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gait analysis kinect

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https://www.readbyqxmd.com/read/29102274/prediction-of-ground-reaction-forces-for-parkinson-s-disease-patients-using-a-kinect-driven-musculoskeletal-gait-analysis-model
#1
Moataz Eltoukhy, Christopher Kuenze, Michael S Andersen, Jeonghoon Oh, Joseph Signorile
Kinetic gait abnormalities result in reduced mobility among individuals with Parkinson's disease (PD). Currently, the assessment of gait kinetics can only be achieved using costly force plates, which makes it difficult to implement in most clinical settings. The Microsoft Kinect v2 has been shown to be a feasible clinic-based alternative to more sophisticated three-dimensional motion analysis systems in producing acceptable spatiotemporal and kinematic gait parameters. In this study, we aimed to validate a Kinect-driven musculoskeletal model using the AnyBody modeling system to predict three-dimensional ground reaction forces (GRFs) during gait in patients with PD...
December 2017: Medical Engineering & Physics
https://www.readbyqxmd.com/read/28893554/functional-gait-analysis-in-a-spinal-contusion-rat-model
#2
REVIEW
Abhiraj D Bhimani, Pouyan Kheirkhah, Gregory D Arnone, Cindy R Nahhas, Prateek Kumar, Matt Wonais, Hugo Hidrogo, Eddy Aguilar, Daniel Spalinski, Mahie Gopalka, Steven Roth, Ankit I Mehta
Evaluating functional performance of spinal cord injury (SCI) rat models is essential for the development of novel treatments and breakthroughs. However, due to the variety of functional analysis methods available - each with its own strengths and weaknesses - it can be challenging to choose the most appropriate functional analysis test for the animal model. Therefore, we analyzed the strengths and weaknesses of five methods in order to determine which test is not only accurate and easily reproducible, but also relatively inexpensive so that it can be adopted universally...
September 8, 2017: Neuroscience and Biobehavioral Reviews
https://www.readbyqxmd.com/read/28792901/an-automated-classification-of-pathological-gait-using-unobtrusive-sensing-technology
#3
Elham Dolatabadi, Babak Taati, Alex Mihailidis
This study integrates an unobtrusive and affordable sensing technology with machine learning methods to discriminate between healthy and pathological gait patterns as a result of stroke or acquired brain injury (ABI). A feature analysis is used to identify the role of each body part in separating pathological patterns from healthy patterns. Gait features including the orientations of the hips and spine (trunk), shoulders and neck (upper limb), knees and ankles (lower limb), are calculated during walking based on Kinect skeletal tracking sequences...
August 7, 2017: IEEE Transactions on Neural Systems and Rehabilitation Engineering
https://www.readbyqxmd.com/read/28410413/validation-of-enhanced-kinect-sensor-based-motion-capturing-for-gait-assessment
#4
Björn Müller, Winfried Ilg, Martin A Giese, Nicolas Ludolph
Optical motion capturing systems are expensive and require substantial dedicated space to be set up. On the other hand, they provide unsurpassed accuracy and reliability. In many situations however flexibility is required and the motion capturing system can only temporarily be placed. The Microsoft Kinect v2 sensor is comparatively cheap and with respect to gait analysis promising results have been published. We here present a motion capturing system that is easy to set up, flexible with respect to the sensor locations and delivers high accuracy in gait parameters comparable to a gold standard motion capturing system (VICON)...
2017: PloS One
https://www.readbyqxmd.com/read/28408157/microsoft-kinect-can-distinguish-differences-in-over-ground-gait-between-older-persons-with-and-without-parkinson-s-disease
#5
Moataz Eltoukhy, Christopher Kuenze, Jeonghoon Oh, Marco Jacopetti, Savannah Wooten, Joseph Signorile
Gait patterns differ between healthy elders and those with Parkinson's disease (PD). A simple, low-cost clinical tool that can evaluate kinematic differences between these populations would be invaluable diagnostically; since gait analysis in a clinical setting is impractical due to cost and technical expertise. This study investigated the between group differences between the Kinect and a 3D movement analysis system (BTS) and reported validity and reliability of the Kinect v2 sensor for gait analysis. Nineteen subjects participated, eleven without (C) and eight with PD (PD)...
