• Title/Summary/Keyword: body tracking

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A Study on the Recognition of the State of Eye for the Patient Monitoring System (환자 감시장치를 위한 눈의 개폐(開閉) 상태 인식에 관한 연구)

  • 김성환;한영환;박승환;장영건;홍승홍
    • Journal of the Korean Institute of Telematics and Electronics B
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    • v.32B no.11
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    • pp.1455-1463
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    • 1995
  • A new automatic tracking & recognition algorithm which decides the opening & the closing states of subject's eye and isn't affected by the subject's background is proposed. And it was tested in circumstances in which subject's background was not restricted using the developed system, ATRS(Automatic Tracking & Recognition System). The significant characteristic of the ATRS is new movement detection of object that is a body in motion with accelated velocity and it doesn't need any extra hardware except a formal CCD camera and an image grabber but it works so well and so fast. The ATRS would be particularly well suited to a way of communications of patients in a hospital, who can not communicate otherwise.

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Development of Stereoscopic PTV Technique and Performance Tests (Stereoscopic PTV 기법의 개발과 성능비교 연구)

  • Lee Sang-Joon;Yoon Jong-Hwan
    • Transactions of the Korean Society of Mechanical Engineers B
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    • v.30 no.3 s.246
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    • pp.215-221
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    • 2006
  • A stereoscopic particle tracking velocimetry (SPTV) technique based on the 2-frame hybrid particle tracking velocimetry (PTV) method was developed. The expansion of 2D PTV to SPTV is facilitated by the fact that the PTV method tracks individual particle centroids. To evaluate the performance and measurement accuracy of the present SPTV technique, it was applied to flow images of rigid body translation and synthetic standard images of jet shear flow and impinging jet flow. The data processing routine and measurement uncertainty of the SPTV technique are compared with those of conventional stereoscopic particle image velecimet.y (SPBV). In addition, the centroid translation effect of 2D particle image velocimetry (PIV) is defined and its effect on SPIV measurements is discussed. Compared to the SPIV method, the SPTV technique has inherited merits of concise and precise velocity evaluation procedures and provides better spatial resolution and measurement accuracy.

Automatic Gesture Recognition for Human-Machine Interaction: An Overview

  • Nataliia, Konkina
    • International Journal of Computer Science & Network Security
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    • v.22 no.1
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    • pp.129-138
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    • 2022
  • With the increasing reliance of computing systems in our everyday life, there is always a constant need to improve the ways users can interact with such systems in a more natural, effective, and convenient way. In the initial computing revolution, the interaction between the humans and machines have been limited. The machines were not necessarily meant to be intelligent. This begged for the need to develop systems that could automatically identify and interpret our actions. Automatic gesture recognition is one of the popular methods users can control systems with their gestures. This includes various kinds of tracking including the whole body, hands, head, face, etc. We also touch upon a different line of work including Brain-Computer Interface (BCI), Electromyography (EMG) as potential additions to the gesture recognition regime. In this work, we present an overview of several applications of automated gesture recognition systems and a brief look at the popular methods employed.

The Individual Discrimination Location Tracking Technology for Multimodal Interaction at the Exhibition (전시 공간에서 다중 인터랙션을 위한 개인식별 위치 측위 기술 연구)

