3D Motion Capture Methods for Pathological and Non-pathological Human Motion Analysis

Kertesz, Zsolt; Lovanyi, I.

doi:10.1109/ictta.2006.1684521

Cited by 3 publications

(3 citation statements)

References 1 publication

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“…For instance, to assess hand rehabilitation, Li et al provided a simple and intuitive optical motion-capture system, showing a clear and accurate model of hand movements [ 21 ]. To provide therapists with detailed and quantifiable data related to patient injury or disability, Kertesz et al analyzed three-dimensional (3D) representations of patient activity through a motion-capture device, which provided a new method to manage the entire spectrum of the rehabilitation process [ 22 ].…”

Section: Related Workmentioning

confidence: 99%

Analysis on the Subdivision of Skilled Mowing Movements on Slopes

Nishimura

et al. 2022

Sensors

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Owing to the aging of the rural population in the hilly and mountainous areas of Japan, mowing on narrow ridges and steep slopes is done manually by the elderly—individuals over 65 years of age. Studies have shown that many accidents that occurred during mowing were caused by workers’ unstable posture, especially when mowing on steep surfaces where there is a high risk of falling. It is necessary to analyze the body movements of mowing workers to elucidate the elements related to the risk of falls. Therefore, in this study, based on a high-precision motion-capture device and a series of experiments with elderly, skilled mowing workers, we focused on the movements of mowing. We sought to identify effective and safe mowing patterns and the factors that lead to the risk of falls. In various mowing styles, compared to the stride (S) and downward (D) mowing patterns, the basic (B) and moving (M) patterns were the most efficient; however, the risk of falls was also the highest among these patterns. While mowing, workers need to pay more attention to their arm strength and take appropriate measures to reduce the risk of falls according to their age and physique. The results can be used as data for the development of fall-detection systems and offer useful insights for the training of new mowing workers.

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Section: Related Workmentioning

confidence: 99%

Analysis on the Subdivision of Skilled Mowing Movements on Slopes

Nishimura

et al. 2022

Sensors

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“…They are predominantly used in the entertainment industry such as animation, film, and videogames. The accuracy of depiction and transferability of motion-capture data created a new research area for clinicians and other medical-related professions to utilise this technology for gait analysis and the study of kinematics [7][8][9].…”

Section: Gait Analysismentioning

confidence: 99%

“…Such gait-related observation utilises the use of a motion-capture system to record the patient's movement to be analysed in the specialised motion analysis software. Gait analysis facilities enable the acquisition of high-quality, quantifiable biomechanics data that are analysed objectively [7][8][9][10]. However, such facilities are very limited, are mostly situated in major cities, and require substantial space and costs to operate.…”

Section: Introductionmentioning

confidence: 99%

Exploring the Development Requirements for Virtual Reality Gait Analysis

Khan

Charissis

Sakellariou

2019

MTI

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The hip joint is highly prone to traumatic and degenerative pathologies resulting in irregular locomotion. Monitoring and treatment depend on high-end technology facilities requiring physician and patient co-location, thus limiting access to specialist monitoring and treatment for populations living in rural and remote locations. Telemedicine offers an alternative means of monitoring, negating the need for patient physical presence. In addition, emerging technologies, such as virtual reality (VR) and immersive technologies, offer potential future solutions through virtual presence, where the patient and health professional can meet in a virtual environment (a virtual clinic). To this end, a prototype asynchronous telemedicine VR gait analysis system was designed, aiming to transfer a full clinical facility within the patients’ local proximity. The proposed system employs cost-effective alternative motion capture combined with the system’s immersive 3D virtual gait analysis clinic. The user interface and the tools in the application offer health professionals asynchronous, objective, and subjective analyses. This paper investigates the requirements for the design of such a system and discusses preliminary comparative data of its performance evaluation against a high-fidelity gait analysis clinical application.

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Motion Tracking and Learning in Telerehabilitation Applications

Sevcenco

2012

2012 Seventh International Conference on Broadband, Wireless Computing, Communication and Applications

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3D Motion Capture Methods for Pathological and Non-pathological Human Motion Analysis

Cited by 3 publications

References 1 publication

Analysis on the Subdivision of Skilled Mowing Movements on Slopes

Analysis on the Subdivision of Skilled Mowing Movements on Slopes

Exploring the Development Requirements for Virtual Reality Gait Analysis

Motion Tracking and Learning in Telerehabilitation Applications

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