• ETRI Journal
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• v.38 no.4
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• pp.776-786
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• 2016

The fairly recent standard of equipping mobile devices with advanced imaging sensors has opened the possibility of conveniently diagnosing skin conditions, anywhere, anytime. For this application, we attempted to estimate skin conditions from a skin image taken by a mobile handheld camera. To estimate the skin conditions, we specifically identified three skin features (pigmentation, pores, and roughness) that can be measured quantitatively from a skin image. The experimental data indicate that the existing thresholding methods are inappropriate for extracting the pigmentation and pore skin features. Thus, we propose a new line-fitting based thresholding method for skin feature detection. We thoroughly evaluated our proposed skin condition estimation method using our skin image database. The experimental results show that our proposed thresholding method can better determine the threshold leading to the most visually plausible detection, when compared to existing methods. We also confirmed that skin conditions can be feasibly estimated using a common mobile handheld camera (for example, a smartphone).

• Journal of Korea Multimedia Society
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• v.18 no.8
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• pp.935-942
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• 2015

According to growing of the plant cultivation in a greenhouse environment, the demand of a system to control the greenhouse easier has increased. Currently, the methods to control by the mobile App represent the information in a greenhouse environment with a simple numerical data or compose only the contents with a limited degree of freedom. In order to solve these problems, this paper presents a system that can be viewed or controlled greenhouse conditions in near / remote distance using augmented reality and MQTT communication protocol, RTSP media streaming protocol. The proposed method is implemented in Android smartphone environment and acts monitoring the information (temperature, humidity, illuminance) obtained by greenhouse's sensors and transmits the real time greenhouse's video using RTSP in the remote distance, and controls the values of temperature, humidity, illuminance for the greenhouse using the augmented reality in the near distance.

• Annual Conference of KIPS
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• 2017.04a
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• pp.1228-1231
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• 2017

The development of ICT brings the change in daily life and the digitized data are increasing in usage. The combination between GPS and internet results in extensive diffusion of space related information by way of smartphone, sensor and SNS. Jeju Island is only one special self-governing province in Republic of Korea and deserves to be proud of the unique culture, having those designated Intangible Cultural Heritage from UNESCO such as Culture of Jeju Haenyeo or Women Divers and Jeju Chilmeoridang Yeongdeunggut or Exorcism of Praying big Catch. In this paper, I suggest how to preserve fadable tradition economically and technically and expect to develop Haenyeo fitted portable sensors and IoT platform.

• International Journal of Advanced Culture Technology
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• v.5 no.2
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• pp.98-105
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• 2017

Smartphones are fast growing in the IT market and are the most influential devices in our daily life. Smartphones are being studied for their use in body sensor networks with excellent processing power and wireless communication technology. In this paper, we propose a coordinator design that provides data collection, classification, and display using based on Android-smartphone in multiple sensor nodes. The coordinator collects data of sensor nodes that measure biological patterns using wireless communication technologies such as Bluetooth and NFC. The coordinator constructs a network using a multiple-level scheduling algorithm for efficient data collection at multiple sensor nodes. Also, to support different protocols between heterogeneous sensors, a data sheet recording wireless communication protocol information is used. The designed coordinator used Arduino to test the performance of multiple sensor node environments.

• Proceedings of the Korean Institute of Information and Commucation Sciences Conference
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• 2017.05a
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• pp.581-583
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• 2017

스마트폰에 내장된 중력 센서, 가속도 센서, 자이로 센서, GPS 등을 이용해 행동 패턴을 학습시킨다. 이로부터 축구 경기를 하는 이용자의 행동을 분석하여 선수의 경기에 대한 평점과 알맞은 포지션을 추천해주는 스마트폰 어플리케이션을 개발한다. 본 연구는 전문 장비 없이 선수들이 자신의 경기를 분석할 수 있도록 개발되었으며, 실험결과 원하는 정보들을 산출할 수 있었다.

