• Title, Summary, Keyword: Smart shoes

Search Result 18, Processing Time 0.032 seconds

Discussion on the Value of Using Gait Analysis System Using Smart Shoes (스마트 신발을 활용한 보행분석 시스템 활용 가치에 대한 논의)

  • Park, Tae-Sung;Shin, Myung-Jun;Lee, Lee-Eun
    • Journal of Convergence for Information Technology
    • /
    • v.9 no.3
    • /
    • pp.128-133
    • /
    • 2019
  • The purpose of this study is to verify whether the data measured by the researcher and the smart shoe sensor data are the same or similar by performing the 6 - minute walking test and time up and go test after putting smart shoes on a normal person. Ten normal adult males participated. After wearing smart shoes, they performed a 6-minute walk test and a time up and go test. The results of this experiment show that the accuracy of the current sensor is high. The difference in the distance of the 6-minute walking test is that the difference is because the turning point, which is not calculated in the actual 30-m track, measures the distance. From this point of view, it can be seen that smart shoes measure more accurate distance and it is expected that various tests will be possible through smart sensors.

The Pre-Study of Development of Smart Shoe with Musculoskeletal Injury Prevention and Monitoring System: Selection of Plantar Pressure Sensor Location and Development of Prototype (근골격계 부상 예방 및 활동 모니터링 케어시스템을 탑재한 스마트 신발 개발을 위한 사전 연구: 족저압력센서 위치 선정과 시제품 개발)

  • Jun, Sung Pyo;You, Yen Woo;Park, Seung Bum
    • Journal of the Ergonomics Society of Korea
    • /
    • v.37 no.2
    • /
    • pp.101-110
    • /
    • 2018
  • Objective: The purpose is to develop smart shoes with sensors that help prevent musculoskeletal disorder of individual workers using ICT convergent technology. Background: This study intended to develop an intelligent shoe platform for analysis of musculoskeletal disorder prevention by analyzing working conditions and postures of musculoskeletal disorder, securing biomechanical database on characteristics of consumers demanding prevention of musculoskeletal disorder, and developing hardware module and platform. Method: The positions of the pressure sensors in the smart shoe were cells 3, 5, 28, 29, and 30 on the fore-foot, cells 70 and 71 on the mid-foot, and cells 83, 84, 90, and 92 on the rear-foot; the module was inserted in the rear-foot area. For the sake of weight reduction and impact absorption, injection phylon was used. Rubber materials were used for the outside of the outsole to prevent slippage. For easy insertion of the module, the vera and the eyelids on the upper were designed to be long and deep. After the shoemaking process was finished, a translucent mesh material was used for easy removal of the midsole. Results: By doing so, inserting the module became easier; the module's accuracy and pressure dispersion improved as well. Conclusion: Working postures that induce musculoskeletal disorder can be analyzed easily by adding smart function to work shoes through existing smart devices. Application: The system can be utilized as a solution to prevent and manage musculoskeletal disorder more efficiently.

Analysis of Domestic and International Biomechanics Research Trends in Shoes: Focusing on Research Published in 2015-2019 (신발 분야 국내외 운동역학 연구동향 분석: 2015-2019년에 발간된 연구를 중심으로)

  • Back, Heeyoung;Yi, Kyungock;Lee, Jusung;Kim, Jieung;Moon, Jeheon
    • Korean Journal of Sport Biomechanics
    • /
    • v.30 no.2
    • /
    • pp.185-195
    • /
    • 2020
  • Objective: The purpose of this study was to identify recent domestic and international research trends regarding shoes carried out in biomechanics field and to suggest the direction of shoe research later. Method: To achieve this goal of research, the Web of Science, Scopus, PubMed, Korea Education and Research Information Service and Korean Citation Index were searched to identify trends in 64 domestic and international research. Also, classified into the interaction of the human body, usability evaluation of functional shoes, smart shoe development research, and suggested the following are the suggestions for future research directions. Conclusion: A study for the coordination of muscle activity, control of motion and prevention of injury should be sought by developing shoes of eco-friendly materials, and scientific evidence such as physical aspects, materials, floor shapes and friction should be supported. Second, a study on elite athletes in various sports is needed based on functional shoes using new materials to improve their performance along with cooperation in muscle activities and prevention of injury. Third, various information and energy production are possible in real time through human behavioral information, and the application of Human Machine Interface (HMI) technology through shoe-sensor-human interaction should be explored.

The Optimization of the Number and Positions of Foot Pressure Sensors to Develop Smart Shoes

  • Yoo, Sihyun;Gil, Hojong;Kim, Jongbin;Ryu, Jiseon;Yoon, Sukhoon;Park, Sang Kyoon
    • Journal of the Ergonomics Society of Korea
    • /
    • v.36 no.5
    • /
    • pp.395-409
    • /
    • 2017
  • Objective: The purpose of this study was to optimize the number and positions of foot pressure sensors using the reliability analysis of the center of pressure (COP) in smart shoes. Background: Foot pressure can be different according to foot region, and it is important which region of the foot pressure needs to be measured. Method: Thirty adults (age: $20.5{\pm}1.8years$, body weight: $71.4{\pm}6.5kg$, height: $1.76{\pm}0.04m$) participated in this study. The foot pressure data were collected using the insole of Pedar-X system (Novel GmbH, USA) with a sampling frequency of 100Hz during 1.3m/s speed walking on the treadmill (Instrumented treadmill, Bertec, USA). The intraclass correlation coefficients (ICC) were calculated between the COP positions using 4, 5, 6, 7, 8, and 99 sensors, while one-way repeated measure ANOVA was performed between the standard deviation (SD) of the COP positions. Results: The medio-lateral (M/L) COP position using 99 sensors was positively correlated with the M/L COP positions using 6, 7, and 8 sensors; however, it was not correlated with the M/L COP positions using 4 and 5 sensors during landing phase (1~4%) (p<.05). The antero-posterior (A/P) COP position using 99 sensors was positively correlated with the A/P COP positions using 4, 5, 6, 7, and 8 sensors (p<.05). The SD of the COP position using 99 sensors was smaller than the SD of the M/L COP positions using 4, 5, 6, 7, and 8 sensors (p<.05). Conclusion: Based on our findings, it is desirable to arrange at least 6 sensors in smart shoes. Application: The study of optimizing the number and positions of foot pressure sensors would contribute to developing more effective smart shoes using foot pressure technology.

