• Title/Summary/Keyword: Wearable Technology

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A Research for Interface Based on EMG Pattern Combinations of Commercial Gesture Controller (상용 제스처 컨트롤러의 근전도 패턴 조합에 따른 인터페이스 연구)

  • Kim, Ki-Chang;Kang, Min-Sung;Ji, Chang-Uk;Ha, Ji-Woo;Sun, Dong-Ik;Xue, Gang;Shin, Kyoo-Sik
    • Journal of Engineering Education Research
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    • v.19 no.1
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    • pp.31-36
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    • 2016
  • These days, ICT-related products are pouring out due to development of mobile technology and increase of smart phones. Among the ICT-related products, wearable devices are being spotlighted with the advent of hyper-connected society. In this paper, a body-attached type wearable device using EMG(electromyography) sensors is studied. The research field of EMG sensors is divided into two parts. One is medical area and another is control device area. This study corresponds to the latter that is a method of transmitting user's manipulation intention to robots, games or computers through the measurement of EMG. We used commercial device MYO developed by Thalmic Labs in Canada and matched up EMG of arm muscles with gesture controller. In the experiment part, first of all, various arm motions for controlling devices are defined. Finally, we drew several distinguishing kinds of motions through analysis of the EMG signals and substituted a joystick with the motions.

Wearable sensor network system for walking assistance

  • Moromugi, Shunji;Owatari, Hiroshi;Fukuda, Yoshio;Kim, Seok-Hwan;Tanaka, Motohiro;Ishimatsu, Takakazu;Tanaka, Takayuki;Feng, Maria Q.
    • 제어로봇시스템학회:학술대회논문집
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    • 2005.06a
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    • pp.2138-2142
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    • 2005
  • A wearable sensor system is proposed as a man-machine interface to control a device for walking assistance. The sensor system is composed of small sensors to detect the information about the user's body motion such as the activity level of skeletal muscles and the acceleration of each body parts. Each sensor includes a microcomputer and all the sensors are connected into a network by using the serial communication function of the microcomputer. The whole network is integrated into a belt made of soft fabric, thus, users can put on/off very easily. The sensor system is very reliable because of its decentralized network configuration. The body information obtained from the sensor system is used for controlling the assisting device to achieve a comfortable and an effective walking training.

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Flexible Thermoelectric Device Using Thick Films for Energy Harvesting from the Human Body

  • Cho, Han Ki;Kim, Da Hye;Sin, Hye Sun;Cho, Churl-Hee;Han, Seungwoo
    • Journal of the Korean Ceramic Society
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    • v.54 no.6
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    • pp.518-524
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    • 2017
  • A flexible thermoelectric device using body heat has drawn attention as a power source for wearable devices. In this study, thermoelectric thick films were fabricated by cold pressing method using p-type antimony telluride and n-type bismuth telluride powders in accordance with specific loads. Thermoelectric thick films were denser and improved the electrical and thermoelectric properties while increasing the load of the cold pressing. The thickness of the specimen can be controlled by the amount of material; specimens were approximately 700 um in thickness. Flexible thermoelectric devices were manufactured by using the thermoelectric thick films on PI (Polyimide) substrate. The process is cheap, efficient, easy and scalable. Evaluation of power generation performance and flexibility on the fabricated flexible thermoelectric device was carried out. The flexible thermoelectric device has great flexibility and good performance and can be applied to wearable electronics as a power source.

A Robust Wearable u-Healthcare Platform in Wireless Sensor Network

  • Lee, Seung-Chul;Chung, Wan-Young
    • Journal of Communications and Networks
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    • v.16 no.4
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    • pp.465-474
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    • 2014
  • Wireless sensor network (WSN) is considered to be one of the most important research fields for ubiquitous healthcare (u-healthcare) applications. Healthcare systems combined with WSNs have only been introduced by several pioneering researchers. However, most researchers collect physiological data from medical nodes located at static locations and transmit them within a limited communication range between a base station and the medical nodes. In these healthcare systems, the network link can be easily broken owing to the movement of the object nodes. To overcome this issue, in this study, the fast link exchange minimum cost forwarding (FLE-MCF) routing protocol is proposed. This protocol allows real-time multi-hop communication in a healthcare system based on WSN. The protocol is designed for a multi-hop sensor network to rapidly restore the network link when it is broken. The performance of the proposed FLE-MCF protocol is compared with that of a modified minimum cost forwarding (MMCF) protocol. The FLE-MCF protocol shows a good packet delivery rate from/to a fast moving object in a WSN. The designed wearable platform utilizes an adaptive linear prediction filter to reduce the motion artifacts in the original electrocardiogram (ECG) signal. Two filter algorithms used for baseline drift removal are evaluated to check whether real-time execution is possible on our wearable platform. The experiment results shows that the ECG signal filtered by adaptive linear prediction filter recovers from the distorted ECG signal efficiently.

