• Title/Summary/Keyword: Intelligent shoe

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Development of lntelligent Shoe System to Measure Applied Force/Moment on the Sole of a Foot during Human Walking (사람 보행시 발바닥의 힘정보를 측정하기 위한 지능형 신발시스템 개발)

  • Kim, Gab-Soon;Kim, Hyeon-Min;Hu, Duck-Chan
    • Journal of the Korean Society for Precision Engineering
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    • v.25 no.7
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    • pp.79-86
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    • 2008
  • This paper describes the development of wearing intelligent shoe system to measure applied forces and moments (ground reaction forces and moments) on the soles of feet during human walking. In order to walk safely, robot must get the intelligent feet with 6-axis force/moment sensors (Fx sensor (x-direction force sensor), Fy sensor, Fz sensor, Mx sensor (Mx : x-direction moment sensor), My sensor, and Mz sensor) and detect the forces and moments data from the sensors. And the feet must be controlled with the data and controllers. While a human is walking, the forces and moments should be measured and analyzed for robot's intelligent feet. Therefore, the wearing intelligent shoe system should be developed. In this paper, four 6-axis farce/moment sensors and two high speed measuring devices were designed and fabricated, and the wearing intelligent shoe system was made using these. The characteristic tests of the wearing intelligent shoe system were performed, and the forces and moments were detected using it.

Construction of sports hall flooring with excellent properties by nanocomposites

  • Xianfang Zhang
    • Advances in nano research
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    • v.16 no.2
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    • pp.155-164
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    • 2024
  • The rapid evolution of intelligent sports equipment and gadgets has led to the transformation of smartphones into personalized coaching devices. This transformative role is central in today's technologically advanced landscape, addressing the needs of individuals with contemporary lifestyles. The development of intelligent sports gadgets is geared towards elevating overall quality of life by facilitating sports activities, workouts, and promoting health preservation. This categorization yields two primary types of devices: smart sports devices for exercise and smart health control devices, which encompass functionalities such as blood pressure monitoring and muscle volume measurement. Illustrative examples include smart headbands, smart socks, smart wristbands, and smart shoe soles. Significantly, the global market for smart sports devices has garnered substantial popularity among enthusiasts. Moreover, the integration of sensors within these devices has instigated a revolution in group and professional sports, facilitating the calculation of impact intensity and ball speed. The utilization of various types of smart sports equipment has proliferated, encompassing applications in both sports' performance and health monitoring across diverse demographics. This article conducts an assessment of the application of nanotechnology in the continuous modeling of the magnetic electromechanical sensor integrated within smart shoe soles, with a specific emphasis on its implementation in soccer training. The exploration delves into the nuanced intersection of nanotechnology and sports equipment, elucidating the intricate mechanisms that underlie the transformative impact of these advancements.

Intelligent Shoes for Detecting Blind Falls Using the Internet of Things

  • Ahmad Abusukhon
    • KSII Transactions on Internet and Information Systems (TIIS)
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    • v.17 no.9
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    • pp.2377-2398
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    • 2023
  • In our daily lives, we engage in a variety of tasks that rely on our senses, such as seeing. Blindness is the absence of the sense of vision. According to the World Health Organization, 2.2 billion people worldwide suffer from various forms of vision impairment. Unfortunately, blind people face a variety of indoor and outdoor challenges on a daily basis, limiting their mobility and preventing them from engaging in other activities. Blind people are very vulnerable to a variety of hazards, including falls. Various barriers, such as stairs, can cause a fall. The Internet of Things (IoT) is used to track falls and send a warning message to the blind caretakers. One of the gaps in the previous works is that they were unable to differentiate between falls true and false. Treating false falls as true falls results in many false alarms being sent to the blind caretakers and thus, they may reject the IoT system. As a means of bridging this chasm, this paper proposes an intelligent shoe that is able to precisely distinguish between false and true falls based on three sensors, namely, the load scale sensor, the light sensor, and the Flex sensor. The proposed IoT system is tested in an indoor environment for various scenarios of falls using four models of machine learning. The results from our system showed an accuracy of 0.96%. Compared to the state-of-the-art, our system is simpler and more accurate since it avoids sending false alarms to the blind caretakers.

