• Title/Summary/Keyword: Motion classification

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Marker Classification by Sensor Fusion for Hand Pose Tracking in HMD Environments using MLP (HMD 환경에서 사용자 손의 자세 추정을 위한 MLP 기반 마커 분류)

  • Vu, Luc Cong;Choi, Eun-Seok;You, Bum-Jae
    • Proceedings of the Korea Information Processing Society Conference
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    • 2018.10a
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    • pp.920-922
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    • 2018
  • This paper describes a method to classify simple circular artificial markers on surfaces of a box on the back of hand to detect the pose of user's hand for VR/AR applications by using a Leap Motion camera and two IMU sensors. One IMU sensor is located in the box and the other IMU sensor is fixed with the camera. Multi-layer Perceptron (MLP) algorithm is adopted to classify artificial markers on each surface tracked by the camera using IMU sensor data. It is experimented successfully in real-time, 70Hz, under PC environments.

AUTOMATIC BUILDING EXTRACTION BASED ON MULTI-SOURCE DATA FUSION

  • Lu, Yi Hui;Trinder, John
    • Proceedings of the KSRS Conference
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    • 2003.11a
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    • pp.248-250
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    • 2003
  • An automatic approach and strategy for extracting building information from aerial images using combined image analysis and interpretation techniques is described in this paper. A dense DSM is obtained by stereo image matching. Multi-band classification, DSM, texture segmentation and Normalised Difference Vegetation Index (NDVI) are used to reveal building interest areas. Then, based on the derived approximate building areas, a shape modelling algorithm based on the level set formulation of curve and surface motion has been used to precisely delineate the building boundaries. Data fusion, based on the Dempster-Shafer technique, is used to interpret simultaneously knowledge from several data sources of the same region, to find the intersection of propositions on extracted information derived from several datasets, together with their associated probabilities. A number of test areas, which include buildings with different sizes, shape and roof colour have been investigated. The tests are encouraging and demonstrate that the system is effective for building extraction, and the determination of more accurate elevations of the terrain surface.

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Classification of K-POP Dance Motion Using Multilinear PCA (다선형 PCA를 이용한 K-POP 댄스모션 분류)

  • Lee, Jae-Neung;Kwak, Keun-Chang
    • Proceedings of the Korea Information Processing Society Conference
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    • 2018.05a
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    • pp.486-487
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    • 2018
  • 본 논문에서는 다선형 PCA(Principal Component Analysis)를 이용한 키넥트 센서 기반 댄스 모션분류방법을 제안한다. 댄스 모션 분류를 수행하기 위해서, 먼저 키넥트 데이터 깊이 영상과 이진영상을 보간법을 통해 데이터의 크기를 정렬시켜준다. 다음으로 다선형 주성분 분석 기법 (MPCA)을 이용하여 연속된 댄스모션영상들에 대한 특징을 추출하고, 유클리디안 분류기를 통해 클래스 분류한다. 본 실험에 사용된 데이터베이스는 키넥트 센서를 기반으로 전문 댄서 4명을 통해 취득된다. 총 100곡의 K-POP을 선정하였고, 곡마다 2개의 포인트 안무를 통해 총 200개의 포인트 댄스모션 데이터베이스를 구축하였다. 실험결과 제안된 방법은 89.5%의 성능을 나타낸다.

Selection of Fusion Level for Adolescent Idiopathic Scoliosis Surgery : Selective Fusion versus Postoperative Decompensation

  • Kim, Do-Hyoung;Hyun, Seung-Jae;Kim, Ki-Jeong
    • Journal of Korean Neurosurgical Society
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    • v.64 no.4
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    • pp.473-485
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    • 2021
  • Adolescent idiopathic scoliosis (AIS), which is associated with an extensive range of clinical and radiological presentations, is the one of the most challenging spinal disorders. The goals of surgery are to correct the deformity in 3 dimensions and to preserve motion segments while avoiding complications. Despite the ongoing evolution of classification systems and algorithms for the surgical treatment of AIS, there has been considerable debate regarding the selection of an appropriate fusion level in AIS. In addition, there is no consensus regarding the exact description, relationship, and risk factors of coronal decompensation following selective fusion. In this review, we summarize the current concepts of selection of the fusion level for AIS and review the available information about postoperative coronal decompensation.

