple body sensor data to enhance the reliability for remote health diagnosis. Various sensor data such as body temperature, current geographical location, electrocardiography, body posture and fall detection data are collected using concurrent Bluetooth connections to the Android smartphone. Our Android application software is designed to handle real-time analysis of collected sensor data to determine current user status, such as instant heart beat rate, body orientation and possible fall recognition. With the help of the Internet connection on the Android smartphone, the system communicates with a remote server and a designated contact person to log sensor data, and to notify authorized professionals in case of an emergency situation. Our system is highly valuable for remote and mobile patient monitoring and diagnosis. This design flow can be extended to condition assessments in various environments and it is not limited to body temperature, current geographical location, electrocardiography, body posture and fall detection.


electro information technology | 2013

Smart mobile system for body sensor network

Won-Jae Yi; Jafar Saniie

This paper presents a smart mobile system for a body sensor network (BSN) that collects, displays, analyzes and streams multiple sensor data to a centralized computing server. Multiple wireless protocols including the Bluetooth, cellular data network, Wi-Fi and Near Field Communication (NFC) are used to transmit sensor data. An Intelligent Personal Communication Node (iPCN) using an Android smartphone is introduced consisting of sensor data collection, processing, analysis and transmission by the smartphone. Various sensor data are tested including acceleration, temperature and electrocardiography (ECG) data to demonstrate system extensibility. Particularly for ECG sensor data, a QRS detection algorithm for heart beat rate (HBR) calculation is implemented to demonstrate Android system computation feasibility for real-time signal processing. A major advantage of the Android system is the ability to communicate with sensor nodes on-demand and to acquire realtime multiple sensor data simultaneously. The proposed smart sensing system is not restricted to BSN, but also can have applications for any critical environment that requires instantaneous and remotely accessible monitoring system.


instrumentation and measurement technology conference | 2013

System architecture of intelligent personal communication node for body sensor network

Won-Jae Yi; Sufeng Niu; Thomas Gonnot; Jafar Saniie

In this paper, we introduce a wireless body sensor network (BSN) system architecture with sensor data collection, signal processing, analysis and transmission capabilities. These capabilities are established on an intelligent Personal Communication Node (iPCN) consisting of an FPGA board and/or an Android smartphone with wireless connections to sensor nodes and a central server. We demonstrate signal processing feasibility for both iPCN candidates by observing Fast Fourier Transform (FFT) computation performance. Acceleration, temperature, electrocardiography (ECG) and phonocardiography (PCG) signal data collections using an Android smartphone are established for data transmissions and graphical/numerical display in real-time. Wireless protocols such as Near Field Communication (NFC), Bluetooth, Wi-Fi and cellular data network connections are used for data transmission. This basic system emphasizes the capability to mobilize and enable remote diagnosis of system users while maintaining normal day-to-day activities.


ieee sensors | 2013

Wireless sensor network for structural health monitoring using System-on-Chip with Android smartphone

Won-Jae Yi; Spenser Gilliland; Jafar Saniie

Critical structures such as aircrafts, bridges, dams and buildings require periodic inspections to ensure safe operation. Reliable inspection of structures can be achieved by combining ultrasound non-destructive testing techniques with other sensors (for example, temperature sensor and accelerometers). In this study, we show that adapting wireless embedded systems to the task of structural health monitoring improves inspection productivity, increases mobility, and allows the aggregation of critical data to enhance inspection accuracy. To achieve this objective, we developed a customized system based on Reconfigurable Ultrasonic System-on-chip Hardware (RUSH) platform. RUSH collects and analyzes ultrasonic data to detect structural flaws such as cracks, voids, or fatigue. The collected data is then transferred through a Bluetooth transceiver to an Android smartphone referred to as Mobile Sensor Data Collector (MSDC), where the data is instantly displayed and forwarded to a central server for expert review over the Internet.


electro information technology | 2015

Design flow of wearable heart monitoring and fall detection system using wireless intelligent personal communication node

