• Journal of the Korea Institute of Information Security & Cryptology
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• v.25 no.6
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• pp.1477-1484
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• 2015

With the growth of financial industry with smartphone, interest on user authentication using smartphone has been arisen in these days. There are various type of biometric user authentication techniques, but gait recognition using accelerometer sensor in smartphone does not seem to develop remarkably. This paper suggests the method of user authentication using accelerometer sensor embedded in smartphone. Specifically, calibrate the sensor data from smartphone with 3D-transformation, extract features from transformed data and do principle component analysis, and learn model with using gaussian mixture model. Next, authenticate user data with confidence interval of GMM model. As result, proposed method is capable of user authentication with accelerometer sensor on smartphone as a high degree of accuracy(about 96%) even in the situation that environment control and limitation are minimum on the research.

• Journal of KIISE
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• v.44 no.4
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• pp.374-382
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• 2017

As the walking exercise is emphasized in personalized healthcare, numerous services demand walking information. Along with the propagation of smartphones nowadays, many step-counter applications have been released. But these applications are error-prone to abnormal movements such as simple shaking or vibrations; also, different step counts are shown when the phone is positioned in different locations of the body. In this paper, the proposed method accurately counts the steps regardless of the smartphone position by using an accelerometer and a proximity sensor. A threshold is set on each of the six positions to minimize the error of undetection and over-detection, and the cut-off section is set to eliminate any noise. The test results show that the six position type were successfully identified, and through a comparison experiment with the existing application, the proposed technique was verified as superior in terms of accuracy.

• Proceedings of the Korean Information Science Society Conference
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• 2011.06a
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• pp.241-242
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• 2011

실내에서 보행자의 움직임을 추적하기 위해 AP를 이용한 WiFi 핑거프린팅, 별도의 센서를 이용하는 방법 등 다양한 방법이 연구되고 있다. 본 논문은 보행자의 움직임을 추적하여 스마트 폰의 지자계 센서를 이용해 코너를 찾아 건물의 실내 레이아웃을 추측하기 위한 방법을 제시하고 그 성능을 분석한다.

• Proceedings of the Korean Institute of Information and Commucation Sciences Conference
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• 2021.10a
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• pp.300-302
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• 2021

Usage of a face mask has become mandatory in many countries after the COVID-19. This paper described to develop a IoT based smart mask system for monitoring face mask. The system developed in this paper has two main units, a sensor module, and a smartphone application. The sensor module consists of four components: temperature and humidity sensor, a heart rate sensor, and a BLE chip. This components work as a unit to collect data and stream them through an I2C port over BLE to a connected mobile device. The smartphone application is an Android application developed for smart phones. It enables the Android device to communicate with the sensor to receive sensor data, process, store and display results.

• Journal of the Korea Society of Computer and Information
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• v.16 no.4
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• pp.189-196
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• 2011

The main issues of the researches are monitoring environment such as weather or temperature variation and natural accident, and sensor gateways which have mobile device, applications for mobile health care. In this paper, we propose the SFMS(Smart Factory Management System) that can effectively monitor and manage a green smart factory area based on M2M service and smart phone with android OS platform. The proposed system is performed based on the TinyOS-based IEEE 802.15.4 protocol stack. To validate system functionality, we built sensor network environments where were equipped with four application sensors such as Temp/Hum, PIR, door, and camera sensor. We also built and tested the SFMS system to provide a novel model for event detection systems with smart phone.

• Proceedings of the Korea Information Processing Society Conference
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• 2013.11a
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• pp.429-432
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• 2013

스마트 폰이 출시된 이후 애플리케이션 마켓은 점점 커지고 있지만 최근 들어 마켓은 새로운 컨텐츠를 내놓지 못하고, 같은 기능을 가진 채 인터페이스만 바뀌어서 출시되고 있다. 하지만 스마트폰에 내장되어 있는 여러 센서를 이용한다면 간단한 의료기기의 기능을 가진 애플리케이션을 구현할 수 있을 것이다. 이에 본 논문에서는 안드로이드를 기반으로 한 스마트폰에서 내장되어 있는 자이로 센서를 이용하여 척추 측만정도를 자가 측정 할 수 있는 기능을 제공하며, 또한 측정된 수치를 데이터베이스를 활용 저장하여 기간별로 자신의 측만도를 쉽게 알아볼 수 있도록 그래프를 이용한 시각적으로 수치를 알려주도록 애플리케이션을 구성하였다.

