• Title/Summary/Keyword: Leg detection

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Method of Walking Surface Identification Technique for Automatic Change of Walking Mode of Intelligent Bionic Leg (지능형 의족의 보행모드 자동변경을 위한 보행노면 판별 기법)

  • Yoo, Seong-Bong;Lim, Young-Kwang;Eom, Su-Hong;Lee, Eung-Hyuk
    • Journal of rehabilitation welfare engineering & assistive technology
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    • v.11 no.1
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    • pp.81-89
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    • 2017
  • In this paper, we propose a gait pattern recognition method for intelligent prosthesis that enables walking in various environments of femoral amputees. The proposed gait mode changing method is a single sensor based algorithm which can discriminate gait surface and gait phase using only strain gauges sensor, and it is designed to simplify the algorithm based on multiple sensors of existing intelligent prosthesis and to reduce cost of prosthesis system. For the recognition algorithm, we analyzed characteristics of the ground reaction force generated during gait of normal person and defined gait step segmentation and gait detection condition, A gait analyzer was constructed for the gait experiment in the environment similar to the femoral amputee. The validity of the paper was verified through the defined detection conditions and fabricated instruments. The accuracy of the algorithm based on the single sensor was 95%. Based on the proposed single sensor-based algorithm, it is considered that the intelligent prosthesis system can be made inexpensive, and the user can directly grasp the state of the walking surface and shift the walking mode. It is confirmed that it is possible to change the automatic walking mode to switch the walking mode that is suitable for the walking mode.

Sensitivity Analysis and Optimization of Design Variables Related to an Algorithm for Loss of Balance Detection (균형상살 검출 알고리즘에서 검출과 관련된 설계변수의 민감도 해석 몇 최적화)

  • Ko, B.K.;Kim, K.H.;Son, K.
    • Journal of Biomedical Engineering Research
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    • v.32 no.1
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    • pp.7-14
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    • 2011
  • This study suggested an optimized algorithm for detecting the loss of balance(LOB) in the seated position. And the sensitivity analysis was performed in order to identify the role of each design variable in the algorithm. The LOB algorithm consisted of data processing of measured signals, an internal model of the central nervous system and a control error anomaly(CEA) detector. This study optimized design variables of a CEA detector to obtain improved values of the success rate(SR) of detecting the LOB and the margin time(MT) provided for preventing the falling. Nine healthy adult volunteers were involved in the experiments. All the subjects were asked to balance their body in a predescribed seated posture with the rear legs of a four-legged wooden chair. The ground reaction force from the right leg was measured from the force plate while the accelerations of the chair and the head were measured from a couple of piezoelectric accelerometers. The measured data were processed to predict the LOB using a detection algorithm. Variables S2, h2 and hd are related to the detector: S2 represents a data selecting window, h2 a time shift and hd an operating period of the LOB detection algorithm. S2 was varied from 0.1 to 10 sec with an increment of 0.1 sec, and both h2 and hd were varied from 0.01 to 1.0 sec with an increment of 0.01 sec. It was found that the SR and MT were increased by up to 9.7% and 0.497 sec comparing with the previously published case when the values of S2, h2 and hd were set to 4.5, 0.3 and 0.2 sec, respectively. Also the results of sensitivity analysis showed that S2 and h2 had considerable influence on the SR while these variables were not so sensitive to the MT.

Incidental Detection of a Pseudoaneurysm at an Amputation Stump in a Tc-99m HMPAO labeled Leukocyte Scan (Tc-99m HMPAO 표지 백혈구스캔상 대퇴 절주에서 우연히 발견된 가성동맥류)

  • Sohn, Myung-Hee;Jeong, Hwan-Jeong;Lim, Seok-Tae
    • Nuclear Medicine and Molecular Imaging
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    • v.41 no.4
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    • pp.337-338
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    • 2007
  • A 20-year-old man underwent a Tc-99m HMPAO labeled leukocyte scan for the evaluation of an infection at the stump of an AK amputation, which was conducted due to an open communicated fracture of the left lower leg. Blood-flow and blood-pool images demonstrated a pseudoaneurysm with a focus of intense activity medial to the stump, and centered within a large photopenic defect by surrounding hematoma. Delayed image obtained at 3 hours post-injection showed persistent intense and slight increased activity, Contrast angiography confirmed the presence of a pseudoaneurysm arising from a branch of the left superficial femoral artery.

