• 제목/요약/키워드: Smart shoes

검색결과 30건 처리시간 0.028초

관성센서 기반 신발형 보행 분석기의 신뢰성 연구 (Reliability of 3D-Inertia Measurement Unit Based Shoes in Gait Analysis)

  • 주지용;김영관;박재영
    • 한국운동역학회지
    • /
    • 제25권1호
    • /
    • pp.123-130
    • /
    • 2015
  • Purpose : The purpose of this study was to investigate the reliability of 3D-inertia measurement unit (IMU) based shoes in gait analysis. This was done with respect to the results of the optical motion capturing system and to collect reference gait data of healthy subjects with this device. Methods : The Smart Balance$^{(R)}$ system of 3D-IMU based shoes and Osprey$^{(R)}$ motion capturing cameras were used to collect motion data simultaneously. Forty four healthy subjects consisting of individuals in 20s (N=20), 40s (N=13), and 60s (N=11) participated in this study voluntarily. They performed natural walking on a treadmill for one minute at 4 different target speeds (3, 4, 5, 6 km/h), respectively. Results : Cadence (ICC=.998), step length (ICC=.970), stance phase (ICC=.845), and double-support phase (ICC=.684) from 3D-IMU based shoes were in agreement with results of optical motion system. Gait data of healthy subjects according to different treadmill speeds and ages were matched to previous literature showing increased cadence and reduced step length for elderly subjects. Conclusion : Conclusively, 3D-IMU based shoes in gait analysis were a satisfactory alternative option in measuring linear gait parameters.

The reliability test of a smart insole for gait analysis in stroke patients

  • Seo, Tae-Won;Lee, Jun-Young;Lee, Byoung-Hee
    • 대한물리치료과학회지
    • /
    • 제29권1호
    • /
    • pp.30-40
    • /
    • 2022
  • Background: This study analyzed the reliability of smart guides for gait analysis in patients with stroke. Design: Cross-sectional study. Methods: The participants of the study were 30 patients with stroke who could walk more than 10 m and had an MMSE-K test score of ≥24. Prior to the experiment, the subjects or their guardians entered their demographic characteristics including gender, age, height, weight into the prepared computer. The experiment was conducted in a quiet, comfortable, and independent location, and the patient was reminded of the equipment description, precautions, and safety rules for walking. A smart insole was inserted into the shoes of the patients and the shoes were put on before the patients walked three times on the 5-m gait analysis system mat installed in the laboratory. Results: The reliability of the equipment was compared with that of the gait analysis system, and the results of this study are as follows: among the gait analysis items, velocity had an ICC=0.982, the cadence had an ICC=0.905, the swing phase on the side of the gait cycle had an ICC=0.893, the swing phase on the side of the gait had an ICC=0.839, that on the non-affected side had an ICC=0.939, single support on the affected side had an ICC=0.812, and support on the non-affected side had an ICC=0.767. Conclusion: The results of this study indicate no statistical difference between the smart insole and the gait analysis system. Therefore, it is believed that real-time gait analysis through smart insole measurement could help patients in rehabilitation.

안전사고 예방을 위한 센서 기술 기반 안전화 인식 시스템 설계 및 구현 (Design and Implementation of a Sensor Technology-based Safety Shoe Recognition System to Prevent Safety Accidents)

  • 오경진;박정민;곽광진
    • 한국인터넷방송통신학회논문지
    • /
    • 제23권6호
    • /
    • pp.163-170
    • /
    • 2023
  • 중대재해 처벌 등에 관한 법률의 등장으로 사업주와 경영책임자 및 법인 등은 산업현장에서 안전사고를 예방하기 위해 안전관리자를 대폭 늘리고, ISO 취득 등 많은 투자와 노력을 하고 있다. 또한 SSMS(Smart Safety Management System)을 도입하여, 인원의 관리 및 안전보호구의 관리 또한 진행되고 있다. 작업자의 생명을 보호하는 안전보호구에서 안전모, 안전고리, 안전복에는 IoT 기반의 관리 시스템이 적용되고 있지만 안전화의 경우 현장 관리자와 개인에게 맡겨지고 있고 여전히 안전사고에 취약한 상황이다. 이에 따라 본 연구에서는 현장 출입 시 작업자의 안전화 또한 착용 여부를 사전에 파악할 수 있도록 Raspberry PI 기반의 Sensor 인식 장비를 구현해 착용 여부를 확인하고 안전화 미착용으로 발생될 수 있는 사고를 예방하는 것을 목표로 한다.