Hand Gesture Recognition Suitable for Wearable Devices using Flexible Epidermal Tactile Sensor Array

  • Byun, Sung-Woo;Lee, Seok-Pil
    • Journal of Electrical Engineering and Technology
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    • v.13 no.4
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    • pp.1732-1739
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    • 2018
  • With the explosion of digital devices, interaction technologies between human and devices are required more than ever. Especially, hand gesture recognition is advantageous in that it can be easily used. It is divided into the two groups: the contact sensor and the non-contact sensor. Compared with non-contact gesture recognition, the advantage of contact gesture recognition is that it is able to classify gestures that disappear from the sensor's sight. Also, since there is direct contacted with the user, relatively accurate information can be acquired. Electromyography (EMG) and force-sensitive resistors (FSRs) are the typical methods used for contact gesture recognition based on muscle activities. The sensors, however, are generally too sensitive to environmental disturbances such as electrical noises, electromagnetic signals and so on. In this paper, we propose a novel contact gesture recognition method based on Flexible Epidermal Tactile Sensor Array (FETSA) that is used to measure electrical signals according to movements of the wrist. To recognize gestures using FETSA, we extracted feature sets, and the gestures were subsequently classified using the support vector machine. The performance of the proposed gesture recognition method is very promising in comparison with two previous non-contact and contact gesture recognition studies.

Research on Silicon Nanowire Transistors for Future Wearable Electronic Systems (차세대 웨어러블 전자시스템용 실리콘 나노선 트랜지스터 연구)

  • Im, Kyeungmin;Kim, Minsuk;Kim, Yoonjoong;Lim, Doohyeok;Kim, Sangsig
    • Vacuum Magazine
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    • v.3 no.3
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    • pp.15-18
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    • 2016
  • In future wearable electronic systems, 3-dimensional (3D) devices have attracted much attention due to their high density integration and low-power functionality. Among 3D devices, gate-all-around (GAA) nanowire transistor provides superior gate controllability, resulting in suppressing short channel effect and other drawbacks in 2D metal-oxide-semiconductor field-effect transistor (MOSFET). Silicon nanowires (SiNWs) are the most promising building block for GAA structure device due to their compatibility with the current Si-based ultra large scale integration (ULSI) technology. Moreover, the theoretical limit for subthreshold swing (SS) of MOSFET is 60 mV/dec at room temperature, which causes the increase in Ioff current. To overcome theoretical limit for the SS, it is crucial that research into new types of device concepts should be performed. In our present studies, we have experimentally demonstrated feedback FET (FBFET) and tunnel FET (TFET) with sub-60 mV/dec based on SiNWs. Also, we fabricated SiNW based complementary TFET (c-TFET) and SiNW complementary metal-oxide-semiconductor (CMOS) inverter. Our research demonstrates the promising potential of SiNW electronic devices for future wearable electronic systems.

Development and application of career experience programs for fashion majors using LED devices (LED 디바이스를 활용한 패션전공 진로체험 프로그램 개발 및 적용)

  • Paek, Kyung Ja
    • The Research Journal of the Costume Culture
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    • v.30 no.2
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    • pp.319-329
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    • 2022
  • This study started from the practical need for a career experience program in the fashion major that is creative and responds to current methodologies. The purpose of this study is to propose a fashion work experience program that combines digital technology and practical experience. The research methods and procedures were as follows: fashion items and wearable devices were selected, the LED smart bag program was developed, and it was executed. A total of 123 students participated in the program, and a satisfaction survey was conducted after observation and oral evaluation. All of the participants completed the LED smart bag processes of design ideation, material selection, production, and styling using an eco-bag (one of the fashion items and as an LED wearable device). As a result of the participants' satisfaction (on a 5-point scale), most items showed a high level of satisfaction of 4.39 points or more. The smart bag program was evaluated to increase interest based on the time allotted and the students' level and to bolster their understanding of, and interest in, the fashion major. Therefore, this study is expected to be baseline to explore diversification of the fashion major work experience program, in order to create interest in the fashion major based on creative convergence competency.

