• Title/Summary/Keyword: Wearable Sensor

Search Result 395, Processing Time 0.02 seconds

Fabrication of Vertically Oriented ZnO Micro-crystals array embedded in Polymeric matrix for Flexible Device (수열합성을 이용한 ZnO 마이크로 구조의 성장 및 전사)

  • Yang, Dong Won;Lee, Won Woo;Park, Won IL
    • Journal of the Microelectronics and Packaging Society
    • /
    • v.24 no.4
    • /
    • pp.31-37
    • /
    • 2017
  • Recently, there has been substantial interest in flexible and wearable devices whose properties and performances are close to conventional devices on hard substrates. Despite the advancement on flexible devices with organic semiconductors or carbon nanotube films, their performances are limited by the carrier scattering at the molecular to molecular or nanotube-to-nanotube junctions. Here in this study, we demonstrate on the vertical semiconductor crystal array embedded in flexible polymer matrix. Such structures can relieve the strain effectively, thereby accommodating large flexural deformation. To achieve such structure, we first established a low-temperature solution-phase synthesis of single crystalline 3D architectures consisting of epitaxially grown ZnO constituent crystals by position and growth direction controlled growth strategy. The ZnO vertical crystal array was integrated into a piece of polydimethylsiloxane (PDMS) substrate, which was then mechanically detached from the hard substrate to achieve the freestanding ZnO-polymer composite. In addition, the characteristics of transferred ZnO were confirmed by additional structural and photoluminescent measurements. The ZnO vertical crystal array embedded in PDMS was further employed as pressure sensor that exhibited an active response to the external pressure, by piezoelectric effect of ZnO crystal.

Maximum Power Point Tracking Method Without Input side Voltage and current Sensor of DC-DC Converter for Thermoelectric Generation (열전발전을 위한 DC-DC Converter의 입력측 전압·전류 센서없는 최대전력점 추적방식)

  • Kim, Tae-Kyung;Park, Dae-Su;Oh, Sung-Chul
    • Journal of the Korea Academia-Industrial cooperation Society
    • /
    • v.21 no.3
    • /
    • pp.569-575
    • /
    • 2020
  • Recently, research on renewable energy technologies has come into the spotlight due to rising concerns over the depletion of fossil fuels and greenhouse gas emissions. Demand for portable electronic and wearable devices is increasing, and electronic devices are becoming smaller. Energy harvesting is a technology for overcoming limitations such as battery size and usage time. In this paper, the V-I characteristic curve and internal resistance of thermal electric devices were analyzed, and MPPT control methods were compared. The Perturbation and Observation (P&O) control method is economically inefficient because two sensors are required to measure the voltage and current of a Thermoelectric Generator(TEG). Therefore, this paper proposes a new MPPT control method that tracks MPP using only one sensor for the regulation of the output voltage. The proposed MPPT control method uses the relationship between the output voltage of the load and the duty ratio. Control is done by periodically sampling the output voltage of the DC-DC converter to increase or decrease the duty ratio to find the optimal duty ratio and maintain the MPP. A DC-DC converter was designed using a cascaded boost-buck converter, which has a two-switch topology. The proposed MPPT control method was verified by simulations using PSIM, and the results show that a voltage, current, and power of V=4.2 V, I=2.5 A, and P=10.5 W were obtained at the MPP from the V-I characteristic curve of the TEG.

Study on the Piezoelectric Energy Harvesting Technology for the Energy Conversion of Vibration in Automobiles (자동차 진동 에너지 변환을 위한 압전 에너지 하베스팅에 관한 연구)

  • Lee, Hyeon Yeong;Kim, Kwangwon;Ye, Jiwon;Woo, Suhyeon;Lee, Geon;Lee, Seungah;Jeong, Seong Rok;Jeong, Seon Hye;Kim, Ho Seong;Nam, Ga Hyeon;Jo, Yun Yeong;Choi, Han Seung;Ryu, Jungho
    • Journal of the Korean Institute of Electrical and Electronic Material Engineers
    • /
    • v.34 no.6
    • /
    • pp.495-504
    • /
    • 2021
  • Energy Harvesting is a technology that can convert wasted energy such as vibration, heat, light, electromagnetic energy, etc. into usable electrical energy. Among them, vibration-based piezoelectric energy harvesting (PEH) has high energy conversion efficiency with a small volume; thus, it is expected to be used in various autonomous powering devices, such as implantable medical devices, wearable devices, and energy harvesting from road or automobiles. In this study, wasted vibration energy in an automobile is converted into electrical energy by high-power piezoelectric materials, and the generated electrical energy is found to be an auxiliary power source for the operation of wireless sensor nodes, LEDs, etc. inside an automobile. In order to properly install the PEH in an automobile, vibration characteristics includes frequency and amplitude at several positions in the automobile is monitored initially and the cantilever structured PEH was designed accordingly. The harvesting properties of fabricated PEH is characterized and installed into the engine part of the automobile, where the vibration amplitude is stable and strong. The feasibility of PEH is confirmed by operating electric components (LEDs) that can be used in practice.

Principal Component analysis based Ambulatory monitoring of elderly (주성분 분석 기반의 노약자 응급 모니터링)

  • Sharma, Annapurna;Lee, Hoon-Jae;Chung, Wan-Young
    • Journal of the Korea Institute of Information and Communication Engineering
    • /
    • v.12 no.11
    • /
    • pp.2105-2110
    • /
    • 2008
  • Embedding the compact wearable units to monitor the health status of a person has been analysed as a convenient solution for the home health care. This paper presents a method to detect fall from the other activities of daily living and also to classify those activities. This kind of ambulatory monitoring of the elderly and people with limited mobility can not only provide their general health status but also alarms whenever an emergency such as fall or gait has been occurred and a help is needed. A timely assistance in such a situation can reduce the loss of life. This work shows a detailed analysis of the data received from a chest worn sensor unit embedding a 3-axis accelerometer and depicts which features are important for the classification of human activities. How to arrange and reduce the features to a new feature set so that it can be classified using a simple classifier and also improving the classification resolution. Principal component analysis (PCA) has been used for modifying the feature set and afterwards for reducing the size of the same. Finally a Neural network classifier has been used to analyse the classification accuracies. The accuracy for detection of fall events was found to be 86%. The overall accuracy for the classification of Activities or daily living (ADL) and fall was around 94%.

Recent Progress of Ti3Ci2Tix MXene Electrode Based Self-Healing Application (Ti3Ci2Tix MXene 기반 전극 소재의 자가 치유 적용 기술 개발 동향)

  • Jun Sang Choi;Seung-Boo Jung;Jong-Woong Kim
    • Journal of the Microelectronics and Packaging Society
    • /
    • v.30 no.3
    • /
    • pp.20-34
    • /
    • 2023
  • Single or multi-layered two-dimensional (2D) materials, with thicknesses in the order of a few nanometers, have garnered substantial attention across diverse research domains owing to their distinct properties, including electrical conductivity, flexibility, and optical transparency. These materials are frequently subjected to repetitive mechanical actions in applications like electronic skin (E-Skin) and smart textiles. Moreover, they are often exposed to external factors like temperature, humidity, and pressure, which can lead to a deterioration in component durability and lifespan. Consequently, significant research efforts are directed towards developing self-healing properties in these components. Notably, recent investigations have revealed promising outcomes in the field of self-healing composite materials, with Ti3Ci2Tix MXene being a prominent component among the myriad of available 2D materials. In this paper, we aim to introduce various synthesis methods and characteristics of Ti3Ci2Tix MXene, followed by an exploration of self-healing application technologies based on Ti3Ci2Tix MXene.