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https://www.readbyqxmd.com/read/28208682/new-approaches-to-exciting-exergame-experiences-for-people-with-motor-function-impairments
#1
Martina Eckert, Ignacio Gómez-Martinho, Juan Meneses, José-Fernán Martínez
The work presented here suggests new ways to tackle exergames for physical rehabilitation and to improve the players' immersion and involvement. The primary (but not exclusive) purpose is to increase the motivation of children and adolescents with severe physical impairments, for doing their required exercises while playing. The proposed gaming environment is based on the Kinect sensor and the Blender Game Engine. A middleware has been implemented that efficiently transmits the data from the sensor to the game...
February 12, 2017: Sensors
https://www.readbyqxmd.com/read/28196139/using-data-from-the-microsoft-kinect-2-to-determine-postural-stability-in-healthy-subjects-a-feasibility-trial
#2
Behdad Dehbandi, Alexandre Barachant, Anna H Smeragliuolo, John Davis Long, Silverio Joseph Bumanlag, Victor He, Anna Lampe, David Putrino
The objective of this study was to determine whether kinematic data collected by the Microsoft Kinect 2 (MK2) could be used to quantify postural stability in healthy subjects. Twelve subjects were recruited for the project, and were instructed to perform a sequence of simple postural stability tasks. The movement sequence was performed as subjects were seated on top of a force platform, and the MK2 was positioned in front of them. This sequence of tasks was performed by each subject under three different postural conditions: "both feet on the ground" (1), "One foot off the ground" (2), and "both feet off the ground" (3)...
2017: PloS One
https://www.readbyqxmd.com/read/28165382/real-time-apnoea-monitoring-of-children-using-the-microsoft-kinect-sensor-a-pilot-study
#3
Ali Al-Naji, Kim Gibson, Sang-Heon Lee, Javaan Chahl
The objective of this study was to design a non-invasive system for the observation of respiratory rates and detection of apnoea using analysis of real time image sequences captured in any given sleep position and under any light conditions (even in dark environments). A Microsoft Kinect sensor was used to visualize the variations in the thorax and abdomen from the respiratory rhythm. These variations were magnified, analyzed and detected at a distance of 2.5 m from the subject. A modified motion magnification system and frame subtraction technique were used to identify breathing movements by detecting rapid motion areas in the magnified frame sequences...
February 3, 2017: Sensors
https://www.readbyqxmd.com/read/28141861/a-reduced-dimensionality-approach-to-uncovering-dyadic-modes-of-body-motion-in-conversations
#4
Guy Gaziv, Lior Noy, Yuvalal Liron, Uri Alon
Face-to-face conversations are central to human communication and a fascinating example of joint action. Beyond verbal content, one of the primary ways in which information is conveyed in conversations is body language. Body motion in natural conversations has been difficult to study precisely due to the large number of coordinates at play. There is need for fresh approaches to analyze and understand the data, in order to ask whether dyads show basic building blocks of coupled motion. Here we present a method for analyzing body motion during joint action using depth-sensing cameras, and use it to analyze a sample of scientific conversations...
2017: PloS One
https://www.readbyqxmd.com/read/28135284/visual-data-exploration-for-balance-quantification-in-real-time-during-exergaming
#5
Venustiano Soancatl Aguilar, Jasper J van de Gronde, Claudine J C Lamoth, Mike van Diest, Natasha M Maurits, Jos B T M Roerdink
Unintentional injuries are among the ten leading causes of death in older adults; falls cause 60% of these deaths. Despite their effectiveness to improve balance and reduce the risk of falls, balance training programs have several drawbacks in practice, such as lack of engaging elements, boring exercises, and the effort and cost of travelling, ultimately resulting in low adherence. Exergames, that is, digital games controlled by body movements, have been proposed as an alternative to improve balance. One of the main challenges for exergames is to automatically quantify balance during game-play in order to adapt the game difficulty according to the skills of the player...
