• Title/Summary/Keyword: Biometric

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Design of Service Delivery System for Stress Relief using Deep Learning Analysis Model (딥러닝 분석 모델 기반 스트레스 완화를 위한 서비스 제공 시스템 설계)

  • Kim, HyunJeong;Yoo, Seoyeon;Im, HyoGyeong;Kim, Kang-Gyoo;Yun, NaRi;Ha, Ok-Kyoon
    • Proceedings of the Korean Society of Computer Information Conference
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    • 2021.07a
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    • pp.535-536
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    • 2021
  • 현대의 스트레스 케어는 대부분 비디오 시청, 상담, 취미 활동 등을 통해 진행된다. 시각, 청각을 스트레스 케어에 활용한 사례는 이미 일상에서 쉽게 접할 수 있음으로 다른 새로운 감각을 요구하고 있다. 본 논문에서는 스트레스 케어를 목적으로, 생체정보를 대상으로 딥러닝 기술 기반의 '사용자 스트레스 및 효과적인 스트레스 해소 요소 판단 알고리즘 모델'을 사용하는 서비스 제공 시스템을 설계한다. 생체정보는 손목시계형 웨어러블을 통해 수집된 심박수, 혈압, 체온, 산소포화도, ECG 등 생체데이터를 사용한다. 제시하는 방법은 실시간으로 수집된 생체정보를 알고리즘, 모델을 통해 스트레스 수치를 예측하여 사용자에게 적절한 음악과 조명을 이용한 시청각적 요소와 아로마 요법을 이용한 후각적 요소를 제공한다.

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Design of Multi-Step Authentication Method using Blockchain (블록체인을 활용한 다단계 인증 기법 설계)

  • Kim, Semin;Hong, Sunghyuck
    • Proceedings of the Korean Institute of Information and Commucation Sciences Conference
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    • 2021.05a
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    • pp.292-294
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    • 2021
  • In this study, we designed an authentication method that can perform authentication again by loading authentication data using a blockchain and comparing it with the authentication data in the future. To this end, after passing through the conventional ID and password input method and the widely used ARS authentication method, authentication is performed using biometric data stored in each user's terminal. After going through these steps, we chose a method of comparing the previously stored chain data with the recently authenticated data to perform final authentication and then reloading the authenticated data into the chain data. It is expected that this study will be able to suggest various authentication methods.

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A Study on the Factors Influencing the Intention to Use Bio Pass at Airports through Innovation Resistance (혁신저항을 매개로 공항에서 바이오 패스의 사용의도에 영향을 미치는 요인분석)

  • Sung-Hoon Park;Jin-Woo Park
    • Journal of the Korean Society for Aviation and Aeronautics
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    • v.31 no.2
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    • pp.7-17
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    • 2023
  • In the era of the 4th industrial revolution, airports around the world are rapidly pushing for smart airports. One ID service based on biometric technology to eliminate congestion and improve airport operation efficiency is one of them. In particular, biopass, which allows you to use the entire journey with one single token without an ID card or boarding pass from arrival at the airport to boarding an aircraft, is emerging as an important technology for smart airports. This study conducted an empirical analysis to identify factors that affect the intention to use in two aspects: the acceptance, and rejection of bio-pass by combining UTAUT and the innovative resistance model. As a result of the study, it was found that the relative advantages and compatibility had a positive effect on the intention to use, and the perceived risk had a negative effect on the intention to use through innovation resistance. This suggests that infrastructure expansion and usage expansion are needed to use time more efficiently at airports, and that the government, airlines, and airport operators need to cooperate to strengthen the security system to relieve users' psychological anxiety.