April 10, 2017: Medical Engineering & Physics
https://www.readbyqxmd.com/read/28268795/a-novel-portable-low-cost-kinect-based-system-for-motion-analysis-in-neurological-diseases
#6
Joao Paulo Silva Cunha, Ana Patricia Rocha, Hugo Miguel Pereira Choupina, Jose Maria Fernandes, Maria Jose Rosas, Rui Vaz, Felix Achilles, Anna Mira Loesch, Christian Vollmar, Elisabeth Hartl, Soheyl Noachtar
Many neurological diseases, such as Parkinson's disease and epilepsy, can significantly impair the motor function of the patients, often leading to a dramatic loss of their quality of life. Human motion analysis is regarded as fundamental towards an early diagnosis and enhanced follow-up in this type of diseases. In this contribution, we present NeuroKinect, a novel system designed for motion analysis in neurological diseases. This system includes an RGB-D camera (Microsoft Kinect) and two integrated software applications, KiT (KinecTracker) and KiMA (Kinect Motion Analyzer)...
August 2016: Conference Proceedings: Annual International Conference of the IEEE Engineering in Medicine and Biology Society
https://www.readbyqxmd.com/read/28268781/evaluation-of-the-microsoft-kinect-skeletal-versus-depth-data-analysis-for-timed-up-and-go-and-figure-of-8-walk-tests
#7
Benjamin Hotrabhavananda, Anup K Mishra, Marjorie Skubic, Nijaporn Hotrabhavananda, Carmen Abbott
We compared the performance of the Kinect skeletal data with the Kinect depth data in capturing different gait parameters during the Timed-up and Go Test (TUG) and Figure of 8 Walk Test (F8W). The gait parameters considered were stride length, stride time, and walking speed for the TUG, and number of steps and completion time for the F8W. A marker-based Vicon motion capture system was used for the ground-truth measurements. Five healthy participants were recruited for the experiment and were asked to perform three trials of each task...
August 2016: Conference Proceedings: Annual International Conference of the IEEE Engineering in Medicine and Biology Society
https://www.readbyqxmd.com/read/28226989/a-novel-portable-low-cost-kinect-based-system-for-motion-analysis-in-neurological-diseases
#8
Joao Paulo Silva Cunha, Ana Patricia Rocha, Hugo Miguel Pereira Choupina, Jose Maria Fernandes, Maria Jose Rosas, Rui Vaz, Felix Achilles, Anna Mira Loesch, Christian Vollmar, Elisabeth Hartl, Soheyl Noachtar, Joao Paulo Silva Cunha, Ana Patricia Rocha, Hugo Miguel Pereira Choupina, Jose Maria Fernandes, Maria Jose Rosas, Rui Vaz, Felix Achilles, Anna Mira Loesch, Christian Vollmar, Elisabeth Hartl, Soheyl Noachtar, Christian Vollmar, Ana Patricia Rocha, Elisabeth Hartl, Rui Vaz, Hugo Miguel Pereira Choupina, Soheyl Noachtar, Felix Achilles, Anna Mira Loesch, Jose Maria Fernandes, Joao Paulo Silva Cunha, Maria Jose Rosas
Many neurological diseases, such as Parkinson's disease and epilepsy, can significantly impair the motor function of the patients, often leading to a dramatic loss of their quality of life. Human motion analysis is regarded as fundamental towards an early diagnosis and enhanced follow-up in this type of diseases. In this contribution, we present NeuroKinect, a novel system designed for motion analysis in neurological diseases. This system includes an RGB-D camera (Microsoft Kinect) and two integrated software applications, KiT (KinecTracker) and KiMA (Kinect Motion Analyzer)...
August 2016: Conference Proceedings: Annual International Conference of the IEEE Engineering in Medicine and Biology Society
https://www.readbyqxmd.com/read/28226973/evaluation-of-the-microsoft-kinect-skeletal-versus-depth-data-analysis-for-timed-up-and-go-and-figure-of-8-walk-tests
#9
Benjamin Hotrabhavananda, Anup K Mishra, Marjorie Skubic, Nijaporn Hotrabhavananda, Carmen Abbott, Benjamin Hotrabhavananda, Anup K Mishra, Marjorie Skubic, Nijaporn Hotrabhavananda, Carmen Abbott, Benjamin Hotrabhavananda, Anup K Mishra, Nijaporn Hotrabhavananda, Marjorie Skubic, Carmen Abbott
We compared the performance of the Kinect skeletal data with the Kinect depth data in capturing different gait parameters during the Timed-up and Go Test (TUG) and Figure of 8 Walk Test (F8W). The gait parameters considered were stride length, stride time, and walking speed for the TUG, and number of steps and completion time for the F8W. A marker-based Vicon motion capture system was used for the ground-truth measurements. Five healthy participants were recruited for the experiment and were asked to perform three trials of each task...
