• Title/Summary/Keyword: 착용센서

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Ambulatory System for Context Awareness Using a Accelerometer Sensor (가속도센서를 이용한 상황인식 시스템)

  • Jin Gye-Hwan;Lee Sang-Bock;Choi Hun;Suh Jae-Won;Bae Hyeon-Deok;Lee Tae-Soo
    • The Journal of the Korea Contents Association
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    • v.5 no.5
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    • pp.287-295
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    • 2005
  • This paper describes user context awareness system, which is one of the most essential technologies in various application services of ubiquitous computing. The proposed system used two-akial accelerometer, embedded in SenseWear(R)PRO2 Armband (BodyMedia). When it was worn on the right upper arm of the experiment subjects, MAD (mean of absolute difference) value of the sensor data was calculated to quantify the amount of the wear's activity. Using this data, PC-based fuzzy inference system was realized to distinguish human motion states, such as, lying, sitting, walking and running and to recognize the restricted emergency situations. In laboratory experiment, the amount of activities for tying, sitting, walking and running were 0.204 g/s, 0.373 g/s, 2.808 g/s and 16.243 g/s respectively. The recognition rates of human motion states were 96.7 %, 93.0 %, 95.2 % and 98.4 % respectively for lying, sitting, walking and running. The recognition rate of restricted emergency situation was 100%.

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A Study of an MEMS-based finger wearable computer input devices (MEMS 기반 손가락 착용형 컴퓨터 입력장치에 관한 연구)

  • Kim, Chang-su;Jung, Se-hyun
    • Proceedings of the Korean Institute of Information and Commucation Sciences Conference
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    • 2016.05a
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    • pp.791-793
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    • 2016
  • In the development of various types of sensor technology, the general users smartphone, the environment is increased, which can be seen in contact with the movement recognition device, such as a console game machine (Nintendo Wii), an increase in the user needs of the action recognition-based input device there is a tendency to have. Mouse existing behavior recognition, attached to the outside, is mounted in the form of mouse button is deformed, the left mouse was the role of the right button and a wheel, an acceleration sensor (or a gyro sensor) inside to, plays the role of a mouse cursor, is to manufacture a compact, there is a difficulty in operating the button, to apply a motion recognition technology is used to operate recognition technology only pointing cursor is limited. Therefore, in this paper, using a MEMS-based motion-les Koguni tion sensor (Motion Recognition Sensor), to recognize the behavior of the two points of the human body (thumb and forefinger), to generate the motion data, and this to the foundation, compared to the pre-determined matching table (moving and mouse button events cursor), and generates a control signal by determining, were studied the generated control signal input device of the computer wirelessly transmitting.

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A Study on the Development of In-Socket Pressure Change Measurement Sensor for Estimation Locomotion Intention of Intelligent Prosthetic leg User (지능형 대퇴의족 사용자의 보행 의도 추정을 위한 소켓 내 압력 변화 측정 센서 개발에 관한 연구)

  • Park, Na-Yeon;Eom, Su-Hong;Lee, Eung-Hyuk
    • Journal of IKEEE
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    • v.26 no.2
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    • pp.249-256
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    • 2022
  • The prosthetic leg is a device that performs walking instead of a amputated lower limb, and require a change in locomotion mode by providing the user's intention to respond to a discontinuous locomotion environment. Research has been conducted to detect the users' intentions through biomechanical features inside the socket that directly contacts the cut site in demand for natural locomotion mode changes without external control equipment. However, there is still a need for a sensor system that is suitable for the internal environment of the main body and socket of the cut site. Accordingly, this paper proposed a film-type sensor system that is suitable for the main body characteristics of the cut site, is not affected by the temperature and humidity conditions inside the socket, and is easy to manufacture in various sizes. The proposed sensor is manufactured base on Velostat film and takes into account the pressure measurement characteristics that vary with size. Through the experiment, the change in the internal pressure of the socket due to the intentional posture performance of the wearer was measured, and the possibility of detecting the intention to change the locomotion mode was confirmed.

