Comparative abilities of Microsoft Kinect and Vicon 3D motion capture for gait analysis

Pfister, A; West, Alexandre M.; Bronner, Shaw; Noah, J. Adam

doi:10.3109/03091902.2014.909540

Cited by 431 publications

(314 citation statements)

References 25 publications

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“…Firstly, the derivation of noisy joint angles delivered by the Kinect induces noisy derivatives. Previous work demonstrated a correlation of 0.8 between joint angles delivered by the Kinect and an optoelectronic system [21]. This could partly explain the low correlation between CRP computed with Kinect and Vicon data.…”

Section: -Discussionmentioning

confidence: 91%

Validity and sensitivity of the longitudinal asymmetry index to detect gait asymmetry using Microsoft Kinect data

et al. 2017

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Research highlights:-The Continuous Relative Phase is not useable with Kinect.-New longitudinal index Ilong is sensitive and validated to detect gait asymmetry.-The Ilong index works with Kinect placed either in front of or behind subjects.-Only few strides (at least 5) are needed to compute a valid Ilong. AbstractGait asymmetry information is a key point in disease screening and follow-up. Constant Relative Phase (CRP) has been used to quantify within-stride asymmetry index, which requires noise-free and accurate motion capture, which is difficult to obtain in clinical settings. This study explores a new index, the Longitudinal Asymmetry Index (ILong) which is derived using data from a low-cost depth camera (Kinect). ILong is based on depth images averaged over several gait cycles, rather than derived joint positions or angles. This study aims to evaluate 1) the validity of CRP computed with Kinect, 2) the validity and sensitivity of ILong for measuring gait asymmetry based solely on data provided by a depth camera, 3) the clinical applicability of a posteriorly mounted camera system to avoid occlusion caused by the standard front-fitted treadmill consoles and 4) the number of strides needed to reliably calculate ILong. The gait of 15 subjects was recorded concurrently with a markerbased system (MBS) and Kinect, and asymmetry was artificially reproduced by introducing a 5cm sole attached to one foot. CRP computed with Kinect was not reliable. ILong detected this disturbed gait reliably and could be computed from a posteriorly placed Kinect without loss of validity. A minimum of five strides was needed to achieve a correlation coefficient of 0.9 between standard MBS and low-cost depth camera based ILong. ILong provides a clinically pragmatic method for measuring gait asymmetry, with application for improved patient care through enhanced disease, screening, diagnosis and monitoring.Keywords: Kinect; Gait analysis; gait asymmetry; sensitivity analysis; CRP. Gait asymmetry is typically evaluated using kinematic data and spatio-temporal gait parameters (step/ stride length and duration). Based on these global variables, indicators have been introduced to quantify asymmetry, including the Symmetry Ratio [6] and Symmetry Index [6]. These indicators provide global asymmetry information for a studied gait cycle, but cannot be used to analyse how asymmetry occurs at specific instances within the gait cycle.To overcome this limitation, some authors have proposed analysis of the Constant Relative Phase (CRP) and its derivatives [10]. For a given joint, this indicator constructs a phase diagram based on angular value and angular velocity. Gait asymmetry can be assessed by comparing the CRP of the corresponding left and right joints. It has been used to measure asymmetry caused by weights placed on one foot [11] and pathologies such as stroke [12].However, CRP is based on sagittal joint angles and their derivatives, which impose the use of accurate and noise-free motion capture systems, such as optoelectronic systems [11,12]...

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Section: -Discussionmentioning

confidence: 91%

Validity and sensitivity of the longitudinal asymmetry index to detect gait asymmetry using Microsoft Kinect data

et al. 2017

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“…Jordan et al [13] salientam que esses dispositivos constituem importantes instrumentos para se obter medidas mais precisas dos movimentos. De fato, estudos usando sistemas automáticos de coleta de dados, com marcadores fixos ao corpo, estão se tornando mais comuns nos últimos anos [14,15]. Entretanto, devido ao alto custo desses sistemas e à complexidade da sua manipulação técnica, ainda existem poucos centros que os utilizam na demanda laboral.…”

Section: Introductionunclassified

Risco de lesões de ombro em cortadores de cana-de-açúcar: análise baseada na simulação dos movimentos

