• Title/Summary/Keyword: Movement Recognition

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Development of an IMU-based Wearable Ankle Device for Military Motion Recognition (군사 동작 인식을 위한 IMU 기반 발목형 웨어러블 디바이스 개발)

  • Byeongjun Jang;Jeonghoun Cho;Dohyeon Kim;Kyeong-Won Park
    • Journal of Intelligence and Information Systems
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    • v.29 no.2
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    • pp.23-34
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    • 2023
  • Wearable technology for military applications has received considerable attention as a means of personal status check and monitoring. Among many, an implementation to recognize specific motion states of a human is promising in that allows active management of troops by immediately collecting the operational status and movement status of individual soldiers. In this study, as an extension of military wearable application research, a new ankle wearable device is proposed that can glean the information of a soldier on the battlefield on which action he/she takes in which environment. Presuming a virtual situation, the soldier's upper limbs are easily exposed to uncertainties about circumstances. Therefore, a sensing module is attached to the ankle of the soldier that may always interact with the ground. The obtained data comprises 3-axis accelerations and 3-axis rotational velocities, which cannot be interpreted by hand-made algorithms. In this study, to discern the behavioral characteristics of a human using these dynamic data, a data-driven model is introduced; four features extracted from sliced data (minimum, maximum, mean, and standard deviation) are utilized as an input of the model to learn and classify eight primary military movements (Sitting, Standing, Walking, Running, Ascending, Descending, Low Crawl, and High Crawl). As a result, the proposed device could recognize a movement status of a solider with 95.16% accuracy in an arbitrary test situation. This research is meaningful since an effective way of motion recognition has been introduced that can be furtherly extended to various military applications by incorporating wearable technology and artificial intelligence.

Passenger Monitoring Method using Optical Flow and Difference Image (차영상과 Optical Flow를 이용한 지하철 승객 감시 방법)

  • Lee, Woo-Seok;Kim, Hyoung-Hoon;Cho, Yong-Gee
    • Proceedings of the KSR Conference
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    • 2011.10a
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    • pp.1966-1972
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    • 2011
  • Optical flow estimation based on multi constraint approaches is frequently used for recognition of moving objects. This paper proposed the method to monitor passenger boarding using image processing when a train is operated based on Automatic Train Operation(ATO). The movement of passenger can be detected to compare two images, one is a basic image and another is immediately captured by CCTV. Optical Flow helps to find the movement of passenger when two images are compared. The movement of passenger is one of important informations for ATO system because it needs to decide door status.

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Development of Automatic Hole Position Measurement System using the CCD-camera (CCD-카메라를 이용한 홀 변위 자동측정시스템 개발)

  • 김병규;최재영;강희준;노영식
    • Proceedings of the Korean Society of Precision Engineering Conference
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    • 2004.10a
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    • pp.127-130
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    • 2004
  • For the quality control of the industrial products, an automatic hole measuring system has been developed. The measurement device allows X-Y movement due to contact forces between a hole and its own circular cone and the device is attached to an industrial robot. Its measurement accuracy is about 0.04mm. This movement of the plate is measured by two LVDT sensor system. But this system using the LVDT sensors is restricted by high cost and precision of measurement and correspondence of environment so particularly, a vision system with CCD-Camera is discussed in this paper for the above mentioned purpose. The device consists of two of two links jointed with hinge pins basically and, they guarantee free movement of the touch prove attached on the second link in the same plane. These links are returned to home position by the spring plungers automatically after each process for the next one. On the surface of the touch prove, it has a circular white mark for camera recognition. The system detect and notify the center coordinate of capture mark image through the image processing. Its measuring accuracy has been proved to be about $\pm$0.01mm through the repeated implementation over 200 times. This technique will shows the advantage of touch-indirect image capture idea using cone-shaped touch prove in various symmetrical shaped holes particulary, like tapped holes, chamfered holes, etc As a result, we attained our object in a view of the accuracy, economical efficiency, and functionality

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A method of describing and retrieving a sequence of moving object using Shape Variation Map (모양 변화 축적도를 이용한 움직이는 객체의 표현 및 검색 방법)

  • Choi, Min-Seok;Kim, Whoi-Yul
    • The KIPS Transactions:PartB
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    • v.11B no.1
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    • pp.1-6
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    • 2004
  • Motion Information in a video clip often plays an important role in characterizing the content of the clip. A number of methods have been developed to analyze and retrieve video contents using motion information. However, most of these methods focused more on the analysis of direction or trajectory of motion but less on the analysis of the movement of an object. In this paper, we introduce the shape variation descriptor for describing shape variation caused by object movement along time, and propose a method to describe and retrieve the shape variation of the object using shape variation map. The experimental results shows that the proposed method performed much better than the previous method by l1% and is very effective for describing the shape variation which is applicable to semantic retrieval applications.