Combined Korean Medicine Treatment of Paraplegia Cause by Spinal Cord Infarction: Case Report (척수경색으로 인한 하지마비 환자의 복합한방치료: 증례보고)

  • Jeong, JiHong;Kim, SoonJoong
    • Journal of Korean Medicine Rehabilitation
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    • v.31 no.1
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    • pp.175-185
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    • 2021
  • The objective of this study was to purpose korean medicine treatment for paraplegia and hypoesthesia after spinal cord infarction, and report its effectiveness. We treated a 74-year-old male patient diagnosed with spinal cord infarction using various methods, including acupuncture, herbal medication, moxibustion, physical therapy, western medication. We evaluated patient's motor ability using the manual muscle test (MMT), active range of motion (AROM), walking index for spinal cord injury II( WISCI II) and sense ability using International Standards for Neurological Classification of Spinal Cord Injury (ISNCSCI). After treatment, motor and sense ability of patient was improved after treatment. The MMT, AROM, WISCI II scores and ISNCSCI scores were numerically improved. According to these results, this study suggested effectiveness of combined Korean medical treatment for spinal cord infarction. However, More studies are required in the future.

Motion Detection and Classification Using Deep Learning (딥 러닝을 사용한 동작 감지 및 분류)

  • Kim, Jiwoon;Kim, Dahui;Kim, Dong Hyun;Jang, Seung Soon;Cho, Hee Je;Han, Yeoung Jin;Kim, Jeongchang
    • Proceedings of the Korean Society of Broadcast Engineers Conference
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    • fall
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    • pp.205-207
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    • 2021
  • 본 논문에서는 딥러닝 (deeo learning)을 이용하여 x, y, z 세 축의 가속도계 측정 값을 이용하여 5가지 동작을 분류하고, 5가지의 동작이 아닌 다른 동작이 들어왔을 때 아닌 동작이라 판단할 수 있는 알고리즘을 제시한다. 제안하는 알고리즘으로는 동작 데이터 각 샘플 마다의 동작을 분류한 개별 판단을 적용하여 5가지 동작을 분류하고 5가지 동작이 아닌 다른 동작이 들어왔을 때 검출하도록 한다.

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G-PCC based Global Motion Compression Method Using Histogram-Based Point Cloud Classification (히스토그램 기반 포인트 클라우드 분할을 활용한 G-PCC 기반의 전역 움직임 압축 방안)

  • Kim, Junsik;Hwang, Yonghae;Kim, Kyuheon
    • Proceedings of the Korean Society of Broadcast Engineers Conference
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    • 2021.06a
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    • pp.157-160
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    • 2021
  • 프레임 단위 LiDAR (Light Detection And Ranging) 기반의 포인트 클라우드는 프레임 간 상관 관계가 높기 때문에 프레임 사이의 예측 기법을 사용하여 더 높은 압축 효율을 얻을 수 있으며, 이를 위해 MPEG의 G-PCC는 Inter-EM (Inter-Exploratory Model)의 표준화를 진행하고 있다. 특히, Inter-EM은 LiDAR 기반 포인트 클라우드의 이러한 특성을 효율적으로 압축하기 위해 전역 및 지역 움직임을 모두 고려하여 압축하는 구조로 설계되었다. 이 중 전역 움직임은 LiDAR 센서가 장착된 차량의 움직임으로 인해 발생되므로, 포인트 클라우드 내 모든 물체들이 동일한 움직임을 나타낼 것으로 예상된다. 하지만, LiDAR 기반 포인트 클라우드는 포인트 클라우드 내 점들의 특성에 따라서 전역 움직임이 나타나는 양상이 다르다. 본 논문은 이러한 LiDAR 기반 포인트 클라우드의 특성을 설명하고, LiDAR 기반 포인트 클라우드 압축 시 전역 움직임 압축을 위한 포인트 클라우드 분할 방안에 대해 제안한다. 본 논문에서 제안하는 포인트 클라우드 분할 방안을 활용한 전역 움직임 압축 시 기존 Inter-EM 대비 더 효율적인 압축이 가능하다.