A Study on the Intelligent 3D Foot Scanning System (인공지능형 삼차원 Foot Scanning 시스템에 관한 연구)

  • Kim, Young-Tak;Park, Ju-Won;Tack, Han-Ho;Lee, Sang-Bae
    • Journal of the Korean Institute of Intelligent Systems
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    • v.14 no.7
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    • pp.871-877
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    • 2004
  • In this paper, for manufacturing a custom-made shoes, shape of foot acquired three-dimensional measurement device which makes shoe-last data for needing a custom-made shoes is founded on artificial intelligence technique and it shows method restoring to the original shape in optimized state. the developed system for this study is based on PC which uses existing three dimensional measurement method. And it gains shoe-last and data of foot shape going through 8 CCD(Charge Coupled Device) Which equipped top and bottom, right and left sides and 4 lasers which also equipped both sides and upper and lower sides. The acquired data are processed image processing algorithm using artificial intelligence technique. And result of data management is better quality of removing noise than other system not using artificial intelligence technique and it can simplify post-processing. So, this paper is constituted hardware and software system and it used neural network for determining threshold value, when input image on pre-processing step is being stage of image binarization and present that results.

Shoes from Pinet to the Present

  • June, Swann
    • Proceedings of the Korea Society of Costume Conference
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    • 2001.08a
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    • pp.11-13
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    • 2001
  • For those unfamiliar with the shoe world, Pinet (1817-1897) was a contemporary of Worth, the great Parisian couturier. So I look at the glamour shoes and the world of haute couture, and indeed the development of the named designer. That is a concept we are all familiar with now. So it is not easy to comprehend the lack of names for the exquisite work before 1850. Straightway I have to say that the number of noted shoe designers is far fewer than famous dress designers, but I will introduce you to some of them, against the background of contemporary shoe fashions. Franc;ois Pinet was born in the provinces (probably Touraine) in 1817, two years after the end of the Napoleonic Wars. His father, an ex-soldier, settled to shoemaking, a comparatively clean and quiet trade. It had a tradition of literacy, interest in politics, and was known as the gentle craft, which attracted intelligent people. We should presume father would be helped by the family. It was usual for a child to begin by the age of 5-6, tying knots, sweeping up, running errands and gradually learning the job. His mother died 1827, and father 1830 when he was 13, and at the time when exports of French shoes were flooding world markets. He went to live with a master shoemaker, was not well treated, and three years later set out on the tour-de- France. He worked with masters in Tours and Nantes, where he was received as Compagnon Cordonnier Bottier du Devoir as Tourangeau-Ia rose dAmour (a name to prove most appropriate). He went on to Bordeaux, where at 19 he became president of the local branch. In 1841 he went to Paris, and in 1848, revolution year, as delegate for his corporation, he managed to persuade them not to go on strike. By now the shoemakers either ran or worked for huge warehouses, and boots had replaced shoes as the main fashion. In 1855 Pinet at the age of 38 set up his own factory, as the first machines (for sewing just the uppers) were appearing. In 1863 he moved to new ateliers and shop at Rue ParadisPoissoniere 44, employing 120 people on the premises and 700 outworkers. The English Womans Domestic Magazine in 1867 records changes in the boots: the soles are now wider, so that it is no longer necessary to walk on the uppers. There is interest in eastern Europe, the Polonaise boots with rosette of cord and tassels and Bottines Hongroises withtwo rows of buttons, much ornamented. It comments on short dresses, and recommends that the chaussure should correspond to the rest of the toilet. This could already be seen in Pinets boots: tassels and superb flower embroidery on the higher bootleg, which he showed in the Paris Exposition that year. I think his more slender and elegant Pinet heel was also patented then or 1868. I found little evidence for colour-matching: an English fashion plate of 1860 shows emerald green boots with a violetcoloured dress.

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Intelligent Control of a Virtual Walking Machine for Virtual Reality Interface (가상현실 대화용 가상걸음 장치의 지능제어)

  • Yoon, Jung-Won;Park, Jang-Woo;Ryu, Je-Ha
    • Journal of Institute of Control, Robotics and Systems
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    • v.12 no.9
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    • pp.926-934
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    • 2006
  • This paper proposes intelligent control of a virtual walking machine that can generate infinite floor for various surfaces and can provide proprioceptive feedback of walking to a user. This machine allows users to participate in a life-like walking experience in virtual environments with various terrains. The controller of the machine is implemented hierarchically, at low-level for robust actuator control, at mid-level fur platform control to compensate the external forces by foot contact, and at high-level control for generating walking trajectory. The high level controller is suggested to generate continuous walking on an infinite floor for various terrains. For the high level control, each independent platform follows a man foot during the swing phase, while the other platform moves back during single stance phase. During double limb support, two platforms manipulate neutral positions to compensate the offset errors generated by velocity changes. This control can, therefore, satisfy natural walking conditions in any direction. Transition phase between the swing and the stance phases is detected by using simple switch sensor system, while human foot motions are sensed by careful calibration with a magnetic motion tracker attached to the shoe. Experimental results of walking simulations at level ground, slope, and stairs, show that with the proposed machine, a general person can walk naturally on various terrains with safety and without any considerable disturbances. This interface can be applied to various areas such as VR navigations, rehabilitation, and gait analysis.