• Title/Summary/Keyword: human movement

Search Result 1,384, Processing Time 0.031 seconds

The Age Related Changes of Thickness and Symmetry of Deep Trunk Muscles (노화에 따른 심부 복부근육의 두께 변화와 대칭성 변화)

  • Seo, Dong-Kwon;Lee, Seung-Won
    • Journal of the Korean Society of Physical Medicine
    • /
    • v.8 no.3
    • /
    • pp.379-385
    • /
    • 2013
  • PURPOSE: This study is research about deep trunk muscles (DTM) that is important and serve to control the movement of the trunk to provide stability during movement for human. In this study, trying to prove a change of DTM of aging in the ultrasound image. METHODS: We measured via an ultrasound image during rest and contraction of DTM in 42 young and 48 old people, and then we measured the change of thickness and symmetry. RESULTS: Symmetry showed a significant difference only external oblique (EO) in the young(p<.05). In the elderly, it was found that ratio of contraction was greater transverse abdominis than EO. CONCLUSION: I considered it could lead to improvement of activity of daily life by applying intervention for recovery of motor control of TrA for the elderly in clinical practice.

Vision-based recognition of a simple non-verbal intent representation by head movements (고개운동에 의한 단순 비언어 의사표현의 비전인식)

  • Yu, Gi-Ho;No, Deok-Su;Lee, Seong-Cheol
    • Journal of the Ergonomics Society of Korea
    • /
    • v.19 no.1
    • /
    • pp.91-100
    • /
    • 2000
  • In this paper the intent recognition system which recognizes the human's head movements as a simple non-verbal intent representation is presented. The system recognizes five basic intent representations. i.e., strong/weak affirmation. strong/weak negation, and ambiguity by image processing of nodding or shaking movements of head. The vision system for tracking the head movements is composed of CCD camera, image processing board and personal computer. The modified template matching method which replaces the reference image with the searched target image in the previous step is used for the robust tracking of the head movements. For the improvement of the processing speed, the searching is performed in the pyramid representation of the original image. By inspecting the variance of the head movement trajectories. we can recognizes the two basic intent representations - affirmation and negation. Also, by focusing the speed of the head movements, we can see the possibility which recognizes the strength of the intent representation.

  • PDF

Parameter Analysis of Muscle Models for Arm Movement (팔 근육운동의 파라미터 분석)

  • Kim, Lae-Kyeom;Tak, Tae-Oh
    • Journal of Industrial Technology
    • /
    • v.28 no.A
    • /
    • pp.155-161
    • /
    • 2008
  • Muscle force prediction in forward dynamic analysis of human motion depends many muscle parameters associated with muscle actuation. This research studies the effects of various parameters of Hill type muscle model using the simple hand raising motion. Motion analysis is carried out using motion capture system, and each muscle force is recorded for comparison with muscle model generated muscle force. Using Hill type muscle model, muscle force for generating the same hand rasing motion was setup adjusting 5 activation parameters. The test showed the importance of activation parameters on the accurate generation of muscle force.

  • PDF

A Database of Caenorhabditis elegans Locomotion and Body Posture Phenotypes for the Peripheral Neuropathy Model

  • Chung, Ki Wha;Kim, Ju Seong;Lee, Kyung Suk
    • Molecules and Cells
    • /
    • v.43 no.10
    • /
    • pp.880-888
    • /
    • 2020
  • Inherited peripheral neuropathy is a heterogeneous group of peripheral neurodegenerative disorders including Charcot-Marie-Tooth disease. Many peripheral neuropathies often accompany impaired axonal construction and function. To study the molecular and cellular basis of axon-defective peripheral neuropathy, we explore the possibility of using Caenorhabditis elegans, a powerful nematode model equipped with a variety of genetics and imaging tools. In search of potential candidates of C. elegans peripheral neuropathy models, we monitored the movement and the body posture patterns of 26 C. elegans strains with disruption of genes associated with various peripheral neuropathies and compiled a database of their phenotypes. Our assay showed that movement features of the worms with mutations in HSPB1, MFN2, DYNC1H1, and KIF1B human homologues are significantly different from the control strain, suggesting they are viable candidates for C. elegans peripheral neuropathy models.

A Study on Emotional Tendency within Space Design - Focused on human body and movement - (공간디자인에서의 감성적 경향에 관한 연구 - 인간의 '몸'과 '움직임'을 중심으로 -)

  • 오영근
    • Korean Institute of Interior Design Journal
    • /
    • v.13 no.2
    • /
    • pp.192-199
    • /
    • 2004
  • This study is to understand the emotional tendency through out the history of architecture and interior design. In this process, a broad range of analysis of the period between Romanticism and Post Modernism will be done to collect historical data and the influence of the social situation. A thorough review and close examination of the 90's architectural trend will reveal the foundation of the concept behind GSD not just as the post-structuralism as a value system of digitalism but also makes easy to understand GSD in space design. In particular, the study will reveal how the ideas of post-structural philosophy has effected the formation of its movement as well as its influence to become the theoretical nutrition for digital architecture. The result of the study will be used as the valuable reference to define 'Emotional Design'(So call 'Gam-Sung Design = GSD) and become the foundation for further investigation on GSD space design in the near future.