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Comprehensive Approaches to Shoulder Impingement Syndrome: From Diagnosis to Rehabilitation

  • Jung-Ho Lee
    • International Journal of Advanced Culture Technology
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    • v.12 no.2
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    • pp.90-97
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    • 2024
  • Shoulder impingement syndrome (SIS) is a common musculoskeletal condition characterized by pain and functional limitation due to the impingement of subacromial structures. This comprehensive review elucidates the complex nature of SIS, covering its pathophysiology, diagnostic methodologies, treatment options, and preventive measures. Through an exhaustive examination of current literature and clinical practices, the review highlights the importance of a multifaceted approach to SIS management. Physical therapy plays a pivotal role, focusing on exercises to strengthen shoulder musculature, enhance scapular stability, and improve range of motion. The review also discusses the strategic use of medications such as NSAIDs and corticosteroid injections, emphasizing their effectiveness in pain and inflammation management. Additionally, it advocates for structured rehabilitation programs post-treatment to restore function and prevent recurrence, recommending preventive strategies like ergonomic adjustments, targeted exercises, and proper technique training. This paper underscores the need for personalized and evidence-based treatment strategies, integrating physical therapy and pharmacological management when necessary.

Spinopelvic Motion: A Simplified Approach to a Complex Subject

  • Cale A. Pagan;Theofilos Karasavvidis;Jonathan M. Vigdorchik;Charles A. DeCook
    • Hip & pelvis
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    • v.36 no.2
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    • pp.77-86
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    • 2024
  • Knowledge of the relationship between the hip and spine is essential in the effort to minimize instability and improve outcomes following total hip arthroplasty (THA). A detailed yet straightforward preoperative imaging workup can provide valuable information on pelvic positioning, which may be helpful for optimum placement of the acetabular cup. For a streamlined preoperative assessment of THA candidates, classification systems with a capacity for providing a more personalized approach to performance of THA have been introduced. Familiarity with these systems and their clinical application is important in the effort to optimize component placement and reduce the risk of instability. Looking ahead, the principles of the hip-spine relationship are being integrated using emerging innovative technologies, promising further streamlining of the evaluation process.

Factor Analysis of Decreased Score on Coronary Artery Calcium Score (관상동맥 석회화점수 감소 요인 분석)

  • Shim, Jae-Goo;Kim, Yon-Min;Kim, Jin-Woo
    • Journal of the Korean Society of Radiology
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    • v.10 no.4
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    • pp.285-290
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    • 2016
  • The purpose of our study was to retrospectively evaluate the cause of a decreased calcium score of follow-up studies on coronary artery calcium scores (CACs) computed tomography (CT). The subjects were healthy 100 people(85 males $60.6{\pm}6.9$ years, 15 females $67.2{\pm}7.3$ years). The subjects decreased CACs were divided into 4 subgroups depending on Agatston classification, minimal (1-10), mild (11-100), moderate (101-400), severe (400<). As a result of decreased CACs were scan location disagreement 51%, motion artifact 26%, equipment changes 14%, operator mistakes 5%, input miss 2%, image loss 1%, arrhythmia 1%. In the mild group, the most common decreased CACs were 49 people. In the minimal group, the most significant variation reduction has occurred to 6 people. Scan location disagreement was considered a partial volume effects due to the scan starting position. It showed less than 100 CACs a high variation (19.7%) in more than 100 CACs, a lower variation (2.2%), these could be seen that the variation range is different that can be tolerated according to the calcification score. Motion artifact factor was found in 26%, which is so closely related to the preceding tests that affect the higher heart rate like this pulmonary function test, exercise stress test.