2017: PloS One
https://www.readbyqxmd.com/read/28131678/digital-data-acquisition-of-shoulder-range-of-motion-and-arm-motion-smoothness-using-kinect-v2
#6
Rizki Fajar Zulkarnain, Ga-Yeong Kim, Arnold Adikrishna, Han Pyo Hong, Yoon Jeong Kim, In-Ho Jeon
BACKGROUND: Range of motion (ROM) is a clinically important parameter in evaluating joint function. However, dynamic evaluation to determine the quality of the arm motion using digitized measurement is often overlooked during clinical assessment. We evaluated the accuracy of Kinect v2 (Microsoft, Redmond, WA, USA) as a digital tool for measuring shoulder ROM objectively and proposed a concept of motion smoothness reflecting the quality of arm motion. METHODS: Ten male participants were included in a 2-stage experiment...
January 25, 2017: Journal of Shoulder and Elbow Surgery
https://www.readbyqxmd.com/read/28122039/feasibility-of-using-microsoft-kinect-to-assess-upper-limb-movement-in-type-iii-spinal-muscular-atrophy-patients
#7
Xing Chen, Juliane Siebourg-Polster, Detlef Wolf, Christian Czech, Ulrike Bonati, Dirk Fischer, Omar Khwaja, Martin Strahm
Although functional rating scales are being used increasingly as primary outcome measures in spinal muscular atrophy (SMA), sensitive and objective assessment of early-stage disease progression and drug efficacy remains challenging. We have developed a game based on the Microsoft Kinect sensor, specifically designed to measure active upper limb movement. An explorative study was conducted to determine the feasibility of this new tool in 18 ambulant SMA type III patients and 19 age- and gender-matched healthy controls...
2017: PloS One
https://www.readbyqxmd.com/read/28113775/design-and-test-of-a-closed-loop-fes-system-for-supporting-function-of-the-hemiparetic-hand-based-on-automatic-detection-using-the-microsoft-kinect-sensor
#8
Daniel Simonsen, Erika G Spaich, John Hansen, Ole K Andersen
This paper describes the design of a FES system automatically controlled in a closed loop using a Microsoft Kinect sensor, for assisting both cylindrical grasping and hand opening. The feasibility of the system was evaluated in real-time in stroke patients with hand function deficits. A hand function exercise was designed in which the subjects performed an arm and hand exercise in sitting position. The subject had to grasp one of two differently sized cylindrical objects and move it forward or backwards in the sagittal plane...
October 26, 2016: IEEE Transactions on Neural Systems and Rehabilitation Engineering
https://www.readbyqxmd.com/read/28113765/exploiting-depth-from-single-monocular-images-for-object-detection-and-semantic-segmentation
#9
Yuanzhouhan Cao, Chunhua Shen, Heng Tao Shen
Augmenting RGB data with measured depth has been shown to improve the performance of a range of tasks in computer vision including object detection and semantic segmentation. Although depth sensors such as the Microsoft Kinect have facilitated easy acquisition of such depth information, the vast majority of images used in vision tasks do not contain depth information. In this paper, we show that augmenting RGB images with estimated depth can also improve the accuracy of both object detection and semantic segmentation...
October 26, 2016: IEEE Transactions on Image Processing: a Publication of the IEEE Signal Processing Society
https://www.readbyqxmd.com/read/28113764/planelets-a-piecewise-linear-fractional-model-for-preserving-scene-geometry-in-intra-coding-of-indoor-depth-images
#10
Vahid Kiani, Ahad Harati, Abedin Vahedian
Geometrical wavelets have already proved their strength in approximation, compression, and denoising of piecewise constant and piecewise linear images. In this paper, we extend this family by introducing planelets toward an effective representation of indoor depth images. It uses linear fractional model to capture non-linearity of depth values in planar regions of the output images of Kinect-like sensors. A block-based compression framework based on planelet approximation is then presented which uses quadtree decomposition along with spatial predictions as an effective intracoding scheme...