Sensor-based Recognition of Human's Hand Motion for Control of a Robotic Hand (로봇 핸드 제어를 위한 센서 기반 손 동작 인식)

  • Hwang, Myun Joong
    • Journal of the Korea Academia-Industrial cooperation Society
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    • v.15 no.9
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    • pp.5440-5445
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    • 2014
  • Many studies have examined robot control using human bio signals but complicated signal processing and expensive hardware are necessary. This study proposes a method to recognize a human's hand motion using a low-cost EMG sensor and Flex sensor. The method to classify movement of the hand and finger is determined from the change in output voltage measured through MCU. The analog reference voltage is determined to be 3.3V to increase the resolution of movement identification through experiment. The robotic hand is designed to realize the identified movement. The hand has four fingers and a wrist that are controlled using pneumatic cylinders and a DC servo motor, respectively. The results show that the proposed simple method can realize human hand motion in a remote environment using the fabricated robotic hand.

The Study on Dynamic Images Processing for Finger Languages (지화 인식을 위한 동영상 처리에 관한 연구)

  • Kang, Min-Ji;Choi, Eun-Sook;Sohn, Young-Sun
    • Journal of the Korean Institute of Intelligent Systems
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    • v.14 no.2
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    • pp.184-189
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    • 2004
  • In this paper, we realized a system that receives the dynamic images of finger languages, which is the method of intention transmission of the hearing disabled person, using the white and black CCD camera, and that recognizes the images and converts them to the editable text document. We use the afterimage to draw a sharp line between indistinct images and clear images from a series of inputted images, and get the character alphabet from the away of continuous images and output the accomplished character to the word editor by applying the automata theory. After the system removes the varied wrist part from the data of clean image, it gets the controid point of hand by the maximum circular movement method and recognizes the hand that is necessary to analyze the finger languages by applying the circular pattern vector algorithm. The system abstracts the characteristic vectors of the hand using the distance spectrum from the center of the hand and it compares the characteristic vector of inputted pattern from the standard pattern by applying the fuzzy inference and recognizes the movement of finger languages.

The Aesthetic Qualities Featured in Vivienne Westwood's Works (비비안 웨스트우드(Vivienne Westwood)의 작품세계와 미적특성)

  • 염혜정
    • Journal of the Korean Society of Costume
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    • v.37
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    • pp.71-88
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    • 1998
  • This study will analyze the aesthetic qual-ities revealed in the work of Vivienne Wes-twood in order to gain an understanding of the development process and uniqueness of modern avant-garde fashion. Westwood gained worldwide recognition in the 1970s as the Punk movement emerged in London. Although her works have often been described as decadent and anti-establishment, her anarchic view of fashion has had a considerable influence on other designers, both in England and around the world. Vivienne Westwood's works can be divided into three periods. In the first period(1971∼78). Westwood design demonstrated elements which were variations of the subcultural Punk style. The noteworthy designs of this period included ripped T-shirts, bondage clothes, and fetishist accoutrements. In the second period(1979∼83), her designs expressed elements from ethnic and primitive tribal societies through the 'Pirate', 'Savages', 'Buffalo Girls', 'Witches' collections, which inspired New Romanticism movement. In the third period (1985∼ ), through works such as 'Mini-Crini'collection, her works identified elements from the old west and used materials such as crinoline and Harris tweed and contemporized them by rearranging the innovative technique. In the end the news synthesis helped formulate new ideas. The aesthetic qualities in Vivienne Wes-twood's works can bed identified with the following themes : Punkature, Erotic Intelligent-sia, Anarchic Collage. First, within Punkature, Westwood's ideas are at the forefront as her impact on the cut of clothes and creative detailing have been considerable. Also, while her ideas can be extreme, her clothes are wear-able, resulting in the synthesis of Punk and couture. Second, as Erotic Intelligentsia, Vivienne Westwood does not present sexuality as a straight forward attribute that fashion so often tends to do, but instead as a matter for inquiry, exploration and debate. She asserts that sexuality is always an interplay between the polarities of masculine and feminine, of dress and undress. Third, as Anarchic Collage, she has taken, juxtaposed, and transformed objects and symbols from dominant culture, like every modern subversive movement from Dada to Punk. She has continued this form of anarchic collage, mixing styles from various times and places, taking them out of their traditional context. From thiss viewpoint, Vivienne Westwood's works can be considered to be made up of past themes merged with is contemporary. The usage of contrasting elements such as Punk and couture to communicate her ideas visually or technically.