A Study on Portable Weighing Scales Applicable to Poultry Farms (가금류 농장에 적용 가능한 이동식 중량 저울에 관한 연구)

  • Park, Sung Jin;Park, In Ji;Kim, Jin Young
    • Journal of the Korean Institute of Electrical and Electronic Material Engineers
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    • v.35 no.2
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    • pp.155-159
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    • 2022
  • Smart livestock, which combines information and communication technology (ICT) with livestock, can be said to be an effective solution to existing livestock problems such as productivity improvement, odors, and diseases. So far, it has hardly been universalized; thus, it is necessary to develop automation devices to reduce labor by localizing automation devices to expand the distribution of ICT technology to farms, and to advance precise specifications and health management technology using biometric information. Weighing scales currently being used in livestock farms are to prevent the spread of diseases by diagnosis and preparation for AI and other diseases in advance, using information on the growing weight of duck breeding. However, accurate values cannot be obtained due to poor breeding conditions. In this paper, we developed a separate data transmission system kit for the weighing scale and placed the sensor on top of the weighing scale so that the sensor wire is not affected by pollutants or ducks on the floor. A display function was provided, and a method of receiving and analyzing the serial port data of the weighing device, and then transmitting them to the data collection server was implemented.

Implementation and analysis of biometric information measurement method based on image processing (영상처리 기반 생체 정보 측정 방법 구현 및 분석)

  • Park, Tae-young;Bang, Seungcheol;Zhang, Junjun;Noh, Giseop
    • Proceedings of the Korean Institute of Information and Commucation Sciences Conference
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    • 2022.10a
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    • pp.37-39
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    • 2022
  • As the COVID-19 pandemic hits the world, the Tokyo Olympics in 2021 will be held behind closed doors. Some broadcasters showed the heart rate of the players in real time using image processing-based non-contact measurement to convey the vividness of the scene on TV. However, since the non-contact model uses changes in the skin color of the players' faces according to blood circulation as a parameter, there is a possibility that errors may occur due to interference factors such as natural light or glasses. Therefore, in this paper, the non-contact heart rate measurement model and the contact heart rate measurement model are tested in an environment free from interference and their accuracy is analyzed.

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Improvement of Digital Identify Proofing Service through Trend Analysis of Online Personal Identification

  • JongBae Kim
    • International Journal of Internet, Broadcasting and Communication
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    • v.15 no.4
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    • pp.1-8
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    • 2023
  • This paper analyzes the trends of identification proofing services(PIPSs) to identify and authenticate users online and proposes a method to improve PIPS based on alternative means of resident registration numbers in Korea. Digital identity proofing services play an important role in modern society, but there are some problems. Since they handle sensitive personal information, there is a risk of information leakage, hacking, or inappropriate access. Additionally, online service providers may incur additional costs by applying different PIPSs, which results in online service users bearing the costs. In particular, in these days of globalization, different PIPSs are being used in various countries, which can cause difficulties in international activities due to lack of global consistency. Overseas online PIPSs include expansion of biometric authentication, increase in mobile identity proofing, and distributed identity proofing using blockchain. This paper analyzes the trend of PIPSs that prove themselves when identifying users of online services in non-face-to-face overseas situations, and proposes improvements by comparing them with alternative means of Korean resident registration numbers. Through the proposed method, it will be possible to strengthen the safety of Korea's PIPS and expand the provision of more reliable identification services.

Using multi-sensor for Development of Multiple Occupants' Activities Classification Model Based on LSTM (다중센서를 활용한 LSTM 기반 재실자 행동 분류 모델 개발)

  • Jin Su Park;Chul Seung Yang;Kyung-Ho Kim
    • The Journal of the Convergence on Culture Technology
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    • v.9 no.6
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    • pp.1065-1071
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    • 2023
  • In this paper discuss with research developing an LSTM model for classifying the behavior of occupants within a residence. The multi-sensor consists of an IAQ (Indoor Air Quality) sensor that measures indoor air quality, a UWB radar that tracks occupancy detection and location, and a Piezo sensor to measure occupants' biometric information, and collects occupant behavior data such as going out, staying, cooking, cleaning, exercise, and sleep by constructed an experimental environment similar to the actual residential environment. After the data with removed outliers and missing, the LSTM model is used to calculate accuracy, sensitivity, specificity of the occupant behavior classification model, T1 score.