Activity recognition of stroke-affected people using wearable sensor

  • Anusha David;Rajavel Ramadoss;Amutha Ramachandran;Shoba Sivapatham
    • ETRI Journal
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    • v.45 no.6
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    • pp.1079-1089
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    • 2023
  • Stroke is one of the leading causes of long-term disability worldwide, placing huge burdens on individuals and society. Further, automatic human activity recognition is a challenging task that is vital to the future of healthcare and physical therapy. Using a baseline long short-term memory recurrent neural network, this study provides a novel dataset of stretching, upward stretching, flinging motions, hand-to-mouth movements, swiping gestures, and pouring motions for improved model training and testing of stroke-affected patients. A MATLAB application is used to output textual and audible prediction results. A wearable sensor with a triaxial accelerometer is used to collect preprocessed real-time data. The model is trained with features extracted from the actual patient to recognize new actions, and the recognition accuracy provided by multiple datasets is compared based on the same baseline model. When training and testing using the new dataset, the baseline model shows recognition accuracy that is 11% higher than the Activity Daily Living dataset, 22% higher than the Activity Recognition Single Chest-Mounted Accelerometer dataset, and 10% higher than another real-world dataset.

Fashionable Technology in Contemporary Fashion (현대패션에서 패셔너블 테크놀로지 연구)

  • Lee, Seo-Hee
    • The Journal of the Korea Contents Association
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    • v.9 no.1
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    • pp.246-253
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    • 2009
  • Technology and fashion are not as distant from each other as it might first seem. Early wearables were functional but awkward to wear and to look at. Today wearables are rapidly rising to meet the fashion world on its own terms by producing garments that are both stylish and comfortable. Personalization of wearables allows for new modes of self-expression, which is an essential factor in making fashion items that appeal to the public. Embedded technologies in the garment and the functionalities integrated into the electronic textiles influence the ‘wearability', comfort and the aesthetic of a fashionable wearable. Considering these factors is an essential part of the design process when creating user-centered fashionable wearables. Designers have to have a comprehensive understanding of the purpose, the user, the interaction, and in commercial applications, the right price point. An appealing design in combination with an intuitive interface will make for a successful fashionable wearable.

Study on the Applicability of the Air Cushion Material for Impact Relief through Thermal Bonding of High Strength Fabrics (고강력 직물의 열융착 라미네이팅을 통한 충격 완화용 에어쿠션 소재로의 적용 가능성 검토 연구)

  • Kim, Ji Yeon;Kim, Hun Min;Min, Mun Hong
    • Textile Coloration and Finishing
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    • v.32 no.3
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    • pp.176-183
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    • 2020
  • In order to study wearable air cushion materials capable of responding to massive impact in high-altitude fall situation, high tenacity woven fabrics were bonded by heat only depending on various type of thermoplastic films and then mechanical properties were measured. Tensile strength, elongation, and 100% modulus measurement results for 4 types of films show that TPU-2 has higher impact resistance and easier expansion than PET-1. After thermal bonding, the combination with the highest tensile strength was a material with a TPU-2 film for nylon and a PET-2 film for PET, so there was a difference by type of fabric. The tear strength of the bonded materials were increased compared to the fabric alone, which shows that durability against damage such as tearing can be obtained through film adhesion. All of the peel strengths exceeded the values required by automobile airbags by about 5 times, and the TPU-2 bonded fabric showed the highest value. The air permeability was 0 L/dm2 /min. For both the film and the bonded material, which means tightness between the fabric and the film through thermal bonding. It is expected to be applied as a wearable air cushion material by achieving a level of mechanical properties similar to or superior to that of automobile airbags through the method of bonding film and fabric by thermal bonding.