Definition of Minimum Performance Requirements for RFID Tags Embedded Inside a Pair of Shoes (신발에 삽입되는 RFID 태그의 최소 성능 요구사항 정의)

  • Kwon, Jongwon;Song, Taeseung;Cho, Wonseo;Kim, Jaeuk
    • The Journal of Korean Institute of Electromagnetic Engineering and Science
    • /
    • v.27 no.1
    • /
    • pp.33-41
    • /
    • 2016
  • Radio Frequency Identification(RFID) can provide visibility and efficiency throughout the entire supply chain in fashion apparel and footwear. The technical analysis of RFID performance is necessarily required to create a sealess omni-channel service using customer experience. Especially, several tagged-item performance specifications, for example read range and multi-read rate, strongly depend on the attached material and real-operating environment. This paper suggests minimum performance requirements for RFID tags embedded inside a pair of shoes to negotiate tagged-item performance between retailers and suppliers.

Research on Intention to Adopt Smart Wear: Based on Extended UTAUT Model (스마트웨어 수용의도 연구: 확장된 UTAUT 모형을 중심으로)

  • Sung, Heewon;Sung, Junghwan
    • Journal of Fashion Business
    • /
    • v.19 no.2
    • /
    • pp.69-84
    • /
    • 2015
  • The objective of this study is to investigate the intention to adopt smart wear, based on extended UTAUT model. We examined the effects of performance expectancy (PE), effort expectancy (EE), hedonic motivation (HE), social influence (SI), facilitating conditions (FC), and price value (PV) on the intended adoption of smart watch and smart shoes, respectively. In addition, moderating effects of gender, age, and innovation resistance were examined. An online survey was conducted, comprised of 2030 consumers who were aware of smart watch or smart shoes. In total, 393 responses were analyzed. About 50.4% were male, and 44.8% were in their 20's. An exploratory factor analysis generated five factors - PE & HM, EE, SI, FC, and PV- which were employed as independent variables in the multiple regression models. PE & HM, PV, and SI influenced on the intention to use both smart devices. FC showed the significant effect only on the intention to adopt the smart watch. In terms of gender differences, SI and PV were the important predictors of the intention to adopt the smart watch in the female group only. With respect to age difference, SI was very effective in explaining the intention of individuals in their 30's to adopt smart wear. Among the low innovation resistance group, SI was significant predictor, while PE & HE and PV were significant among the high resistance group. The findings provide useful information about the possibility of the adoption of smart wear, and new insight into market segmentation.

Design and Implementation of a smart shoes module based on Arduino (아두이노 기반 스마트 신발 모듈의 설계 및 구현)

  • Seo, Sang-hyun;Jang, Si-woong
    • Journal of the Korea Institute of Information and Communication Engineering
    • /
    • v.19 no.11
    • /
    • pp.2697-2702
    • /
    • 2015
  • In the existing studies providing a method which do exercise according to music speed, the method was used which a user changes playing musics. However, if the method which a user changes directly playing musics is used, flow of exercise can be discontinued during searching musics when anyone want to play a fast music. In this paper, we designed the module which measures the number of steps from a user of wearable smart shoes based on the Arduino, and implemented the module so that the number of steps can be measured correctly by sending data to smart phone based on Android. And it is possible to measure moving distance and pace speed by utilizing a GPS in order to get the more accurate momentum. Also, we can measure more accurate calorie consumption than existing products by measuring the mean value of the calorie consumption for moving distance and the calorie consumption for the number of steps, give motivation of exercise by applying an algorithm of changing music genre according to pace speed, and increase the exercise effect at the same time.

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

  • Joo, Ji-Yong;Kim, Young-Kwan;Park, Jae-Young
    • Korean Journal of Sport Biomechanics
    • /
    • v.25 no.1
    • /
    • 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.

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

  • Kim, Bong-Hyun;Oh, Sang-Young
    • Journal of the Korea Academia-Industrial cooperation Society
    • /
    • v.15 no.1
    • /
    • pp.137-143
    • /
    • 2014
  • Smart education in the information window, type talent in modern society is changing as talented smart shoes, smart automation creative talent through education, training can be called education revolution. In other words, the advent of smart devices, such as knowledge and information and to actively growing individual customized training paradigm change in the way education and training to reflect this approach. Therefore, in this paper, a smart learning environment based technologies for implementing the system was designed to be the next generation of cloud computing and N screen-based smart education system was studied. From this, educational functions and features in a smart media environment, based on the analysis of the utilization of a smart education system, which maximizes the system design were studied.

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

  • Im, Hyobin;Ko, Hyun Zin
    • The Research Journal of the Costume Culture
    • /
    • v.25 no.4
    • /
    • 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.