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gait analysis kinect

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
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
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
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
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
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
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
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
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
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
Akihiro Nakamura, Hiroyuki Funaya, Naohiro Uezono, Kinichi Nakashima, Yasumasa Ishida, Tomohiro Suzuki, Shigeharu Wakana, Tomohiro Shibata
Three-dimensional (3D) open-field gait analysis of mice is an essential procedure in genetic and nerve regeneration research. Existing gait analysis systems are generally expensive and may interfere with the natural behaviors of mice because of optical markers and transparent floors. In contrast, the proposed system captures the subjects shape from beneath using a low-cost infrared depth sensor (Microsoft Kinect) and an opaque infrared pass filter. This means that we can track footprints and 3D paw-tip positions without optical markers or a transparent floor, thereby preventing any behavioral changes...
November 2015: Neuroscience Research
Benjamin F Mentiplay, Luke G Perraton, Kelly J Bower, Yong-Hao Pua, Rebekah McGaw, Sophie Heywood, Ross A Clark
The revised Xbox One Kinect, also known as the Microsoft Kinect V2 for Windows, includes enhanced hardware which may improve its utility as a gait assessment tool. This study examined the concurrent validity and inter-day reliability of spatiotemporal and kinematic gait parameters estimated using the Kinect V2 automated body tracking system and a criterion reference three-dimensional motion analysis (3DMA) marker-based camera system. Thirty healthy adults performed two testing sessions consisting of comfortable and fast paced walking trials...
July 16, 2015: Journal of Biomechanics
Edouard Auvinet, Franck Multon, Jean Meunier
BACKGROUND: Various asymmetry indices have been proposed to compare the spatiotemporal, kinematic and kinetic parameters of lower limbs during the gait cycle. However, these indices rely on gait measurement systems that are costly and generally require manual examination, calibration procedures and the precise placement of sensors/markers on the body of the patient. METHODS: To overcome these issues, this paper proposes a new asymmetry index, which uses an inexpensive, easy-to-use and markerless depth camera (Microsoft Kinect™) output...
2015: Sensors
Enea Cippitelli, Samuele Gasparrini, Susanna Spinsante, Ennio Gambi
The Microsoft Kinect sensor has gained attention as a tool for gait analysis for several years. Despite the many advantages the sensor provides, however, the lack of a native capability to extract joints from the side view of a human body still limits the adoption of the device to a number of relevant applications. This paper presents an algorithm to locate and estimate the trajectories of up to six joints extracted from the side depth view of a human body captured by the Kinect device. The algorithm is then applied to extract data that can be exploited to provide an objective score for the "Get Up and Go Test", which is typically adopted for gait analysis in rehabilitation fields...
2015: Sensors
Greet Baldewijns, Geert Verheyden, Bart Vanrumste, Tom Croonenborghs
Accurate, non-intrusive and straightforward techniques for gait quality analysis can provide important information concerning the fall risk of a person. For this purpose an algorithm was developed which can measure step length and step time using the Kinect depth image. The validity of the measured step length and time is determined using the GAITRite walkway as a ground truth. The results of this validation confirm that the Kinect is well-suited for determining general parameters of a walking sequence (a Spearmans Correlation Coefficient (SCC) of 0...
2014: Conference Proceedings: Annual International Conference of the IEEE Engineering in Medicine and Biology Society
Amandine Dubois, Francois Charpillet
This paper proposes a markerless system whose purpose is to help preventing falls of elderly people at home. To track human movements, the Microsoft Kinect camera is used which allows to acquire at the same time a RGB image and a depth image. Several articles show that the analysis of some gait parameters could allow fall risk assessment. We developed a system which extracts three gait parameters (the length and the duration of steps and the speed of the gait) by tracking the center of mass of the person. To check the validity of our system, the accuracy of the gait parameters obtained with the camera is evaluated...
2014: Conference Proceedings: Annual International Conference of the IEEE Engineering in Medicine and Biology Society
B Amir H Kargar, Ali Mollahosseini, Taylor Struemph, Wilson Pace, Rodney D Nielsen, Mohammad H Mahoor
Get-Up-and-Go Test is commonly used for assessing the physical mobility of the elderly by physicians. This paper presents a method for automatic analysis and classification of human gait in the Get-Up-and-Go Test using a Microsoft Kinect sensor. Two types of features are automatically extracted from the human skeleton data provided by the Kinect sensor. The first type of feature is related to the human gait (e.g., number of steps, step duration, and turning duration); whereas the other one describes the anatomical configuration (e...
2014: Conference Proceedings: Annual International Conference of the IEEE Engineering in Medicine and Biology Society
Antoine Moevus, Max Mignotte, J A de Guise, Jean Meunier
The gait movement is a complex and essential process of the human activity. Yet, many types of diseases (neurological, muscular, orthopedic, etc.) can be diagnosed from the gait analysis. This paper introduces a novel method to quickly visualize the different body parts related to an (temporally shift-invariant) asymmetric movement in the human gait of a patient for daily clinical usage. The goal is to provide a cheap and easy-to-use method that measures the gait asymmetry and display results in a perceptual and intuitive way...
2014: Conference Proceedings: Annual International Conference of the IEEE Engineering in Medicine and Biology Society
Ana Patrícia Rocha, Hugo Choupina, José Maria Fernandes, Maria José Rosas, Rui Vaz, João Paulo Silva Cunha
Movement-related diseases, such as Parkinson's disease (PD), progressively affect the motor function, many times leading to severe motor impairment and dramatic loss of the patients' quality of life. Human motion analysis techniques can be very useful to support clinical assessment of this type of diseases. In this contribution, we present a RGB-D camera (Microsoft Kinect) system and its evaluation for PD assessment. Based on skeleton data extracted from the gait of three PD patients treated with deep brain stimulation and three control subjects, several gait parameters were computed and analyzed, with the aim of discriminating between non-PD and PD subjects, as well as between two PD states (stimulator ON and OFF)...
2014: Conference Proceedings: Annual International Conference of the IEEE Engineering in Medicine and Biology Society
Edouard Auvinet, Franck Multon, Carl-Eric Aubin, Jean Meunier, Maxime Raison
Treadmill walking is commonly used to analyze several gait cycles in a limited space. Depth cameras, such as the low-cost and easy-to-use Kinect sensor, look promising for gait analysis on a treadmill for routine outpatient clinics. However, gait analysis is based on accurately detecting gait events (such as heel-strike) by tracking the feet which may be incorrectly recognized with Kinect. Indeed depth images could lead to confusion between the ground and the feet around the contact phase. To tackle this problem we assume that heel-strike events could be indirectly estimated by searching for extreme values of the distance between knee joints along the walking longitudinal axis...
February 2015: Gait & Posture
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