• Review of KIISC
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• v.21 no.1
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• pp.38-43
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• 2011

스마트폰은 어플리케이션 마켓의 활성화와 SNS 서비스의 이용이 증가하면서 사람들에게 많은 관심을 받고 있는 휴대기기이다. 스마트폰은 사용자의 기호에 따라 어플리케이션을 설치하여 개인화 할 수 있는 특징을 지녔다. 따라서 스마트폰은 사용자에 따라 다량의 개인 정보를 저장하고 있을 수 있으며, 카메라 모듈, GPS 모듈과 같이 상황 정보를 감지할 수 있는 센서들을 내장하고 있어 신뢰할 수 있는 강한 보안 서비스가 요구된다. 윈도우즈 폰 7은 기존의 윈도우즈 시스템이나 Xbox LIVE, Zune, Windows Azure 등과 연동할 수 있는 특징을 가진 모바일 운영체제이다. 본 논문에서는 모바일 운영체제 중 국내에 아직 잘 알려지지 않은 윈도우즈 폰 7의 보안 체계에 대해 분석한다.

• Journal of The Korean Association of Information Education
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• v.17 no.1
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• pp.23-31
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• 2013

Elementary students can easy access to the smartphones and also can have been interested with them. Elementary learning tools to use smartphones are effective at the learning. So, Smartphones learning tools used in scientific experiments, the learning effect would be nice. Elementary school students to learn speed learning areas is a difficult concept. Therefore, the speed of learning application for smartphones is required. In this study, we develop a module for learning speed. This module that use the acceleration sensors of smart phones extract data from a given point in time, calculated by integrating speed. In addition, the distance is calculated. Students experiment at speed so that you can immediately see the changes in the module proposed in this study has the advantage. Measure the speed of the existing tools students again need to calculate the speed of a hassle to experiment and measured data values are separated. That the module proposed in this study is expected to be able to overcome the disadvantage.

• The Journal of Korea Institute of Information, Electronics, and Communication Technology
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• v.8 no.3
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• pp.239-242
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• 2015

In this paper, we propose a walking assisting system for blind people using Android smartphone and Arduino board. In our proposed system, we use an Android smartphone case and an external ultrasonic sensor to detect the obstacles ahead. In this manner, blind people is able to aware unexpected objects by smartphone speakers or vibration functionality. In addition, the walking assisting system is also designed a notice system which will be triggered by built-in smartphone camera flash when blind people walk in some darkness place. The experimental results from real experiments on blind people have demonstrated the applicability of our walking assisting system, when it not only efficiently helps blind people avoid obstacles ahead but also possible traffic collisions in darkness condition.

• Proceedings of the Korean Society of Computer Information Conference
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• 2013.01a
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• pp.173-174
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• 2013

최근 다양한 모바일 기기의 발달로 인하여 새로운 응용 애플리케이션의 기술력도 같이 성장하고 있다. 이런 성장과 더불어 게임 애플리케이션도 다양화 되고 있으나 고전게임, 그 중에서도 개발이 가장 빈약한 비행기 슈팅게임에 센서기능을 추가해서 화면터치만을 이용한 대부분의 게임 진행방식을 가속도 센서를 이용하여 비행기 기체를 움직일 수 있도록 다른 게임 애플리케이션과는 차이를 두었고, 또 JSON을 사용하여 로그인 및 회원가입 그리고 랭킹 시스템을 추가시켜 게임을 더 즐길 수 있도록 하였다. 이를 통해 중장년층에게 스마트폰의 새로운 기능인 센서와 스마트폰 게임 애플리케이션에 한층 가까워질 수 있는 계기를 제공하였다.