• Title/Summary/Keyword: Wearable Sensors

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Recent Advances in Electrochromic Sensors (전기화학 기반의 전기 변색 센서 연구 동향)

  • Seo, Minjee
    • Journal of the Korean Electrochemical Society
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    • v.25 no.4
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    • pp.125-133
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    • 2022
  • Along with the increasing need for point-of-care diagnostics, development of portable, user-friendly, as well as sensitive sensors have gained intensive attention. Among various strategies, electrochromic sensors, which are electrochemically operated colorimetric sensors, have been actively studied. With their ability to report the presence and concentration of analytes by optical signals, electrochromic sensors utilize the advantages of both electrochemical and colorimetric sensors, enabling the simplification of device composition as well as convenient interpretation of results. Up to date, electrochromic sensors have been applied for a wide range of analytes, and further developments such as the introduction of flexible platforms or self-powered systems have been reported, providing a path towards the development of wearable sensor devices. In this review, various types of electrochromic sensors, according to the main strategy in which the electrochemical signals are converted to colorimetric signals, are introduced.

Step detection using accelerometer sensor on mobile phone

  • Thang, Hoang Minh;Viet, Vo Quang;Choi, Deok-Jai
    • Proceedings of the Korea Multimedia Society Conference
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    • 2012.05a
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    • pp.83-85
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    • 2012
  • Gait analysis through wearable sensors is becoming a key research topic in mobile. In gait analysis, step detection is one of the most important processes that will lay down the foundation for future implementation. In this paper, we will propose a simpler algorithm to determine and analyze the steps using accelerometer sensor built-in mobile phone that physically placed into the trouser pocket. This is the location where most of mobile devices are. With 5 volunteers walking in 160 seconds, the accuracy of this method is approximately 98.5%.

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Piezoelectric Nanogenerators: Energy Harvesting Technology (압전 나노발전기: 에너지 수확 기술)

  • Shin, Dong-Myeong;Hwang, Yoon-Hwae
    • Vacuum Magazine
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    • v.3 no.2
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    • pp.17-20
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    • 2016
  • Piezoelectric nanogenerators are energy harvesting device to convert a mechanical energy into an electric energy using nanostructured piezoelectric materials. This review summarizes works to date on piezoelectric nanogenerators, starting with a basic theory of piezoelectricity and working mechanism, and moving through the reports of numerous nanogenerators using nanorod arrays, flexible substrates and alternative materials. A sufficient power generated from nanogenerators suggests feasible applications for either power supplies or strain sensors of highly integratedl nano devices. Further development of nanogenerators holds promise for the development of self-powered implantable and wearable electronics.

System Architecture of Atopic Dermatitis Adjuvant for Children Using Wireless Sensor

  • Balitana, Maricel O.;Kim, Seok-Soo
    • International Journal of Contents
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    • v.4 no.2
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    • pp.1-6
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    • 2008
  • Pre schools with state of the art facilities that would provide not just academic excellence but also ensure the safety and provide efficient healthcare to their pupils relative to Atopic Dermatitis with Asthma is the main objective of this research One of the most promising applications of sensor networks is for human healthcare monitoring. Due to recent technological advances in sensor, low power microelectronics and miniaturization, and wireless networking enable the design and proliferation of this wireless sensor networks capable of autonomously monitoring and controlling environments. Thus, this research presents the utilization of such microelectronic sensor and plots the hardware and software architecture of a wireless sensor network system with real-time pupil monitoring that integrates vital sign sensors, location sensor and allergen sensor. This proposed architecture for wearable sensors can be used as active tags which can track pupil's location within the school's premises, identify possible atopic dermatitis with asthma allergens, it would monitor and generate a health status report of the pupil.

Nanoplasmonics: An Enabling Platform for Integrated Photonics and Biosensing

  • Lee, Jihye;Yeo, Jong-Souk
    • Applied Science and Convergence Technology
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    • v.25 no.1
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    • pp.7-14
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    • 2016
  • Nanoplasmonics is a developing field that offers attractive optical, electrical, and thermal properties for a wide range of potential applications. Based on the compelling characteristics of this field, researchers have shed light on the possibilities of integrated photonics and biosensing platforms using nanoplasmonic principles. Single and unique nanostructures with plasmons can act as individual transducers that convert desired information into measurable and readable signals. In this review, we will discuss nanoplasmonic sensors, especially those in relation to photodetectors for future optical interconnects, and bioinformation sensing platforms based on nanoplasmonics, thus providing a viable approach by which to create sensors corresponding to target applications. In addition, we also discuss scalable fabrication processes for the creation of unconventional nanoplasmonic devices, which will enable next-generation plasmonic devices for wearable, flexible, and biocompatible systems.

Human Stress Monitoring through Measurement of Physiological Signals (생체 신호 측정을 통한 스트레스 모니터링)

  • Natsagdorj, Ulziibayar;Moon, Kwang-Seok;Park, Hanhoon
    • Journal of the Institute of Convergence Signal Processing
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    • v.20 no.1
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    • pp.9-15
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    • 2019
  • As the human population increases in the world, the ratio of health doctors is rapidly decreasing. Therefore, it is an urgent need to create new technologies to monitor the physical and mental health of people during their daily life. In particular, negative mental states like depression and anxiety are big problems in modern societies. Usually this happens due to stressful situations during everyday activities including work. This paper presents a machine learning approach to reliably estimating the level of human mental stress using wearable physiological sensors. And also, this paper presents an Android- and Arduino-based stress monitoring and relief system.

One-Step Nanoscale Patterning of Silver Ionic Ink via Elastic Mold Deformation (탄성 몰드 변형을 이용한 은 이온 잉크의 원-스텝 나노스케일 패터닝)

  • Yong Suk Oh
    • Journal of Sensor Science and Technology
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    • v.32 no.4
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    • pp.252-256
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    • 2023
  • A one-step method for nanoscale patterning of silver ionic ink on a substrate is developed using a microscale, elastic mold deformation. This method yields unique micro/nanoscale metallic structures that differ from those produced using the original molds. The linewidth of these metallic structures is significantly reduced (approximately 10 times) through the sidewall deformation of the original mold cavity on a thin liquid film, as verified by finite element analysis. The process facilitates the fabrication of various, isolated and complex micro/nanoscale metallic structures with negligible residual layers at low cost and high throughput. These structures can be utilized for various applications, including optoelectronics, wearable sensors, and metaverse-related devices. Our approach offers a promising tool for manipulation and fabrication of micro/nanoscale structures of various functional materials.

Ballistocardiographical Heart Rate Measurement Using Head Mounted 6-axis Accelerometer (머리 착용형 6축 가속도계를 사용한 심탄도 심박수 측정)

  • Jinman Kim;Joongjin Kook
    • Journal of the Semiconductor & Display Technology
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    • v.23 no.2
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    • pp.33-37
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    • 2024
  • Recently, wearable virtual reality devices are widely used. These instruments include a 3-axis accelerometer. User's heart rate information in virtual reality contents can be useful for measuring user experience. In this paper, we propose a method to measure the heart rate through a 3-axis accelerometer based on the principle of ballistocardiography without additional sensors. The angular velocity was successively measured in a time series by the 3-axis accelerometer mounted to the head. The frequency of the maximum magnitude is determined as the heart rate through frequency transform and band pass filtering of the time series signal. For verification, the heart rate calculated from photoplethysmography sensors acquired at the same time was compared as ground-truth. In the virtual reality, the user's heart rate information can be extracted without additional heart rate sensor, and the emotional state and fatigue can be measured.

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