October 26, 2016: IEEE Transactions on Image Processing: a Publication of the IEEE Signal Processing Society
https://www.readbyqxmd.com/read/28113566/moving-real-exergaming-engines-on-the-web-the-webfitforall-case-study-in-an-active-and-healthy-ageing-living-lab-environment
#11
Evdokimos Konstantinidis, Giorgos Bamparopoulos, Panagiotis Bamidis
Exergames have been the subject of research and technology innovations for a number of years. Different devices and technologies have been utilized to train the body and the mind of senior people or different patient groups. In the past we presented FitForAll, the protocol efficacy of which was proven through widely taken (controlled) pilots with more than 116 seniors for a period of two months. The current piece of work, expands this and, presents the first truly web exergaming platform, which is solely based on HTML5 and JavaScript without any browser plugin requirements...
April 27, 2016: IEEE Journal of Biomedical and Health Informatics
https://www.readbyqxmd.com/read/28113385/using-data-from-the-microsoft-kinect-2-to-quantify-upper-limb-behavior-a-feasibility-study
#12
Behdad Dehbandi, Alexandre Barachant, David Harary, John Long, K Zoe Tsagaris, Silverio Bumanlag, Victor He, David Putrino
The objective of this study was to assess whether the novel application of a machine learning approach to data collected from the Microsoft Kinect 2 (MK2) could be used to classify differing levels of upper limb impairment. twenty-four healthy subjects completed items of the Wolf Motor Function Test (WMFT), which is a clinically validated metric of upper limb function for stroke survivors. Subjects completed the WMFT 3 times: 1) as a healthy individual, 2) emulating mild impairment, and 3) emulating moderate impairment...
September 5, 2016: IEEE Journal of Biomedical and Health Informatics
https://www.readbyqxmd.com/read/28111643/mathematical-modeling-and-evaluation-of-human-motions-in-physical-therapy-using-mixture-density-neural-networks
#13
A Vakanski, J M Ferguson, S Lee
OBJECTIVE: The objective of the proposed research is to develop a methodology for modeling and evaluation of human motions, which will potentially benefit patients undertaking a physical rehabilitation therapy (e.g., following a stroke or due to other medical conditions). The ultimate aim is to allow patients to perform home-based rehabilitation exercises using a sensory system for capturing the motions, where an algorithm will retrieve the trajectories of a patient's exercises, will perform data analysis by comparing the performed motions to a reference model of prescribed motions, and will send the analysis results to the patient's physician with recommendations for improvement...
December 2016: J Physiother Phys Rehabil
https://www.readbyqxmd.com/read/28102090/upper-extremity-movement-reliability-and-validity-of-the-kinect-version-2
#14
Lydia R Reither, Matthew H Foreman, Nicole Migotsky, Chase Haddix, Jack R Engsberg
PURPOSE: Studies have shown that marker-less motion detection systems, such as the first generation Kinect (Kinect 1), have good reliability and potential for clinical application. Studies of the second generation Kinect (Kinect 2) have shown a large range of accuracy relative to balance and joint localization; however, few studies have investigated the validity and reliability of the Kinect 2 for upper extremity motion. This investigation compared reliability and validity among the Kinect 1, Kinect 2 and a video motion capture (VMC) system for upper extremity movements...
January 19, 2017: Disability and Rehabilitation. Assistive Technology
https://www.readbyqxmd.com/read/28098503/relationship-between-perceived-competence-and-performance-during-real-and-virtual-motor-tasks-by-children-with-developmental-coordination-disorder
#15
Batya Engel-Yeger, Rotem Sido, Aviva Mimouni-Bloch, Patrice L Weiss
PURPOSE: (i) To compare children with DCD and typically developing participants via standard motor assessments, two interactive virtual games, measures of physical, social and cognitive self-competence and feedback while playing the virtual games and (ii) To examine the contribution of age and each motor assessment to predict self-competence. METHODS: Participants were 25 boys with DCD and 25 typically developing boys, aged 5-9 years. They completed the M-ABC-2, the Pictorial Scale of Perceived Competence, the 6-Minute Walk Test, and then played the two Kinect games and completed the Short Feedback Questionnaire for Children...