Detecting the Direction of Vibration Inspired by Prey Detection Behavior of Sand Scorpions (사막 전갈의 진동 감지 행동을 모델로 한 진원지 방향 추정 기법)

  • Jeong, Eun-Seok;Kim, Dae-Eun
    • Journal of Institute of Control, Robotics and Systems
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    • v.18 no.10
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    • pp.947-954
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    • 2012
  • Sand scorpions are nocturnal animals to mostly use tactile senses to detect their prey. It has been reported that sand scorpions have high vibration sensitivity for their prey-localizing behavior. We tested vibration experiments in the sand with microphone sensors to model the sand scorpion's behavior and a time-difference model was applied to find the direction of a vibration source. Using the information of the arrival time of the vibration signal to reach each leg position, we can find the location of the vibration source.

Robust RGB image-based gait analysis in various environment (다양한 환경에 강건한 RGB 영상 기반 보행 분석)

  • Ahn, Ji-min;Jeung, Gyeo-wun;Shin, Dong-in;Won, Geon;Park, Jong-beom
    • Proceedings of the Korean Institute of Information and Commucation Sciences Conference
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    • 2018.10a
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    • pp.441-443
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    • 2018
  • This paper deals with the analysis of leg motion using RGB image. We used RGB image as gait analysis element by using BMC(Background Model Challenge) method and by using combining object recognition segmentation algorithm and attitude detection algorithm. It is considered that gait analysis incorporating image can be used as a parameter for classification of gait pattern recognition and abnormal gait.

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Detection of Mendelian and Parent-of-origin Quantitative Trait Loci in a Cross between Korean Native Pig and Landrace I. Growth and Body Composition Traits

  • Kim, E.H.;Choi, B.H.;Kim, K.S.;Lee, C.K.;Cho, B.W.;Kim, T.-H.;Kim, J.-J.
    • Asian-Australasian Journal of Animal Sciences
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    • v.20 no.5
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    • pp.669-676
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    • 2007
  • This study was conducted to detect quantitative trait loci (QTL) affecting growth and body composition in an $F_2$ reference population of Korean native pig and Landrace crossbreds. The three-generation mapping population was generated with 411 progeny from 38 $F_2$ full-sib families, and 133 genetic markers were used to produce a sex-average map of the 18 autosomes. The data set was analyzed using least squares Mendelian and parent-of-origin interval-mapping models. Lack-of-fit tests between the models were used to characterize QTL for mode of expressions. A total of 8 (39) QTL were detected at the 5% genome (chromosome)-wise level for the 17 analyzed traits. Of the 47 QTL detected, 21 QTL were classified as Mendelian expressed, 13 QTL as paternally expressed, 6 QTL as maternally expressed, and 7 QTL as partially expressed. Of the detected QTL at 5% genome-wise level, two QTL had Mendelian mode of inheritance on SSC6 and SSC9 for backfat thickness and bone weight, respectively, two QTL were maternally expressed for leather weight and front leg weight on SSC6 and SSC12, respectively, one QTL was paternally expressed for birth weight on SSC4, and three QTL were partially expressed for hot carcass weight and rear leg weight on SSC6, and bone weight on SSC13. Many of the Mendelian QTL had a dominant (complete or overdominant) mode of gene action, and only a few of the QTL were primarily additive, which reflects that heterosis for growth is appreciable in a cross between Korean native pig and Landrace. Our results indicate that alternate breed alleles of growth and body composition QTL are segregating between the two breeds, which could be utilized for genetic improvement of growth via marker-assisted selection.

Clinical Value of Physical Examination and Electromyography in Acute and Chronic Lumbosacral Radiculopathy (급, 만성 요천추부 신경근병증 환자의 신체진찰과 근전도의 임상적 의미)

  • Jeoung, Ju Hyong;Jeong, Ha Mok;Kang, Seok;Yoon, Joon Shik
    • Clinical Pain
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    • v.19 no.2
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    • pp.90-96
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    • 2020
  • Objective: To investigate the diagnostic accuracy of two physical examinations (straight leg raise [SLR] and Bragard test) and electromyography (EMG) in patients with lumbosacral monoradiculopathy in acute and chronic state on confirmation of different diagnostic criteria (MRI vs MRI and diagnostic selective nerve root block [DSNRB]). Method: We identified 297 participants retrospectively from the departmental database. MRI evidence of L5 or S1 nerve root compression and a positive result in diagnostic SNRB served as reference standards. They were divided into two groups by the symptom duration: lasting more than 12 weeks in the chronic group and less than 12 weeks in the acute group. The diagnostic value of clinical tests and EMG were compared. Results: The clinical tests (SLR and Bragard test) done in acute stage on detection by MRI and DSNRB had the highest sensitivity (68%) compared to the chronic stage (63%), but sensitivity was low (57%) on confirmation of MRI alone. However, there was no significant difference on sensitivity and specificity of EMG regardless of reference standards and symptom duration. Electromyography was a significant predictor of neuropathic abnormalities on both acute (OR, 6.3; 95% CI, 2.4 to 16.7; p<0.01) and chronic (OR, 6.8; 95% CI, 2.9 to 16.3; p<0.01). Conclusion: In general, individual physical tests are easy to do and a combination of those tests could be a sensitive indicator of L5 or S1 radiculopathy. Furthermore, the use of provocation tests could provide useful information, especially in proceeding therapeutic selective nerve root block.