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A Study on Robot Arm Control System using Detection of Foot Movement (발 움직임 검출을 통한 로봇 팔 제어에 관한 연구)

  • Ji, H.;Lee, D.H.
    • Journal of rehabilitation welfare engineering & assistive technology
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    • v.9 no.1
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    • pp.67-72
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    • 2015
  • The system for controlling the robotic arm through the foot motion detection was implemented for the disabled who not free to use of the arm. In order to get an image on foot movement, two cameras were setup in front of both foot. After defining multiple regions of interest by using LabView-based Vision Assistant from acquired images, we could detect foot movement based on left/right and up/down edge detection within the left/right image area. After transferring control data which was obtained according to left/right and up/down edge detection numbers from two foot images of left/right sides through serial communication, control system was implemented to control 6-joint robotic arm into up/down and left/right direction by foot. As a result of experiment, we was able to get within 0.5 second reaction time and operational recognition rate of more 88%.

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Analysis of Facial Movement According to Opposite Emotions (상반된 감성에 따른 안면 움직임 차이에 대한 분석)

  • Lee, Eui Chul;Kim, Yoon-Kyoung;Bea, Min-Kyoung;Kim, Han-Sol
    • The Journal of the Korea Contents Association
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    • v.15 no.10
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    • pp.1-9
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    • 2015
  • In this paper, a study on facial movements are analyzed in terms of opposite emotion stimuli by image processing of Kinect facial image. To induce two opposite emotion pairs such as "Sad - Excitement"and "Contentment - Angry" which are oppositely positioned onto Russell's 2D emotion model, both visual and auditory stimuli are given to subjects. Firstly, 31 main points are chosen among 121 facial feature points of active appearance model obtained from Kinect Face Tracking SDK. Then, pixel changes around 31 main points are analyzed. In here, local minimum shift matching method is used in order to solve a problem of non-linear facial movement. At results, right and left side facial movements were occurred in cases of "Sad" and "Excitement" emotions, respectively. Left side facial movement was comparatively more occurred in case of "Contentment" emotion. In contrast, both left and right side movements were occurred in case of "Angry" emotion.

Implementation of Interactive Media Content Production Framework based on Gesture Recognition (제스처 인식 기반의 인터랙티브 미디어 콘텐츠 제작 프레임워크 구현)

  • Koh, You-jin;Kim, Tae-Won;Kim, Yong-Goo;Choi, Yoo-Joo
    • Journal of Broadcast Engineering
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    • v.25 no.4
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    • pp.545-559
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    • 2020
  • In this paper, we propose a content creation framework that enables users without programming experience to easily create interactive media content that responds to user gestures. In the proposed framework, users define the gestures they use and the media effects that respond to them by numbers, and link them in a text-based configuration file. In the proposed framework, the interactive media content that responds to the user's gesture is linked with the dynamic projection mapping module to track the user's location and project the media effects onto the user. To reduce the processing speed and memory burden of the gesture recognition, the user's movement is expressed as a gray scale motion history image. We designed a convolutional neural network model for gesture recognition using motion history images as input data. The number of network layers and hyperparameters of the convolutional neural network model were determined through experiments that recognize five gestures, and applied to the proposed framework. In the gesture recognition experiment, we obtained a recognition accuracy of 97.96% and a processing speed of 12.04 FPS. In the experiment connected with the three media effects, we confirmed that the intended media effect was appropriately displayed in real-time according to the user's gesture.