Detection of AGV's position and orientation using laser slit beam (회전 Laser 슬릿 빔을 이용한 AGV의 위치 및 자세의 검출)

  • 박건국;김선호;박경택;안중환
    • Proceedings of the Korean Institute of Navigation and Port Research Conference
    • /
    • 2000.11a
    • /
    • pp.219-225
    • /
    • 2000
  • The major movement block of the containers have range between apron and designation points on yard in container terminal. The yard tractor operated by human takes charge of its movement in conventional container terminal. In automated container terminal, AGV(Automated Guided Vehicle) has charge of the yard tractor's role and the navigation path is ordered from upper level control system. The automated container terminal facilities must have the docking system to guide landing line to have high speed travelling and precision positioning. The general method for docking system uses the vision system with CCD camera, infra red, and laser. This paper describes the detection of AGV's position and orientation using laser slit beam to develop docking system.

  • PDF

Investigation of the 2013 Hadari Debris Flow in Korea Through Field Survey and Numerical Analysis

  • Choi, Junghae
    • The Journal of Engineering Geology
    • /
    • v.28 no.3
    • /
    • pp.341-348
    • /
    • 2018
  • Landslides can be caused by localized intense rainfall. The loss of human lives and damage to property from landslides is increasing. However, little information exists on the movement and flow of sediment material at the time of rapid landslides. In this study, a field survey was conducted of landslides that occurred in 2013 in the Hadari area of Yeoju city in Korea. This was followed by numerical analysis. The purpose is to analyze the characteristics of a consequent debris flow and its movement at the time of failure. The results of the field survey and numerical analysis are consistent with each other. The maximum velocity of the debris flow was ~9.335 m/s and the maximum sediment thickness ~4.674 m. The latter is similar to the traces of debris flow observed in the field.

Pattern Recognition of EMG Signal using Artificial Neural Network (신경회로망을 이용한 근전도 신호의 특성분석 및 패턴 분류)

  • Yi, Seok-Joo;Lee, Sung-Hwan;Cho, Young-Jo
    • Proceedings of the KIEE Conference
    • /
    • 2000.11d
    • /
    • pp.769-771
    • /
    • 2000
  • In this paper, pattern recognition scheme for EMG signal using artificial neural network is proposed. For manipulating ability, the movements of human arm are classified into several categories EMG signals of appropriate muscles are collected during arm movement. Patterns of EMG signals of each movement are recognized as follows: 1) The features of each EMG signal are extracted. 2) With these features, the neural network is trained by using feedforward error back-propagation (FFEBP) algorithm. The results show that the arm movements can be classified with EMG signals at high accuracy.

  • PDF

Improved Feature Extraction of Hand Movement EEG Signals based on Independent Component Analysis and Spatial Filter

  • Nguyen, Thanh Ha;Park, Seung-Min;Ko, Kwang-Eun;Sim, Kwee-Bo
    • Journal of the Korean Institute of Intelligent Systems
    • /
    • v.22 no.4
    • /
    • pp.515-520
    • /
    • 2012
  • In brain computer interface (BCI) system, the most important part is classification of human thoughts in order to translate into commands. The more accuracy result in classification the system gets, the more effective BCI system is. To increase the quality of BCI system, we proposed to reduce noise and artifact from the recording data to analyzing data. We used auditory stimuli instead of visual ones to eliminate the eye movement, unwanted visual activation, gaze control. We applied independent component analysis (ICA) algorithm to purify the sources which constructed the raw signals. One of the most famous spatial filter in BCI context is common spatial patterns (CSP), which maximize one class while minimize the other by using covariance matrix. ICA and CSP also do the filter job, as a raw filter and refinement, which increase the classification result of linear discriminant analysis (LDA).

Measurement and Strategies for Dynamic Stability During Locomotion on a Slippery Surface (미끄럼 바닥에서 안정성 유지를 위한 균형 전략과 평가방법)

  • Kim, Tack-Hoon;Yoon, Doo-Sik
    • Physical Therapy Korea
    • /
    • v.10 no.1
    • /
    • pp.97-108
    • /
    • 2003
  • Slipping during various kinds of movement often leads to potentially dangerous incidents of falling. The purpose of this paper was to review some of the research performed in the field including such topics as rating scales for balance, kinematics and kinetics of slipping, adaptation to slippery conditions, postural and balance control, and protective movement during falling. Controlling slipping and fall injuries requires a multifaceted approach. Environmental conditions (state of floor surface, tidiness, lighting, etc), work task (walking, carrying, pushing, lifting, etc), and human behavior (anticipation of hazards, adaptation to risks, risk taking, etc) must be accounted for in the assessment of slip and fall-related risks. Future directions of research must deal with modeling of basic tribophysical, biomechanical, and postural control process involved in slipping and falling.

  • PDF