Messias

Andrade

Artero

et al. 2017

Sci Med

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Este artigo está licenciado sob forma de uma licença Creative Commons Atribuição 4.0 Internacional, que permite uso irrestrito, distribuição e reprodução em qualquer meio, desde que a publicação original seja corretamente citada. ABSTRACT AIMS:To evaluate whether the amplitude angles of shoulder flexion and abduction, in the movements performed during a simulation of the sugarcane cutting task, exceed the limits considered safe. METHODS: Non-randomized controlled simulations of the movement of sugarcane cutting were performed in volunteers recruited among university students. Inclusion criteria were (a) male sex; (b) age between 21 and 40 years; (c) right handed; (d) without orthopedic and/or neurological impairment; (e) physical characteristics and a history of work activities similar to that of sugarcane cutters; (f) performing aerobic physical activity at least three times a week in the last six months. The exclusion criteria were (a) presence of pain during the tests; and (b) inability to perform the movement. The study was carried out in the laboratory of occupational biomechanics of the Center for Study and Research in Ergonomics of the School of Science and Technology of the State University of São Paulo. The kinematic data were collected by the Vicon ® Three-Dimensional Movement Analysis System. The movements of flexion and abduction of the right shoulder were measured and classified. The parameters used as reference to evaluate the results were those published by the Ministry of Health of Brazil, which synthesizes the safe limits of amplitude of these movements. RESULTS: Ten subjects were evaluated, with a mean age of 24.5±4.78 years. A total of 39 samples obtained with the movement repetitions were analyzed during an average period of 30 seconds. The angle of shoulder in flexion remained above 30 degrees during 98.18% of the task execution time, above 45 degrees during 88.84%, above 60 degrees during 42.19% and above 90 degrees during 7.72% of the time. The abduction angle remained above 60 degrees throughout all the time and above 90 degrees during 57.59% of the time. In the amplitude of movement spikes, abduction apertures with angles greater than 100 degrees were observed. CONCLUSIONS: During most of the time of the experiments that simulated the movement of sugarcane cutting, the flexion and abduction angles of the shoulder were above those considered safe, indicating that the activity performed by sugarcane cutters has a strong potential to cause damage to the shoulder joint.

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“…This is due to noisy data stemming from lower extremities inaccurate tracking by the Kinect as indicated in [7,8].…”

Section: Angular Displacementsmentioning

confidence: 99%

“…In particular, in spinal cord injuries rehabilitation, the Kinect was compared with an expensive high precision optical system and was found to be an accurate low-cost and easy to use alternative [4]. The Kinect was found to be a valid tool for assessing spatiotemporal components of gait [5,6] but it is unable to accurately assess lower limb kinematics [7,8]. In order to bypass the lower extremities inaccuracy a technique that relies on knee joint relative angle has been proposed to detect foot-off and foot contact during the gait cycle [9].…”

Section: Introductionmentioning

confidence: 99%

Gesture based Human Computer Interaction for Athletic Training

Khazaeli¹,

Kari²,

Baizer³

et al. 2017

Int J Appl Exerc Physiol

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ABSTRACT:The invention of depth sensors for mobile devices, has led to availability of relatively inexpensive high-resolution depth and visual (RGB) sensing for a wide range of applications. The complementary nature of the depth and visual information opens up new opportunities to solve fundamental problems in object and activity recognition, people tracking, 3D mapping and localization, etc. One of the most i nteresting challenges that can be tackled by using these sensors is tracking the body movements of athletes and providing natural interaction as a result. In this study depth sensors and gesture recognition tools will be used to analyze the position and angle of an athlete's body parts thought out an exercise. The goal is to assess the training performance of an athlete and decrease injury risk by giving warnings when the trainer is performing a high risk activity.

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Comparative abilities of Microsoft Kinect and Vicon 3D motion capture for gait analysis

Cited by 431 publications

References 25 publications

Validity and sensitivity of the longitudinal asymmetry index to detect gait asymmetry using Microsoft Kinect data

Validity and sensitivity of the longitudinal asymmetry index to detect gait asymmetry using Microsoft Kinect data

Risco de lesões de ombro em cortadores de cana-de-açúcar: análise baseada na simulação dos movimentos

Gesture based Human Computer Interaction for Athletic Training

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