  • Jung, Hyun-Chul;Kim, Nam-Jin;Choi, Lee-Kwon
    • Journal of Intelligence and Information Systems
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    • v.18 no.2
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    • pp.19-28
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    • 2012
  • After the internet era, we are moving to the ubiquitous society. Nowadays the people are interested in the multimodal interaction technology, which enables audience to naturally interact with the computing environment at the exhibitions such as gallery, museum, and park. Also, there are other attempts to provide additional service based on the location information of the audience, or to improve and deploy interaction between subjects and audience by analyzing the using pattern of the people. In order to provide multimodal interaction service to the audience at the exhibition, it is important to distinguish the individuals and trace their location and route. For the location tracking on the outside, GPS is widely used nowadays. GPS is able to get the real time location of the subjects moving fast, so this is one of the important technologies in the field requiring location tracking service. However, as GPS uses the location tracking method using satellites, the service cannot be used on the inside, because it cannot catch the satellite signal. For this reason, the studies about inside location tracking are going on using very short range communication service such as ZigBee, UWB, RFID, as well as using mobile communication network and wireless lan service. However these technologies have shortcomings in that the audience needs to use additional sensor device and it becomes difficult and expensive as the density of the target area gets higher. In addition, the usual exhibition environment has many obstacles for the network, which makes the performance of the system to fall. Above all these things, the biggest problem is that the interaction method using the devices based on the old technologies cannot provide natural service to the users. Plus the system uses sensor recognition method, so multiple users should equip the devices. Therefore, there is the limitation in the number of the users that can use the system simultaneously. In order to make up for these shortcomings, in this study we suggest a technology that gets the exact location information of the users through the location mapping technology using Wi-Fi and 3d camera of the smartphones. We applied the signal amplitude of access point using wireless lan, to develop inside location tracking system with lower price. AP is cheaper than other devices used in other tracking techniques, and by installing the software to the user's mobile device it can be directly used as the tracking system device. We used the Microsoft Kinect sensor for the 3D Camera. Kinect is equippedwith the function discriminating the depth and human information inside the shooting area. Therefore it is appropriate to extract user's body, vector, and acceleration information with low price. We confirm the location of the audience using the cell ID obtained from the Wi-Fi signal. By using smartphones as the basic device for the location service, we solve the problems of additional tagging device and provide environment that multiple users can get the interaction service simultaneously. 3d cameras located at each cell areas get the exact location and status information of the users. The 3d cameras are connected to the Camera Client, calculate the mapping information aligned to each cells, get the exact information of the users, and get the status and pattern information of the audience. The location mapping technique of Camera Client decreases the error rate that occurs on the inside location service, increases accuracy of individual discrimination in the area through the individual discrimination based on body information, and establishes the foundation of the multimodal interaction technology at the exhibition. Calculated data and information enables the users to get the appropriate interaction service through the main server.

The variability of 6-D Skull Tracking(6DST) in Cyberknife for Bone metastasis patients (사이버나이프 6-D Skull Tracking의 유용성 평가)

  • Lee, Geon Ho;Bae, Sun Myeong;Song, Heung Kwon;Baek, Geum Mun
    • The Journal of Korean Society for Radiation Therapy
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    • v.30 no.1_2
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    • pp.41-47
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    • 2018
  • Purpose : The purpose of this study is to evaluate the usefulness of 6 Dimensional Skull Tracking(6DST) in Cyberknife Stereotactic Body Radiation Therapy(SBRT) for the first and second cervical vertebrae(C1 and C2) metastasis. Methode and material : The Computed Tomography (Lightspeed VCT 64, General Electric Co. Waukesha, WI, USA) was used to acquire the CT images of the 9 patients with cervical vertebrae(C1 and C2) metastasis. Treatment plans for Xsight spine tracking and 6 Dimensional skull tracking were established with planning system (Multiplan system Version 4.6, Accuray, US). The results of XST and 6DST for each patient were analyzed with Microsoft Excel 2010. Result : The Maximum offsets of XST for C1 were 0.9 mm in Y(supero-inferior), 0.9 mm in Z(antero-posterior), 0.7 mm in X(left-right) direction, and rotations were and 1.0 degrees roll, 1.0 degrees pitch and 1.2 degrees yaw. The Maximum offsets of 6DST for C1 were 0.7 mm, 0.7 mm, 0.9 mm and $1.0^{\circ}$, $1.0^{\circ}$, $1.2^{\circ}$ for Y, Z, X and Roll, Pitch, Yaw. The Maximum offsets of XST and 6DST for C2 were 0.7 mm, 0.7 mm, 0.8 mm and $0.9^{\circ}$, $1.0^{\circ}$, $1.8^{\circ}$, and 0.9 mm, 0.7 mm, 0.9 mm and $0.9^{\circ}$, $0.9^{\circ}$, $1.0^{\circ}$ for Y, Z, X and Roll, Pitch, Yaw, respectively. Conclusion : XST and 6DST showed identical results for translations and rotations within the tolerance. It is possible to simplify the treatment time and procedure by using the 6DST. Therefore, 6DST is very useful methode with XST among the various tracking methods in Cyberknife for the patients with C1, C2 vertebral metastasis.