클라우드와 N-스크린 기반의 스마트 교육 시스템 연구 (A Study on the SMART Education System Based on Cloud and N-screen)

  • 김봉현;오상영
    • 한국산학기술학회논문지
    • /
    • 제15권1호
    • /
    • pp.137-143
    • /
    • 2014
  • 스마트 교육은 정보형 인재에서 창의형 인재로 변화되는 현대사회에서 스마트화, 자동화 교육을 통해 창의적인 스마트 인재를 양성하는 교육 혁명이라 할 수 있다. 즉, 지식정보화와 스마트 기기의 출현 등으로 점차 개인별 능동적 맞춤형 교육 방식으로 교육 패러다임이 변화하고 있으며 이를 반영하는 교육 방식이라 할 수 있다. 따라서, 본 논문에서는 스마트 교육 환경을 구현하기 위한 기반 기술 체계를 설계한 것으로 클라우드 컴퓨팅과 N 스크린 기반의 차세대 스마트 교육 시스템을 연구하였다. 이를 위해 스마트 미디어 환경에서 교육적 기능과 특징 분석을 기반으로 스마트 교육 시스템의 활용 방안을 극대화시킨 시스템 설계를 연구하였다.

동작인식 스마트 의류제품의 특징적 유형 분석 (The analysis of the characteristic types of motion recognition smart clothing products)

  • 임효빈;고현진
    • 복식문화연구
    • /
    • 제25권4호
    • /
    • pp.529-542
    • /
    • 2017
  • The purpose of this study is to utilize technology as basic data for smart clothing product research and development. This technology can recognize user's motion according to characteristics types and functions of wearable smart clothing products. In order to analyze the case of motion recognition products, we searched for previous research data and cases referred to as major keywords in leading search engines, Google and Naver. Among the searched cases, information on the characteristics and major functions of the 42 final products selected on the market are examined in detail. Motion recognition for smart clothing products is classified into four body types: head & face, body, arms & hands, and legs & feet. Smart clothing products was developed with various items, such as hats, glasses, bras, shirts, pants, bracelets, rings, socks, shoes, etc., It was divided into four functions health care type for prevention of injuries, health monitor, posture correction, sports type for heartbeat and exercise monitor, exercise coaching, posture correction, convenience for smart controller and security and entertainment type for pleasure. The function of the motion recognition smart clothing product discussed in this study will be a useful reference when designing a motion recognition smart clothing product that is blended with IT technology.

Gate Data Gathering in WiFi-embedded Smart Shoes with Gyro and Acceleration Sensor

  • Jeong, KiMin;Lee, Kyung-chang
    • 한국산업융합학회 논문집
    • /
    • 제22권4호
    • /
    • pp.459-465
    • /
    • 2019
  • There is an increasing interest in health and research on methods for measuring human body information. The importance of continuously observing information such as the step change and the walking speed is increasing. At a person's gait, information about the disease and the currently weakened area can be known. In this paper, gait is measured using wearable walking module built in shoes. We want to make continuous measurement possible by simplifying gait measurement method. This module is designed to receive information of gyro sensor and acceleration sensor. The designed module is capable of WiFi communication and the collected walking information is stored in the server. The information stored in the server is corrected by integrating the acceleration sensor and the gyro sensor value. A band-pass filter was used to reduce the error. This data is categorized by the Gait Finder into walking and waiting states. When walking, each step is divided and stored separately for analysis.

Comparison of Step Counting Methods according to the Internal Material Molding Methods for the Module of a Smart Shoe

  • Jang, Si-Woong
    • International Journal of Internet, Broadcasting and Communication
    • /
    • 제13권1호
    • /
    • pp.90-99
    • /
    • 2021
  • Recently, studies on wearable devices in ubiquitous computing environments have increased and the technology collecting user's activities to provide services has received great attention. We have compared the step counting methods according to sensor molding methods in case of counting steps by using the piezoelectric sensor. We have classified the cases which could result from the course of molding the internal module of a smart shoe as follows: (i) the module is unmolded, (ii) molded but only to the extent that a sensor is fixed or (iii) molded to the extent that a sensor is not moved. Moreover, we have made comparison to verify which algorithm should be used to increase the accuracy of counting steps by the respective cases. Based on the comparison result, we have confirmed that the accuracy of counting steps is higher when using gradient value rather than when using threshold value. In the case of no molding and small molding under the condition of using gradient value, it was turned out to be 100% accuracy for step counting.