Implementation of Falling Accident Monitoring and Prediction System using Real-time Integrated Sensing Data

  • Bonghyun Kim
    • KSII Transactions on Internet and Information Systems (TIIS)
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    • v.17 no.11
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    • pp.2987-3002
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    • 2023
  • In 2015, the number of senior citizens aged 65 and over in Korea was 6,662,400, accounting for 13.1% of the total population. Along with these social phenomena, risk information related to the elderly is increasing every year. In particular, a fall accident caused by a fall can cause serious injury to an elderly person, so special attention is required. Therefore, in this paper, we implemented a system that monitors fall accidents and informs them in real time to minimize damage caused by falls. To this end, beacon-based indoor location positioning was performed and biometric information based on an integrated module was collected using various sensors. In other words, a multi-functional sensor integration module was designed based on Arduino to collect and monitor user's temperature, heart rate, and motion data in real time. Finally, through the analysis and prediction of measurement signals from the integrated module, damage from fall accidents can be reduced and rapid emergency treatment is possible. Through this, it is possible to reduce the damage caused by a fall accident, and rapid emergency treatment will be possible. In addition, it is expected to lead a new paradigm of safety systems through expansion and application to socially vulnerable groups.

Implementation of a Real-Time Biometric Monitoring System for an Elderly Living Alone (독거노인을 위한 실시간 생체 모니터링 시스템 구현)

  • Myeong-Chul Park;Ji-Hoon Lee;Gyung-Hwan Kim
    • Proceedings of the Korean Society of Computer Information Conference
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    • 2024.01a
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    • pp.255-256
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    • 2024
  • 고령화가 가속되면서 독거노인의 사회적 고립으로 인해 신체, 정신적 어려움이 발생하고 고독사하는 노인들의 수가 증가해 사회적 문제가 되고 있다. 또한 독거노인 관리를 위한 정부 인력은 한정되어 한 명이 담당해야 하는 사람의 수가 너무 많아 수많은 독거노인의 안전과 복지를 보장하는 데 현실적인 어려움이 있다. 이에 따라 본 논문에서는 독거노인의 안전과 복지를 책임지기 위해 IoT와 각종 센서를 활용하여 생체 정보를 수집하는 웨어러블 기기를 제작하고 데이터베이스 서버를 활용한 IT 인프라 구축을 통해 적은 인력으로 효율적인 의료 지원을 목표로 한다. 본 논문은 독거노인의 거주 환경에서 생체 데이터를 수집하고 이를 효과적으로 분석하여 컴퓨터를 통해 실시간으로 모니터링이 가능하다. 이는 고독사 상황을 사전에 감지할 뿐만 아니라 노인들의 일상생활에서 발생할 수 있는 위험 상황에 즉각적인 대처를 통해 독거노인의 안전 및 복지 수준 향상에 기여하고 나아가 소외 계층의 의료 환경 개선에 도움이 될 것으로 예측된다.

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Comparison of GEE Estimation Methods for Repeated Binary Data with Time-Varying Covariates on Different Missing Mechanisms (시간-종속적 공변량이 포함된 이분형 반복측정자료의 GEE를 이용한 분석에서 결측 체계에 따른 회귀계수 추정방법 비교)

  • Park, Boram;Jung, Inkyung
    • The Korean Journal of Applied Statistics
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    • v.26 no.5
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    • pp.697-712
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    • 2013
  • When analyzing repeated binary data, the generalized estimating equations(GEE) approach produces consistent estimates for regression parameters even if an incorrect working correlation matrix is used. However, time-varying covariates experience larger changes in coefficients than time-invariant covariates across various working correlation structures for finite samples. In addition, the GEE approach may give biased estimates under missing at random(MAR). Weighted estimating equations and multiple imputation methods have been proposed to reduce biases in parameter estimates under MAR. This article studies if the two methods produce robust estimates across various working correlation structures for longitudinal binary data with time-varying covariates under different missing mechanisms. Through simulation, we observe that time-varying covariates have greater differences in parameter estimates across different working correlation structures than time-invariant covariates. The multiple imputation method produces more robust estimates under any working correlation structure and smaller biases compared to the other two methods.