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Effect of Body Posture on the Rest Position and the Rotational Torque Movement of the Mandible (신체 자세의 변화가 하악의 안정위와 비틀림 회전운동에 미치는 영향)

  • Jung, Seung-Ah;Han, Kyung-Soo;Park, Mi-Sung;Yang, Keun-Young
    • Journal of Oral Medicine and Pain
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    • v.25 no.4
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    • pp.383-394
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    • 2000
  • This study was performed to investigate the effect of change of body posture on the rest position and the rotational torque movement of the mandible. Thirty dental students without any signs and symptoms of temporomandibular disorders and with natural dentition were selected for this study. Cervical inclination and the amount of the mandibular movement on protrusion, on left and right excursion, and on tapping in three body postures such as sitting position, supine position without pillow, and supine position with pillow were measured by goniometer, Cervical-Range-of-$Motion^{(R)}$, and mandibular tracking device, $BioEGN^{(R)}$ with $Rotate!^{(R)}$ program. The data obtained were classified and processed according to body posture and type of lateral guidance with SPSS windows program and the results were as follows: 1. There was significant difference among the three cervical inclinations by body postures. 2. Comparison of mandibular rest positions among body postures showed significant difference only for lateral distance in frontal plane, but comparison between before and after swallowing showed significant difference except for the lateral distance, vice versa. 3. Distance and amount of the rotational torque movement on protrusion and/or lateral excursions didn't show any difference by body posture. But by both body posture and lateral guidance type, there were slightly significant difference for some items. 4. A significant difference was shown for the rotational torque movement in frontal plane on tapping by body postures, for the lateral distance in frontal plane on sitting position by lateral guidance type, and for the rotational torque movement in frontal plane by both body posture and lateral guidance type.

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Automatic Detecting of Joint of Human Body and Mapping of Human Body using Humanoid Modeling (인체 모델링을 이용한 인체의 조인트 자동 검출 및 인체 매핑)

  • Kwak, Nae-Joung;Song, Teuk-Seob
    • Journal of the Korea Institute of Information and Communication Engineering
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    • v.15 no.4
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    • pp.851-859
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    • 2011
  • In this paper, we propose the method that automatically extracts the silhouette and the joints of consecutive input image, and track joints to trace object for interaction between human and computer. Also the proposed method presents the action of human being to map human body using joints. To implement the algorithm, we model human body using 14 joints to refer to body size. The proposed method converts RGB color image acquired through a single camera to hue, saturation, value images and extracts body's silhouette using the difference between the background and input. Then we automatically extracts joints using the corner points of the extracted silhouette and the data of body's model. The motion of object is tracted by applying block-matching method to areas around joints among all image and the human's motion is mapped using positions of joints. The proposed method is applied to the test videos and the result shows that the proposed method automatically extracts joints and effectively maps human body by the detected joints. Also the human's action is aptly expressed to reflect locations of the joints

Geant4-DICOM Interface-based Monte Carlo Simulation to Assess Dose Distributions inside the Human Body during X-Ray Irradiation