Won-Jae Yi; Oishee Sarkar; Sivisa Mathavan; Jafar Saniie

Most current remote health monitoring systems provide limited physiological information on the user end. Raw physiological data collected from the on-body sensors are sent to a distant location for data storage and analysis without being analyzed on the user end. In this paper, we present the design flow of a system utilizing the Wireless Intelligent Personal Communication Node (W-iPCN) for analyzing heart activities and detecting sudden fall situations of a remote patient. The W-iPCN is a small, compact and lightweight system which has the ability to process and analyze body sensor data. Furthermore, this system is capable of communicating with other devices through wireless protocols. The purpose of having the W-iPCN for wireless body sensor network system is to provide in-depth biomedical data to the user in real-time. As an example, we emphasize on electrocardiography (ECG), accelerometer and gyroscope data analysis to show the feasibility and capability of the W-iPCN. The ECG sensor data is useful to determine current heart conditions of the user. Accelerometer and gyroscope data are useful to detect sudden collapse events. In this paper, we expand our system design to an Android smartphone to present acquired analyzed sensor data to the user. In addition, the Android smartphone transmits the data to the distant server for data logging and history keeping through the Internet in realtime. Our system targets standard Android smartphone users to be able to install and run our Android application software without requiring expert software knowledge.


ieee international technology management conference | 2014

Design flow of a wearable system for body posture assessment and fall detection with android smartphone

Won-Jae Yi; Jafar Saniie

In this paper, we present a design flow of a wearable system for posture assessment and fall detection of a mobile individual using an Android smartphone. The proposed design architecture utilizes the smartphone as data gateway and analyzer in order to provide immediate information to the emergency contact person or a medical facility. We present and analyze the necessary components required to observe body orientation and fall detection. The system is designed to be low power, portable, lightweight and has wireless data communication capability. By capitalizing on multiple types of wireless connections available on the Android smartphone, our design captures posture information and transmit this information to emergency contact person as well as to a central location for data analysis by experts and also for data logging. The posture analyzer and the fall detecting system can be an essential component within a broader wireless body sensor network to monitor a mobile individual who needs constant monitoring and immediate medical treatments.


international midwest symposium on circuits and systems | 2013

Mobile ultrasonic signal processing system using Android smartphone

Won-Jae Yi; Spenser Gilliland; Jafar Saniie

This study introduces a mobile ultrasonic signal processing (MUSP) system using an Android smartphone for remote ultrasonic testing and imaging applications. The Android smartphone has multiple wireless data communication options such as Bluetooth, Wi-Fi and cellular data networks. The smartphone receives the ultrasonic data using the Bluetooth connection from a data acquisition and communication unit (DACU). With the help of Android Native Development Kit (NDK) libraries, we developed two signal processing algorithms in C programming language which are processed by the Android smartphone to explore the smartphone computing capability for ultrasonic testing applications. Split Spectrum Processing (SSP) and Chirplet Signal Decomposition (CSD) algorithms are considered for benchmarking and signal analysis. The analyzed data is displayed in real-time on the smartphone screen and streamed to a central location via Wi-Fi or cellular data networks for storage and further data analysis. A Java programmed server application is implemented to communicate with the Android application over the Internet in order to display and save the retrieved signal data. This system brings the ability to analyze ultrasonic signals remotely and to transfer ultrasound data from one end to the other for extensive signal ultrasonic imaging at a central location. The accessibility of the ultrasonic data at the central location allows experts to review ultrasonic information and make decision about the state of the health of structures and critical components under test.


electro information technology | 2016

Managing Quality of Service in Wireless Body Area Networks using CoAP

Ehsan Monsef; Mario Gonzalez; Won-Jae Yi; Jafar Saniie

This paper examines techniques to embark upon the Quality of Service (QoS) issues in Wireless Body Area Network (WBAN) using the Constraint Application Protocol (CoAP) framework. The design of QoS in WBAN is a challenging task due to several reasons such as lossy channel, resource-constraint nodes and priority-based services. The QoS provisioning mechanisms mostly focus on the MAC layer and do not extend easily across all platforms. We propose to integrate the QoS design into the application layer using the standard CoAP framework. CoAP architecture is a platform independent standard intended to be used in simple electronics devices such as Internet of Things (IoT). We introduce three CoAP features such as Caching, Confirmability and Multicast addressing. We examine these options to deploy the QoS mechanism in the WBAN composed of sensors with heterogeneous priorities. The proposed solutions are universal and can be deployed on any sensor platform which supports the standard CoAP software protocol.

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Jafar Saniie

Illinois Institute of Technology

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Thomas Gonnot

Illinois Institute of Technology

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Ehsan Monsef

Illinois Institute of Technology

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Oishee Sarkar

Illinois Institute of Technology

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Sivisa Mathavan

Illinois Institute of Technology

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Spenser Gilliland

Illinois Institute of Technology

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Weidi Jia

Illinois Institute of Technology

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Erdal Oruklu

Illinois Institute of Technology

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Hao Jiang

Illinois Institute of Technology

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Mario Gonzalez

Illinois Institute of Technology

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