Multi-legged robot system enabled to decide route and recognize obstacle based on hand posture recognition (손모양 인식기반의 경로교사와 장애물 인식이 가능한 자율보행 다족로봇 시스템)

  • Kim, Min-Sung;Jeong, Woo-Won;Kwan, Bae-Guen;Kang, Dong-Joong
    • Journal of the Korea Institute of Information and Communication Engineering
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    • v.14 no.8
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    • pp.1925-1936
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    • 2010
  • In this paper, multi-legged robot was designed and produced using stable walking pattern algorithm. The robot had embedded camera and wireless communication function and it is possible to recognize both hand posture and obstacles. The algorithm decided moving paths, and recognized and avoided obstacles through Hough Transform using Edge Detection of inputed image from image sensor. The robot can be controlled by hand posture using Mahalanobis Distance and average value of skin's color pixel, which is previously learned in order to decide the destination. The developed system has shown obstacle detection rate of 96% and hand posture recognition rate of 94%.

Quadruped Robot for Walking on the Uneven Terrain and Object Detection using Deep Learning (딥러닝을 이용한 객체검출과 비평탄 지형 보행을 위한 4족 로봇)

  • Myeong Suk Pak;Seong Min Ha;Sang Hoon Kim
    • KIPS Transactions on Software and Data Engineering
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    • v.12 no.5
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    • pp.237-242
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    • 2023
  • Research on high-performance walking robots is being actively conducted, and quadruped walking robots are receiving a lot of attention due to their excellent mobility and adaptability on uneven terrain, but they are difficult to introduce and utilize due to high cost. In this paper, to increase utilization by applying intelligent functions to a low-cost quadruped robot, we present a method of improving uneven terrain overcoming ability by mounting IMU and reinforcement learning on embedded board and automatically detecting objects using camera and deep learning. The robot consists of the legs of a quadruped mammal, and each leg has three degrees of freedom. We train complex terrain in simulation environments with designed 3D model and apply it to real robot. Through the application of this research method, it was confirmed that there was no significant difference in walking ability between flat and non-flat terrain, and the behavior of performing person detection in real time under limited experimental conditions was confirmed.

Symptomatic Post-Discectomy Pseudocyst after Endoscopic Lumbar Discectomy

  • Kang, Suk-Hyung;Park, Seung-Won
    • Journal of Korean Neurosurgical Society
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    • v.49 no.1
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    • pp.31-36
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    • 2011
  • Objective: The objectives of this study were to determine the frequency of symptomatic postdiscectomy pseudocyst (PP) after endoscopic discectomy and to compare the results of surgical and conservative management of them. Methods: Initial study participants were 1,503 cases (1,406 patients) receiving endoscopic lumbar discectomy by 23-member board of neurosurgeons from March 2003 to October 2008. All patients' postoperative magnetic resonance imaging (MRI) scans were evaluated. On the postoperative MRI, cystic lesion of T2W high and T1W low at discectomy site was regarded as PP. Reviews of medical records and radiological findings were done. The PP patients were divided into two groups, surgical and conservative management by treatment modality after PP detection. We compared the results of the two groups using the visual analogue scale (VAS) for low back pain (LBP), VAS for leg pain (LP) and the Oswestry disability index (ODI). Results: Among 1,503 cases of all male soldiers, the MRls showed that pseudocysts formed in 15 patients, about 1.0% of the initial cases. The mean postoperative interval from surgery to PP detection was 53.7 days. Interlaminar approach was correlated with PP formation compared with transforaminal approach. (p=0.001).The mean VAS for LBP and LP in the surgical group improved from 6.5 and 4.8 to 2.0 and 2.3, respectively. The mean VAS for LBP and LP in the conservative group improved from 4.4 and 4.4 to 3.9 and 2.3, respectively. There was no difference in treatment outcome between surgical and conservative management of symptomatic PP. Conclusion: Although this study was done in limited environment, symptomatic PP was detected at two months' postoperative period in about 1% of cases. Interlaminar approach seems to be more related with PP compared with transforaminal approach.