Improvement of Three-dimensional Motion Analyzer System for the Development of Indonesian Gait Database

Chandra, Dissa R.; Anggraeni, Nina Dwi; Dirgantara, Tatacipta; Mihradi, Sandro; Mahyuddin, Andi Isra

doi:10.1016/j.promfg.2015.07.047

Cited by 5 publications

(6 citation statements)

References 1 publication

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“…Table 2 presents the spatiotemporal parameters of the normal and amputee subjects. The parameters of over ground walking from the study conducted by Chandra et al [8] is used as a comparison. Note that the parameters on the sound and prosthetic foot of amputee are obtained when the markers are attached on the sound and prosthetic foot of amputee subjects, respectively.…”

Section: Resultsmentioning

confidence: 99%

“…The motion analyzer system in the previous study [8] used two cameras that were connected to the frame grabber in the workstation. The cameras used in the system were Sentech STC-CLC33A with the speed 95 frames per second.…”

Section: Methodsmentioning

confidence: 99%

“…Then, the developed 2D motion analyzer system was used to collect Indonesian normal gait database in 2011 [6]. In order to obtain more complete gait parameters, the motion analyzer was further developed to three-dimensional (3D) system in 2011 -2013 [7,8]. The 3D motion analyzer system was then used for gait analysis of subject with scoliosis in 2014 -2015 [9].…”

Section: Introductionmentioning

confidence: 99%

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Development of a 3D Gait Measurement Protocol for Amputees Walking on Treadmill

Ferryanto¹,

Herman²,

Mihradi³

et al. 2017

MESIN

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Abstract. Walking motion is actually a complex activity since it involves many body parts, especially the lower limb. Due to the needs for gait analysis in many medical applications, Biomechanics Research Team at ITB has developed an affordable optical motion analyzer to measure motions of subject walking over ground. However, the needs for multicycles gait data is better met by measuring subjects walking on treadmill. This paper discusses the modification of the developed motion analyzer to accommodate data acquisition of subject walking on treadmill, including those of transfemoral amputees. Seven markers, two 95 fps cameras, a dual-channel Camera Link Acquisition NI PCIe-1430 frame grabber, and a workstation are employed in the optical motion analyzer system. The speed displayed on the treadmill is evaluated. Additional equipment such as the modified hydraulic engine crane and the body harness are introduced to ensure the safety of amputees and avoid the risk of falling down while walking on the treadmill. The modified motion analyzer system is then used to obtain gait parameters of normal (37 males and 31 females) and three amputee subjects. The gait parameters of normal subjects in the treadmill walking shows that there is a decrease in the stride length and range of motion, and increase in the cadence due to walking adaptation. There are also phase shifting and increase in the range of motion for amputee subjects compared to the normal subjects which imply that there is an extra work done by the residual limb in doing walking movement and the amputee subjects try to balance their walking on the treadmill.

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Section: Resultsmentioning

confidence: 99%

Section: Methodsmentioning

confidence: 99%

Section: Introductionmentioning

confidence: 99%

See 1 more Smart Citation

Development of a 3D Gait Measurement Protocol for Amputees Walking on Treadmill

Ferryanto¹,

Herman²,

Mihradi³

et al. 2017

MESIN

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show abstract

“…The image sequence-based methods generally collect gait information over long distance by camera, and identifies the gait through feature extraction and classification. For instance, Chandra et al [12] successfully recognized gaits with different angles and pedestrian shapes, using the 3D gait data reconstructed by multiple cameras. Kim and Paik [13] combined frieze pattern and dynamic time to match gait sequences with similar angles of view.…”

Section: Literature Reviewmentioning

confidence: 99%

Recognition and Difference Analysis of Human Walking Gaits Based on Intelligent Processing of Video Images

Wang¹,

Yang²,

Li³

2020

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Based on the residual network and long short-term memory (LSTM) network, this paper proposes a human walking gait recognition method, which relies on the vector image of human walking features and the dynamic lower limb model with multiple degrees-of-freedom (DOFs). Firstly, a human pose estimation algorithm was designed based on deep convolutional neural network (DCNN), and used to obtain the vector image of human walking features. Then, the movements of human lower limbs were described by a simplified model, and the dynamic eigenvectors of the simplified model were obtained by Lagrange method, revealing the mapping relationship between eigenvectors in gait fitting. To analyze the difference of human walking gaits more accurately, a feature learning and recognition algorithm was developed based on residual network, and proved accurate and robust through experiments on the data collected from a public gait database.

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“…The force measuring platform and 3-D motion capture system have been employed in laboratory studies of postural stability [8,9,10]. To maintain an upright stance, the center of mass (COM) should be stable and controllable [11,12,13].…”

Section: Introductionmentioning

confidence: 99%

Dynamic Balance Measurement and Quantitative Assessment Using Wearable Plantar-Pressure Insoles in a Pose-Sensed Virtual Environment

Lou

Pang

Jing

et al. 2018

Sensors

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The center of plantar pressure (COP) reflects the dynamic balance of subjects to a certain extent. In this study, wearable pressure insoles are designed, body pose measure is detected by the Kinect sensor, and a balance evaluation system is formulated. With the designed games for the interactive actions, the Kinect sensor reads the skeletal poses to judge whether the desired action is performed, and the pressure insoles simultaneously collect the plantar pressure data. The COP displacement and its speed are calculated to determine the body sway and the ability of balance control. Significant differences in the dispersion of the COP distribution of the 12 subjects have been obtained, indicating different balancing abilities of the examined subjects. A novel assessment process is also proposed in the paper, in which a correlation analysis is made between the de facto sit-to-stand (STS) test and the proposed method; the Pearson and Spearman correlations are also conducted, which reveal a significant positive correlation. Finally, four undergraduate volunteers with a right leg sports injury participate in the experiments. The experimental results show that the normal side and abnormal side have significantly different characters, suggesting that our method is effective and robust for balance measurements.

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Improvement of Three-dimensional Motion Analyzer System for the Development of Indonesian Gait Database

Cited by 5 publications

References 1 publication

Development of a 3D Gait Measurement Protocol for Amputees Walking on Treadmill

Development of a 3D Gait Measurement Protocol for Amputees Walking on Treadmill

Recognition and Difference Analysis of Human Walking Gaits Based on Intelligent Processing of Video Images

Dynamic Balance Measurement and Quantitative Assessment Using Wearable Plantar-Pressure Insoles in a Pose-Sensed Virtual Environment

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