August 2016: Conference Proceedings: Annual International Conference of the IEEE Engineering in Medicine and Biology Society
https://www.readbyqxmd.com/read/27792181/skeleton-based-abnormal-gait-detection
#10
Trong-Nguyen Nguyen, Huu-Hung Huynh, Jean Meunier
Human gait analysis plays an important role in musculoskeletal disorder diagnosis. Detecting anomalies in human walking, such as shuffling gait, stiff leg or unsteady gait, can be difficult if the prior knowledge of such a gait pattern is not available. We propose an approach for detecting abnormal human gait based on a normal gait model. Instead of employing the color image, silhouette, or spatio-temporal volume, our model is created based on human joint positions (skeleton) in time series. We decompose each sequence of normal gait images into gait cycles...
October 26, 2016: Sensors
https://www.readbyqxmd.com/read/27672492/emotion-recognition-using-kinect-motion-capture-data-of-human-gaits
#11
Shun Li, Liqing Cui, Changye Zhu, Baobin Li, Nan Zhao, Tingshao Zhu
Automatic emotion recognition is of great value in many applications, however, to fully display the application value of emotion recognition, more portable, non-intrusive, inexpensive technologies need to be developed. Human gaits could reflect the walker's emotional state, and could be an information source for emotion recognition. This paper proposed a novel method to recognize emotional state through human gaits by using Microsoft Kinect, a low-cost, portable, camera-based sensor. Fifty-nine participants' gaits under neutral state, induced anger and induced happiness were recorded by two Kinect cameras, and the original data were processed through joint selection, coordinate system transformation, sliding window gauss filtering, differential operation, and data segmentation...
2016: PeerJ
https://www.readbyqxmd.com/read/27634166/motor-trajectories-from-birth-to-5-years-of-children-born-at-less-than-30-weeks-gestation-early-predictors-and-functional-implications-protocol-for-a-prospective-cohort-study
#12
Alicia J Spittle, Jennifer L McGinley, Deanne Thompson, Ross Clark, Tara L FitzGerald, Benjamin F Mentiplay, Katherine J Lee, Joy E Olsen, Alice Burnett, Karli Treyvaud, Elisha Josev, Bonnie Alexander, Claire E Kelly, Lex W Doyle, Peter J Anderson, Jeanie Ly Cheong
INTRODUCTION: Motor impairments are one of the most frequently reported adverse neurodevelopmental consequences in children born < 30 weeks' gestation. Up to 15% of children born at < 30 weeks have cerebral palsy and an additional 50% have mild to severe motor impairment at school age. The first 5 years of life are critical for the development of fundamental motor skills. These skills form the basis for more complex skills that are required to competently and confidently participate in schooling, sporting and recreational activities...
October 2016: Journal of Physiotherapy
https://www.readbyqxmd.com/read/27474948/exploring-the-feasibility-and-acceptability-of-sensor-monitoring-of-gait-and-falls-in-the-homes-of-persons-with-multiple-sclerosis
#13
Pamela Newland, Joanne M Wagner, Amber Salter, Florian P Thomas, Marjorie Skubic, Marilyn Rantz
Gait parameters variability and falls are problems for persons with MS and have not been adequately captured in the home. Our goal was to explore the feasibility and acceptability of monitoring of gait and falls in the homes of persons with MS over a period of 30 days. To test the feasibility of measuring gait and falls for 30days in the home of persons with MS, spatiotemporal gait parameters stride length, stride time, and gait speed were compared. A 3D infrared depth imaging system has been developed to objectively measure gait and falls in the home environment...
September 2016: Gait & Posture
https://www.readbyqxmd.com/read/26861323/validity-of-the-kinect-for-gait-assessment-a-focused-review
#14
REVIEW
Shmuel Springer, Galit Yogev Seligmann
Gait analysis may enhance clinical practice. However, its use is limited due to the need for expensive equipment which is not always available in clinical settings. Recent evidence suggests that Microsoft Kinect may provide a low cost gait analysis method. The purpose of this report is to critically evaluate the literature describing the concurrent validity of using the Kinect as a gait analysis instrument. An online search of PubMed, CINAHL, and ProQuest databases was performed. Included were studies in which walking was assessed with the Kinect and another gold standard device, and consisted of at least one numerical finding of spatiotemporal or kinematic measures...