  • Kim, Sang-Tae
    • International Journal of Contents
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    • v.8 no.2
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    • pp.52-59
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    • 2012
  • This study uses digital imaging and communications in medicine (DICOM) files acquired after CT scan to obtain the absorbed dose distribution inside the body by using the patient's actual anatomical data; uses geometry and tracking (Geant)4 as a way to obtain the accurate absorbed dose distribution inside the body. This method is easier to establish the radioprotection plan through estimating the absorbed dose distribution inside the body compared to the evaluation of absorbed dose using thermo-luminescence dosimeter (TLD) with inferior reliability and accuracy because many variables act on result values with respect to the evaluation of the patient's absorbed dose distribution in diagnostic imaging and the evaluation of absorbed dose using phantom; can contribute to improving reliability accuracy and reproducibility; it makes significance in that it can implement the actual patient's absorbed dose distribution, not just mere estimation using mathematical phantom or humanoid phantom. When comparing the absorbed dose in polymethly methacrylate (PMMA) phantom measured in metal oxide semiconductor field effect transistor (MOSFET) dosimeter for verification of Geant4 and the result of Geant4 simulation, there was $0.46{\pm}4.69%$ ($15{\times}15cm^2$), and $-0.75{\pm}5.19%$ ($20{\times}20cm^2$) difference according to the depth. This study, through the simulation by means of Geant4, suggests a new way to calculate the actual dose of radiation exposure of patients through DICOM interface.

A Study on Methods of Measuring and Compensating Misalignment between Inertial Sensor Body and Housing Frame (관성항법장치의 관성 센서축과 하우징 축과의 비정렬 측정과 보상에 관한 연구)

  • Yu, Hae-Sung;Kim, Tae-Hoon;Kim, Cheon-Joong;Lee, Youn-Seon;Park, Heung-Won
    • Journal of the Korea Institute of Military Science and Technology
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    • v.15 no.4
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    • pp.374-380
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    • 2012
  • In guided missile systems, reducing terminal-position error is the primary objective of the inertial navigation system. As a seeker is used to sense and track a target, the critical function of the inertial navigation system is to provide the seeker with accurate missile attitude information and help the seeker to keep tracking a target continuously. As inertial sensor body and missile body alignment errors are taken into account, it is desirable to minimize the alignment errors between the missile seeker and the attitude of inertial navigation system. Among the alignment errors, this paper addresses the methods of measuring and compensating misalignment between inertial sensor body and housing frame and shows test results of several experiments.

A Non-invasive Real-time Respiratory Organ Motion Tracking System for Image Guided Radio-Therapy (IGRT를 위한 비침습적인 호흡에 의한 장기 움직임 실시간 추적시스템)

  • Kim, Yoon-Jong;Yoon, Uei-Joong
    • Journal of Biomedical Engineering Research
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    • v.28 no.5
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    • pp.676-683
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    • 2007
  • A non-invasive respiratory gated radiotherapy system like those based on external anatomic motion gives better comfortableness to patients than invasive system on treatment. However, higher correlation between the external and internal anatomic motion is required to increase the effectiveness of non-invasive respiratory gated radiotherapy. Both of invasive and non-invasive methods need to track the internal anatomy with the higher precision and rapid response. Especially, the non-invasive method has more difficulty to track the target position successively because of using only image processing. So we developed the system to track the motion for a non-invasive respiratory gated system to accurately find the dynamic position of internal structures such as the diaphragm and tumor. The respiratory organ motion tracking apparatus consists of an image capture board, a fluoroscopy system and a processing computer. After the image board grabs the motion of internal anatomy through the fluoroscopy system, the computer acquires the organ motion tracking data by image processing without any additional physical markers. The patients breathe freely without any forced breath control and coaching, when this experiment was performed. The developed pattern-recognition software could extract the target motion signal in real-time from the acquired fluoroscopic images. The range of mean deviations between the real and acquired target positions was measured for some sample structures in an anatomical model phantom. The mean and max deviation between the real and acquired positions were less than 1mm and 2mm respectively with the standardized movement using a moving stage and an anatomical model phantom. Under the real human body, the mean and maximum distance of the peak to trough was measured 23.5mm and 55.1mm respectively for 13 patients' diaphragm motion. The acquired respiration profile showed that human expiration period was longer than the inspiration period. The above results could be applied to respiratory-gated radiotherapy.