Design and Implementation of Emergency Recognition System based on Multimodal Information (멀티모달 정보를 이용한 응급상황 인식 시스템의 설계 및 구현)

  • Kim, Eoung-Un;Kang, Sun-Kyung;So, In-Mi;Kwon, Tae-Kyu;Lee, Sang-Seol;Lee, Yong-Ju;Jung, Sung-Tae
    • Journal of the Korea Society of Computer and Information
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    • v.14 no.2
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    • pp.181-190
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    • 2009
  • This paper presents a multimodal emergency recognition system based on visual information, audio information and gravity sensor information. It consists of video processing module, audio processing module, gravity sensor processing module and multimodal integration module. The video processing module and gravity sensor processing module respectively detects actions such as moving, stopping and fainting and transfer them to the multimodal integration module. The multimodal integration module detects emergency by fusing the transferred information and verifies it by asking a question and recognizing the answer via audio channel. The experiment results show that the recognition rate of video processing module only is 91.5% and that of gravity sensor processing module only is 94%, but when both information are combined the recognition result becomes 100%.

Effect of Fabric Sensor Type and Measurement Location on Respiratory Detection Performance (직물센서의 종류와 측정 위치가 호흡 신호 검출 성능에 미치는 효과)

  • Cho, Hyun-Seung;Yang, Jin-Hee;Lee, Kang-Hwi;Kim, Sang-Min;Lee, Hyeok-Jae;Lee, Jeong-Hwan;Kwak, Hwi-Kuen;Ko, Yun-Su;Chae, Je-Wook;Oh, Su-Hyeon;Lee, Joo-Hyeon
    • Science of Emotion and Sensibility
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    • v.22 no.4
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    • pp.97-106
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    • 2019
  • The purpose of this study was to investigate the effect of the type and measurement location of a fabric strain gauge sensor on the detection performance for respiratory signals. We implemented two types of sensors to measure the respiratory signal and attached them to a band to detect the respiratory signal. Eight healthy males in their 20s were the subject of this study. They were asked to wear two respiratory bands in turns. While the subjects were measured for 30 seconds standing comfortably, the respiratory was given at 15 breaths per minute were synchronized, and then a 10-second break; subsequently, the entire measurement was repeated. Measurement locations were at the chest and abdomen. In addition, to verify the performance of respiratory measurement in the movement state, the subjects were asked to walk in place at a speed of 80 strides per minute(SPM), and the respiratory was measured using the same method mentioned earlier. Meanwhile, to acquire a reference signal, the SS5LB of BIOPAC Systems, Inc., was worn by the subjects simultaneously with the experimental sensor. The Kruskal-Wallis test and Bonferroni post hoc tests were performed using SPSS 24.0 to verify the difference in measurement performances among the group of eight combinations of sensor types, measurement locations, and movement states. In addition, the Wilcoxon test was conducted to examine whether there are differences according to sensor type, measurement location, and movement state. The results showed that the respiratory signal detection performance was the best when the respiratory was measured in the chest using the CNT-coated fabric sensor regardless of the movement state. Based on the results of this study, we will develop a chest belt-type wearable platform that can monitor the various vital signal in real time without disturbing the movements in an outdoor environment or in daily activities.

Pulse wave analysis system using wrist type oximeter for u-Health service (u-Health 서비스 지원을 위한 착용형 옥시미터를 이용한 맥파 분석 시스템)

  • Jung, Sang-Joong;Seo, Yong-Su;Chung, Wan-Young
    • Journal of Sensor Science and Technology
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    • v.19 no.1
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    • pp.17-24
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    • 2010
  • This paper describes a real time reliable monitoring method and analysis system using wrist type oximeter for ubiquitous healthcare service based on IEEE 802.15.4 standard. Photoplethysmograph(PPG) is simple and cost effective technique to measure blood volume change. In order to obtain and monitor physiological body signals continuously, a small size and low power consumption wrist type oximeter is designed for the measurement of oxygen saturation of a patient unobtrusively. The measured data is transferred to a central PC or server computer by using wireless sensor nodes in wireless sensor network for storage and analysis purposes. LabVIEW server program is designed to monitor stress indicator from heart rate variability(HRV) and process the measured PPG to accelerated plethysmograph(APG) by appling second order derivatives in server PC. These experimental results demonstrate that APG can precisely describe the features of an individual's PPG and be used as estimation of vascular elasticity for blood circulation.

