Effects of Vestibular Exercises on Postural Balance for Children

Kaupuzs, Aivars; Lāriņš, Viesturs; Rižakova, Lorita

doi:10.17770/sie2016vol3.1476

Cited by 3 publications

(4 citation statements)

References 9 publications

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“…It is pertinent to highlight the existence of alternative methodologies within information technologies for the assessment of human pose during exercises (Hutagalung, Akhmad & Irfan, 2023). The ability to maintain body balance plays a crucial role both in everyday life and in athletes' fitness levels (Bohannon et al, 1984;Bogle Thorbahn, Newton, 1996;Kaupuzs, Larins & Rizakova, 2016). The automation of balance control is a relevant task at present.…”

Section: Literature Reviewmentioning

confidence: 99%

Computer Vision Technologies for Human Pose Estimation in Exercise: Accuracy and Practicality

Latyshev,

Lopatenko,

Shandryhos

et al. 2024

SIE

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Information technologies are increasingly being integrated into all aspects of human life. Over the past few years, the use of machine learning models for human pose detection has significantly increased. As the realms of technology and physical activity converge, understanding the potential of these innovations becomes imperative for refining exercise monitoring systems. The aim of the research - evaluate the accuracy and viability of employing modern computer vision technologies in the identification of human pose during physical exercises. The study employed a combination of machine learning methods, video analysis, a review of scientific literature, and methods from mathematical statistics. The precision evaluation of contemporary machine learning models was conducted on a prepared dataset, comprising annotated images featuring students executing a body balance test with the camera positioned directly towards the subjects. The obtained data showed that both MediaPipe and OpenPose models proficiently recognize key anatomical landmarks during the conducted test. The MediaPipe model demonstrates a lower percentage of deviation from manual annotation compared to OpenPose for most key points: the mean deviation exceeds the threshold for 11 out of 15 key points and 7 out of 18 key points, as defined by the OpenPose and MediaPipe models, respectively. The most significant deviations are noticeable in the detection of points corresponding to the foot and wrist. The derived conclusions underscore the models can address only a portion of the tasks set. Essentially, this raises scepticism regarding the practical application of contemporary machine learning methods for human pose estimation without additional refinement.

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Section: Literature Reviewmentioning

confidence: 99%

Computer Vision Technologies for Human Pose Estimation in Exercise: Accuracy and Practicality

Latyshev,

Lopatenko,

Shandryhos

et al. 2024

SIE

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“…To test postural balance, the person is asked to stand on the force plate and perform specific balance keeping tasks according to m-CTSIB test modes which are already approbated in many clinical studies demonstrating its simplicity, accessibility, usability and efficiency in balance disorder measurements [3], [7], [8]. In other words, the person tries to keep postural balance which is related to keeping sphere symbol on the screen during the test.…”

Section: Postural Balance Early Diagnostics Systems and Tools Developmentioning

confidence: 99%

“…Considering that "the balance is one of the most important skills of the postural control and ability to move" [3], it might be said that persons' active involvement in the vestibular telerehabilitation activities can improve life quality of these people. Herdman points out three main human body systems which are responsible for postural balance control.…”

Section: Introductionmentioning

confidence: 99%

Eye-tracking introduction considerations in vestibular telerehabilitation in Latvia

Gorbunovs

Timsans

Grada

2019

PEN

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The terms of telemedicine, telerehabilitation, and e-care have come into our everyday lives as the necessity to make medical assistance and care more effective. These terms are not buzzwords. Indeed, new technology, innovative solutions, offered by programming tools, modern sensor equipment, wearable devices and bio-signal data sets, provide an ability to ensure necessary remote support to a person with special needs anytime and anywhere. This assistance may include person's online health monitoring, telerehabilitation and health improvement measures, mobile training, rapid alert button initiation, advisory support, and a set of many other measures supporting patient's care. This paper displays achievements in creation of vestibular telerehabilitation tools and systems, particularly in Latvia, and discuss further necessary developments, including eye-tracking instruments, which would improve existing telerehabilitation systems.

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“…5 and 6). The person is asked to fulfil certain four tasks according to Modified Clinical Test of Sensory Organization and Balance (mCTSIB) test modes which already approbated in many clinical studies demonstrating test's simplicity, accessibility, usability and efficiency in balance disorder measurements [15], [18], [19].…”

Section: Fig 2 Resistive Wheatstone Bridge Circuitmentioning

confidence: 99%

Development of Human Balance Capability Testing Prototype

Gorbunovs

Timsans

Kapenieks

et al. 2017

ETR

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The detection of human balance functional disorders may provide some kind of awareness or even warning about potential problems for human health both in organs responsible for ensuring the balance function and in organs related to fulfilment of other important life functions. Modern world offers some sophisticated solutions which enable not only determination of the human balance functional capacity but also offer some kind of training environment to provide corresponding rehabilitation. Unfortunately, such systems are very expensive. And this make limitations of their accessibility and practical usability for a wide range of the target group / population. Software solutions, including mobile applications, on the other hand, are incomparably cheaper. However, they do not allow to make precise balance capability measurements, limiting to simplified balance retention simulators. During implementation of the Latvian National State Research Program VPP INOSOCTEREHI from 2015 to 2017 three human balance capability testing prototypes were developed using a variety of electronic and mechatronic solutions. The last one was successfully approbated during two pilots in Latvian schools in 2016 and demonstrated at the International Invention and Innovation Exhibition MINOX-2016. This paper analyses benefits and disadvantages of approaches used in creating of these prototypes. Besides, authors make initial comparison of developed third prototype version against the BioSway system offered in the market. The paper gives also insight into particular system interface development and new effective graphic portrayal of the balance testing output data, as well as sets the goals for further possible commercialization of the developed balance testing prototype.

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Effects of Vestibular Exercises on Postural Balance for Children

Cited by 3 publications

References 9 publications

Computer Vision Technologies for Human Pose Estimation in Exercise: Accuracy and Practicality

Computer Vision Technologies for Human Pose Estimation in Exercise: Accuracy and Practicality

Eye-tracking introduction considerations in vestibular telerehabilitation in Latvia

Development of Human Balance Capability Testing Prototype

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