January 18, 2017: Disability and Rehabilitation. Assistive Technology
https://www.readbyqxmd.com/read/28077348/user-centered-design-of-serious-games-for-older-adults-following-3-years-of-experience-with-exergames-for-seniors-a-study-design
#16
Ellen Brox, Stathis Th Konstantinidis, Gunn Evertsen
BACKGROUND: Seniors need sufficient balance and strength to manage in daily life, and sufficient physical activity is required to achieve and maintain these abilities. This can be a challenge, but fun and motivational exergames can be of help. However, most commercial games are not suited for this age group for several reasons. Many usability studies and user-centered design (UCD) protocols have been developed and applied, but to the best of our knowledge none of them are focusing on seniors' use of games for physical activity...
January 11, 2017: JMIR Serious Games
https://www.readbyqxmd.com/read/28048831/su-g-jep4-01-an-assessment-of-a-microsoft-kinect-v2-sensor-for-voluntary-breath-hold-monitoring-in-radiotherapy
#17
D Edmunds, E Donovan
PURPOSE: To determine whether the Microsoft Kinect Version 2 (Kinect v2), a commercial off-the-shelf (COTS) depth sensors designed for entertainment purposes, were robust to the radiotherapy treatment environment and could be suitable for monitoring of voluntary breath-hold compliance. This could complement current visual monitoring techniques, and be useful for heart sparing left breast radiotherapy. METHODS: In-house software to control Kinect v2 sensors, and capture output information, was developed using the free Microsoft software development kit, and the Cinder creative coding C++ library...
June 2016: Medical Physics
https://www.readbyqxmd.com/read/28048329/su-g-jep1-14-respiratory-motion-tracking-using-kinect-v2
#18
E Silverstein, M Snyder
PURPOSE: Investigate capability and accuracy of Kinect v2 camera for tracking respiratory motion to use as a tool during 4DCT or in combination with motion management during radiotherapy treatments. METHODS: Utilizing the depth sensor on the Kinect as well as code written in C#, the respiratory motion of a patient was tracked by recording the depth (distance) values obtained at several points on the patient. Respiratory traces were also obtained using Varian's RPM system, which traces the movement of a propriety marker placed on the patient's abdomen, as well as an Anzai belt, which utilizes a pressure sensor to track respiratory motion...
June 2016: Medical Physics
https://www.readbyqxmd.com/read/28047382/mo-fg-campus-tep1-02-facial-recognition-and-recall-using-kinect-v2-for-patient-verification
#19
E Silverstein, M Snyder
PURPOSE: Investigate capability and accuracy of the Kinect v2 camera for facial recognition to use as a tool for patient check-in upon arrival, as well as patient verification when entering treatment vault. METHODS: The Kinect software has a native facial recognition feature which recognizes major facial landmarks (eyes, nose, mouth, etc). 1347 facial vertices are automatically generated, each located at a specific facial point at standardized distances between points...
June 2016: Medical Physics
https://www.readbyqxmd.com/read/28047317/su-f-t-235-optical-scan-based-collision-avoidance-using-multiple-stereotactic-cameras-during-simulation
#20
R Cardan, R Popple, M Dobelbower, J De Los Santos, J Fiveash
PURPOSE: To demonstrate the ability to quickly generate an accurate collision avoidance map using multiple stereotactic cameras during simulation. METHODS: Three Kinect stereotactic cameras were placed in the CT simulation room and optically calibrated to the DICOM isocenter. Immediately before scanning, the patient was optically imaged to generate a 3D polygon mesh, which was used to calculate the collision avoidance area using our previously developed framework...
June 2016: Medical Physics
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