• Journal of the Semiconductor & Display Technology
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• v.17 no.1
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• pp.88-92
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• 2018

Currently drone industry has become one of the fast growing markets and the technology for unmanned aerial vehicles are expected to continue to develop at a rapid rate. Especially small unmanned aerial vehicle systems have been designed and utilized for the various field with their own specific purposes. In these fields the path planning problem to find the shortest path between two oriented points is important. In this paper we introduce a path planning strategy for an autonomous flight of unmanned aerial vehicles through reinforcement learning with self-positioning technique. We perform Q-learning algorithm, a kind of reinforcement learning algorithm. At the same time, multi sensors of acceleraion sensor, gyro sensor, and magnetic are used to estimate the position. For the functional evaluation, the proposed method was simulated with virtual UAV environment and visualized the results. The flight history was based on a PX4 based drones system equipped with a smartphone.

• Proceedings of the Korean Institute of Information and Commucation Sciences Conference
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• 2016.10a
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• pp.794-797
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• 2016

This paper proposed the smart graden veranda system using the Arduino which is an open hardware controllers and sensors. It is designed automatically controls the watering and lighting. This system is not already massive cultivation systems, such as the existing plant factory that is a lot of leverage Considering that used in the interior, such as apartments and functionality were of course perform the design considering the aesthetic, recently spotlighted receive Internet of Things technology for this and it was carried out with the development of automated equipment using a smartphone app.

• International Journal of Computer Science & Network Security
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• v.21 no.2
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• pp.221-228
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• 2021

Recent improvements on the quality, fidelity and availability of biometric data have led to effective human physical activity detection (HPAD) in real time which adds significant value to applications such as human behavior identification, healthcare monitoring, and user authentication. Current approaches usually use machine-learning techniques for human physical activity recognition based on the data collected from wearable accelerometer sensor from a single wearable smart device on the user. However, collecting data from a single wearable smart device may not provide the complete user activity data as it is usually attached to only single part of the user's body. In addition, in case of the absence of the single sensor, then no data can be collected. Hence, in this paper, a continuous HPAD will be presented to effectively perform user activity detection with mobile service infrastructure using multiple wearable smart devices, namely smartphone and smartwatch placed in various locations on user's body for more accurate HPAD. A case study on a comprehensive dataset of classified human physical activities with our HAPD approach shows substantial improvement in HPAD accuracy.

• International Journal of Computer Science & Network Security
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• v.22 no.4
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• pp.237-244
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• 2022

Eco-driving of vehicles today presents an advantage that aims to reduce energy consumption and limit CO2 emissions. The application for this option is possible to older vehicles. In this paper, we propose an efficient implementation for IoT (Internet of Things) system for controlling vehicle components that affect the quality of driving (acceleration, braking, clutch, gear change) via Smartphone using Wi-Fi and BLE as communication protocol. The user can see in real-time data from sensors that control driver action on vehicle driving systems such as acceleration, braking, and vehicle shifting through a web interface. Thanks to this communication, the user can control his driving quality and, hence, eco-driving can be achieved

• Journal of Korea Multimedia Society
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• v.25 no.7
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• pp.932-944
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• 2022

Smartphones, are currently equipped with high-performance hardware to process large amounts of data and provide most of the functions provided by desktop PCs. In addition, the smartphones enable quick user authentication through biometric information collected from embedded sensors. However, the biometric authentication method is sometimes rejected due to social and cultural environment, security vulnerabilities, and misrecognition rate. Thus, conventional authentication methods such as PIN and pattern authentication are still mainly used. Consider the latest foldable and bendable smartphones. These devices may be vulnerable to social engineering attacks as they use conventional authentication methods without considering their form factors. In this study, therefore, we propose an authentication method using partial elements of PIN and pattern authentication as a way to increase the security of the conventional authentication methods and consider the recent form factors. According to the performance evaluation results, our method provides improved safety compared to the conventional methods.