Crash Discrimination Algorithm with Two Crash Severity Levels Based on Seat-belt Status (안전띠 착용 유무에 근거한 두 단계의 충돌 가혹도 수준을 갖는 충돌 판별 알고리즘)

  • 박서욱;이재협
    • Transactions of the Korean Society of Automotive Engineers
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    • v.11 no.2
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    • pp.148-156
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    • 2003
  • Many car manufacturers have frequently adopted an aggressive inflator and a lower threshold speed for airbag deployment in order to meet an injury requirement for unbolted occupant at high speed crash test. Consequently, today's occupant safety restraint system has a weakness due to an airbag induced injury at low speed crash event. This paper proposes a new crash algorithm to improve the weakness by suppressing airbag deployment at low speed crash event in case of belted condition. The proposed algorithm consists of two major blocks-crash severity algorithm and deployment logic block. The first block decides crash severity with two levels by means of velocity and crash energy calculation from acceleration signal. The second block implemented by simple AND/OR logic combines the crash severity level and seat belt status information to generate firing commands for airbag and belt pretensioner. Furthermore, it can be extended to adopt additional sensor information from passenger presence detection sensor and safing sensor. A simulation using real crash data for a 1,800cc passenger vehicle has been conducted to verify the performance of proposed algorithm.

A Study on Implementation of System Improvement for Medical Information Processing (의료정보처리를 위한 시스템 개선에 관한 연구)

  • Yoo, Jinho
    • Journal of Digital Convergence
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    • v.14 no.11
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    • pp.283-288
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    • 2016
  • This research is to study IoT based implementation of system and network for medical information processing. This paper's configuration environment consists of sensor node, gateway and server node as a basic IoT architecture. Medical terminal as a sensor node asks connect request to his server, and the server accepts the request if the medical device is already registered. Wearable medical device sends its collected sensing data to server, and server processes the received data for data visualization or saves them for usage in the future. This paper describes overall processes and their algorithms and suggests their software processing architecture.

Study of fall detection for the elderly based on long short-term memory(LSTM) (장단기 메모리 기반 노인 낙상감지에 대한 연구)

  • Jeong, Seung Su;Yu, Yun Seop
    • Proceedings of the Korean Institute of Information and Commucation Sciences Conference
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    • 2021.05a
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    • pp.249-251
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    • 2021
  • In this paper, we introduce the deep-learning system using Tensorflow for recognizing situations that can occur fall situations when the elderly are moving or standing. Fall detection uses the LSTM (long short-term memory) learned using Tensorflow to determine whether it is a fall or not by data measured from wearable accelerator sensor. Learning is carried out for each of the 7 behavioral patterns consisting of 4 types of activity of daily living (ADL) and 3 types of fall. The learning was conducted using the 3-axis acceleration sensor data. As a result of the test, it was found to be compliant except for the GDSVM(Gravity Differential SVM), and it is expected that better results can be expected if the data is mixed and learned.

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Fabrication of Strain Sensor Based on Graphene/Polyurethane Nanoweb and Respiration Measurement (그래핀/폴리우레탄 나노웹 기반의 스트레인센서 제작 및 호흡측정)

  • Lee, Hyocheol;Cho, Hyeon-seon;Lee, Eugene;Jang, Eunji;Cho, Gilsoo
    • Science of Emotion and Sensibility
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    • v.22 no.1
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    • pp.15-22
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    • 2019
  • The purpose of this study is to develop a strain sensor based on a nanoweb by applying electrical conductivity to a polyurethane nanoweb through the use of Graphene. For this purpose, 1% Graphene ink was pour-coated on a polyurethane nanoweb and post-treated with PDMS (Polydimethylsiloxane) to complete a wearable strain sensor. The surface characteristics of the specimens were evaluated using a field emission scanning electron microscope (FE-SEM) to check whether the conductive material was well coated on the surface of the specimen. Electrical properties of the specimens were measured by using a multimeter to measure the linear resistance of the specimen and comparing how the line resistance changes when 5% and 10% of the specimens are tensioned, respectively. In order to evaluate the performance of the specimen, the gauge factor was obtained. The evaluation of the clothing was performed by attaching the completed strain sensor to the dummy and measuring the respiration signal according to the tension using MP150 (Biopac system Inc., USA) and Acqknowledge (ver. 4.2, Biopac system Inc., U.S.A.). As a result of the evaluation of the surface characteristics, it was confirmed that all the conductive nanoweb specimen were uniformly coated with the Graphen ink. As a result of measuring the resistance value according to the tensile strength, the specimen G, which was treated with just graphene had the lowest resistance value, the specimen G-H had the highest resistance value, and the change of the line resistance value of the specimen G and the specimen G-H is increased to 5% It is found that it increases steadily. Unlike the resistance value results, specimen G showed a higher gauge rate than specimen G-H. As a result of evaluation of the actual clothes, the strain sensor made using the specimen G-H measured the stable peak value and obtained a signal of good quality. Therefore, we confirmed that the polyurethane nanoweb treated with Graphene ink plays a role as a breathing sensor.