스마트인솔기술의 시장동향 및 사업화 기회 (Market trends and business opportunities of the smart insole technology)

  • 박재수;박정용
    • 한국정보통신학회논문지
    • /
    • 제20권7호
    • /
    • pp.1389-1397
    • /
    • 2016
  • 본 연구는 스마트인솔기술의 사업화기회를 분석하였다. 인솔에 압력감응센서, 가속도센서가 응용되어 발과 신체의 균형을 만들고 또한 엔터테인먼트(스포츠, 오락 등) 및 헬스케어용으로 활용되면서 기술의 스마트화를 확장하고 있다. 일례로 스마트인솔은 센서가 측정한 무게 값을 스마트폰으로 전송해 잘못된 보행습관을 고칠 수 있으며 운동시에는 무게중심 이동상황을 측정해 알려줌으로써 자세교정에 도움을 준다. 그럼에도 불구하고 스마트인솔기술은 엔터테인먼트 및 헬스케어 시장에서 뚜렷한 경계를 지니지 못하고 있다. 그것은 기능의 유사성에 따른 것으로써 피트니스밴드, 스마트양말, 스마트신발 등이 스마트인솔의 혜택을 대체할 수도 있기 때문이다. 스마트인솔의 사업화 기회는 스마트인솔 그 자체보다 심전도, 체온, 혈압 등에 관한 솔루션서비스의 도구로 위치할 것이다.

Effect of Progressive Squat Exercise on Lower Body Muscles Activity and Foot Pressure in Male College Students

  • Jin-Wook, Lee;Jin-Young, Jung
    • 한국컴퓨터정보학회논문지
    • /
    • 제28권2호
    • /
    • pp.143-151
    • /
    • 2023
  • 이 연구는 남자대학생을 대상으로 점진적 스쿼트 운동시 하체 근활성도와 발바닥압력의 변화를 살펴보고 근전도와 스마트 슈즈를 이용하여 근육이 불균형을 확인 및 인지시키고 즉각적인 피드백을 제공하여 효율적인 운동지도에 도움이 되고자 실시되었다. 연구의 대상자는 D대학교 재학생으로 20명으로 실시하였다. 이 연구 결과 스퀴트 부하가 증가할수록 8개 근육 중 왼쪽 반힘줄모양근, 양쪽 앞정강근을 제외한 모든 근육의 활성도가 유의하게 증가하였으며, 발바닥 압력은 스쿼트 부하가 증가될 수 발앞부(FF)의 압력이 유의하게 증가하였고 발뒤부(RF)의 압력은 유의하게 감소하였다. 따라서 웨어러블 기기를 이용하여 즉각적인 피드백 제공은 근육의 불균형을 예방하고 효과적인 운동지도를 할 수 있을 것으로 생각된다.

스마트패션제품 개발 동향에 관한 연구 (A study on smart fashion product development trends)

  • 서성은;노정심
    • 복식문화연구
    • /
    • 제23권6호
    • /
    • pp.1097-1115
    • /
    • 2015
  • ICT in the IOT era is the core basis of modern society. This study investigated and analyzed the recent commercialization trends of smart fashion products internationally and domestically, to utilize them as the basis of data for developing user-friendly smart fashion products that can meet the needs of consumers. Keyword research using the most representative search engines, Google and Naver was conducted for searching for various wearable items commercialized actively since 2010. The final 78 products were classified by the physical area, and the key features and benefits were analyzed. Smart fashion products were classified as four physical types for the head and face, torso, arms and hands, and ankles and feet. Smart fashion products for each body part were developed in various ways, such as hats, glasses, lenses, virtual screens, earphones, headsets, clothing, watches, wrist bands, gloves, rings, wallets, bags, anklets, shoes, socks, and insoles. The main features were music playback, bluetooth, a camera based on NFC, virtual effects, health and safety protection through measuring heartbeat and momentum, and social network sharing of all kinds of information, based on inter-working with a smartphone. These functions represent the physical, social, and emotional interactions among users and their surroundings, as well as the users, themselves. The research results are expected to be used in future studies on planning user-friendly and marketable products through in-depth analysis of the design characteristics of smart fashion products as well as consumer responses.