2016: Sensors
https://www.readbyqxmd.com/read/26737869/a-reliability-assessment-software-using-kinect-to-complement-the-clinical-evaluation-of-parkinson-s-disease
#15
Juan David Arango Paredes, Beatriz Muñoz, Wilfredo Agredo, Yoseth Ariza-Araújo, Jorge Luis Orozco, Andres Navarro
Parkinson's disease is characterized by alterations in the gait pattern that may increase the risk of falls. Variations in the gait pattern cannot be objectively measured in clinical examination, so it is necessary to adapt devices to measure objectively, valid and replicable changes in gait patterns that are part of the evolution of the disease and / or pharmacotherapy. In an interdisciplinary effort, we developed the "e-Motion Capture System" software, which is able to calculate motor (cadence, stride and step length) and spatiotemporal (velocity and acceleration) parameters that affect quality of life in patients with Parkinson's disease...
2015: Conference Proceedings: Annual International Conference of the IEEE Engineering in Medicine and Biology Society
https://www.readbyqxmd.com/read/26737414/person-identification-from-gait-analysis-with-a-depth-camera-at-home
#16
Amandine Dubois, Jean-Pierre Bresciani
The aim of our project is to develop a markerless system to detect falls and evaluate the frailty of elderly people at home. In previous work, we developed an algorithm detecting falls and daily life activities based on depth images provided by Microsoft's Kinect sensor. We also developed another algorithm based on the same features for gait analysis. However, an ambient system installed at home for frailty evaluation should be able to identify the individuals that one wishes to monitor. This paper proposes a method to identify individuals based on the depth images of gait sequences...
2015: Conference Proceedings: Annual International Conference of the IEEE Engineering in Medicine and Biology Society
https://www.readbyqxmd.com/read/26736501/kinect-v2-based-system-for-parkinson-s-disease-assessment
#17
Ana Patricia Rocha, Hugo Choupina, Jose Maria Fernandes, Maria Jose Rosas, Rui Vaz, Joao Paulo Silva Cunha
Human motion analysis can provide valuable information for supporting the clinical assessment of movement disorders, such as Parkinson's disease (PD). In this contribution, we study the suitability of a Kinect v2 based system for supporting PD assessment in a clinical environment, in comparison to the original Kinect (v1). In this study, 3-D body joint data were acquired from both normal subjects, and PD patients treated with deep brain stimulation (DBS). Then, several gait parameters were extracted from the gathered data...
August 2015: Conference Proceedings: Annual International Conference of the IEEE Engineering in Medicine and Biology Society
https://www.readbyqxmd.com/read/26626555/automated-extraction-and-validation-of-children-s-gait-parameters-with-the-kinect
#18
Saeid Motiian, Paola Pergami, Keegan Guffey, Corrie A Mancinelli, Gianfranco Doretto
BACKGROUND: Gait analysis for therapy regimen prescription and monitoring requires patients to physically access clinics with specialized equipment. The timely availability of such infrastructure at the right frequency is especially important for small children. Besides being very costly, this is a challenge for many children living in rural areas. This is why this work develops a low-cost, portable, and automated approach for in-home gait analysis, based on the Microsoft Kinect. METHODS: A robust and efficient method for extracting gait parameters is introduced, which copes with the high variability of noisy Kinect skeleton tracking data experienced across the population of young children...
2015: Biomedical Engineering Online
https://www.readbyqxmd.com/read/26510830/a-perceptual-map-for-gait-symmetry-quantification-and-pathology-detection
#19
Antoine Moevus, Max Mignotte, Jacques A de Guise, Jean Meunier
BACKGROUND: The gait movement is an essential process of the human activity and the result of collaborative interactions between the neurological, articular and musculoskeletal systems, working efficiently together. This explains why gait analysis is important and increasingly used nowadays for the diagnosis of many different types (neurological, muscular, orthopedic, etc.) of diseases. This paper introduces a novel method to quickly visualize the different parts of the body related to an asymmetric movement in the human gait of a patient for daily clinical usage...
2015: Biomedical Engineering Online
https://www.readbyqxmd.com/read/26499251/motion-tracking-and-gait-feature-estimation-for-recognising-parkinson-s-disease-using-ms-kinect
#20
Ondřej Ťupa, Aleš Procházka, Oldřich Vyšata, Martin Schätz, Jan Mareš, Martin Vališ, Vladimír Mařík
BACKGROUND: Analysis of gait features provides important information during the treatment of neurological disorders, including Parkinson's disease. It is also used to observe the effects of medication and rehabilitation. The methodology presented in this paper enables the detection of selected gait attributes by Microsoft (MS) Kinect image and depth sensors to track movements in three-dimensional space. METHODS: The experimental part of the paper is devoted to the study of three sets of individuals: 18 patients with Parkinson's disease, 18 healthy aged-matched individuals, and 15 students...
2015: Biomedical Engineering Online
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