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https://www.readbyqxmd.com/read/28647861/qualitative-spatial-logic-descriptors-from-3d-indoor-scenes-to-generate-explanations-in-natural-language
#1
Zoe Falomir, Thomas Kluth
The challenge of describing 3D real scenes is tackled in this paper using qualitative spatial descriptors. A key point to study is which qualitative descriptors to use and how these qualitative descriptors must be organized to produce a suitable cognitive explanation. In order to find answers, a survey test was carried out with human participants which openly described a scene containing some pieces of furniture. The data obtained in this survey are analysed, and taking this into account, the QSn3D computational approach was developed which uses a XBox 360 Kinect to obtain 3D data from a real indoor scene...
June 24, 2017: Cognitive Processing
https://www.readbyqxmd.com/read/28646914/markerless-motion-capture-systems-as-training-device-in-neurological-rehabilitation-a-systematic-review-of-their-use-application-target-population-and-efficacy
#2
REVIEW
Els Knippenberg, Jonas Verbrugghe, Ilse Lamers, Steven Palmaers, Annick Timmermans, Annemie Spooren
BACKGROUND: Client-centred task-oriented training is important in neurological rehabilitation but is time consuming and costly in clinical practice. The use of technology, especially motion capture systems (MCS) which are low cost and easy to apply in clinical practice, may be used to support this kind of training, but knowledge and evidence of their use for training is scarce. The present review aims to investigate 1) which motion capture systems are used as training devices in neurological rehabilitation, 2) how they are applied, 3) in which target population, 4) what the content of the training and 5) efficacy of training with MCS is...
June 24, 2017: Journal of Neuroengineering and Rehabilitation
https://www.readbyqxmd.com/read/28634409/characterization-of-the-3d-structure-of-a-cultivated-land-surface-and-its-influence-on-wheat-seedlings-growth-using-kinect
#3
Tao Liu, Wen Chen, Fujian Li, Wei Wu, Chengming Sun, Jinfeng Ding, Xinkai Zhu, Wenshan Guo
The quality of wheat emergence has a significant impact on the subsequent growth and development of seedlings. The structure of cultivated land surfaces is an important factor influencing wheat seedlings growth. However, few studies have investigated this. In this study, three-dimensional structural parameters of cultivated land surfaces were collected using 3D imaging equipment, and the effects of different grades of lands on the emergence and growth of wheat were evaluated. The evaluation criteria for the soil blocks was designed according to the ISO-25178-2 standard, and the wheat emergence rate, speed, tillering capacity per plant, dry weight per plant, and final yields of different grades of cultivated land were investigated...
June 20, 2017: Scientific Reports
https://www.readbyqxmd.com/read/28621708/breathing-analysis-using-thermal-and-depth-imaging-camera-video-records
#4
Aleš Procházka, Hana Charvátová, Oldřich Vyšata, Jakub Kopal, Jonathon Chambers
The paper is devoted to the study of facial region temperature changes using a simple thermal imaging camera and to the comparison of their time evolution with the pectoral area motion recorded by the MS Kinect depth sensor. The goal of this research is to propose the use of video records as alternative diagnostics of breathing disorders allowing their analysis in the home environment as well. The methods proposed include (i) specific image processing algorithms for detecting facial parts with periodic temperature changes; (ii) computational intelligence tools for analysing the associated videosequences; and (iii) digital filters and spectral estimation tools for processing the depth matrices...
June 16, 2017: Sensors
https://www.readbyqxmd.com/read/28606661/effects-of-virtual-reality-training-using-xbox-kinect-on-motor-function-in-stroke-survivors-a-preliminary-study
#5
Dae-Sung Park, Do-Gyun Lee, Kyeongbong Lee, GyuChang Lee
BACKGROUND: Although the Kinect gaming system (Microsoft Corp, Redmond, WA) has been shown to be of therapeutic benefit in rehabilitation, the applicability of Kinect-based virtual reality (VR) training to improve motor function following a stroke has not been investigated. This study aimed to investigate the effects of VR training, using the Xbox Kinect-based game system, on the motor recovery of patients with chronic hemiplegic stroke. METHODS: This was a randomized controlled trial...
June 9, 2017: Journal of Stroke and Cerebrovascular Diseases: the Official Journal of National Stroke Association
https://www.readbyqxmd.com/read/28603770/embodied-science-and-mixed-reality-how-gesture-and-motion-capture-affect-physics-education
#6
Mina C Johnson-Glenberg, Colleen Megowan-Romanowicz
A mixed design was created using text and game-like multimedia to instruct in the content of physics. The study assessed which variables predicted learning gains after a 1-h lesson on the electric field. The three manipulated variables were: (1) level of embodiment; (2) level of active generativity; and (3) presence of story narrative. Two types of tests were administered: (1) a traditional text-based physics test answered with a keyboard; and (2) a more embodied, transfer test using the Wacom large tablet where learners could use gestures (long swipes) to create vectors and answers...
2017: Cognitive Research: Principles and Implications
https://www.readbyqxmd.com/read/28595842/preoperative-implant-selection-for-unilateral-breast-reconstruction-using-3d-imaging-with-the-microsoft-kinect-sensor
#7
Stefanie T L Pöhlmann, Elaine Harkness, Christopher J Taylor, Ashu Gandhi, Susan M Astley
AIMS: This study aimed to investigate whether breast volume measured preoperatively using a Kinect 3D sensor could be used to determine the most appropriate implant size for reconstruction. METHODS: Ten patients underwent 3D imaging before and after unilateral implant-based reconstruction. Imaging used seven configurations, varying patient pose and Kinect location, which were compared regarding suitability for volume measurement. Four methods of defining the breast boundary for automated volume calculation were compared, and repeatability assessed over five repetitions...
April 23, 2017: Journal of Plastic, Reconstructive & Aesthetic Surgery: JPRAS
https://www.readbyqxmd.com/read/28587177/classification-of-k-pop-dance-movements-based-on-skeleton-information-obtained-by-a-kinect-sensor
#8
Dohyung Kim, Dong-Hyeon Kim, Keun-Chang Kwak
This paper suggests a method of classifying Korean pop (K-pop) dances based on human skeletal motion data obtained from a Kinect sensor in a motion-capture studio environment. In order to accomplish this, we construct a K-pop dance database with a total of 800 dance-movement data points including 200 dance types produced by four professional dancers, from skeletal joint data obtained by a Kinect sensor. Our classification of movements consists of three main steps. First, we obtain six core angles representing important motion features from 25 markers in each frame...
June 1, 2017: Sensors
https://www.readbyqxmd.com/read/28574355/feature-interaction-augmented-sparse-learning-for-fast-kinect-motion-detection
#9
Xiaojun Chang, Zhigang Ma, Ming Lin, Yi Yang, Alexander Hauptmann
The Kinect sensing devices have been widely used in current HCI entertainment. A fundamental issue involved is to detect users' motions accurately and quickly. In this paper, we tackle it by proposing a linear algorithm which is augmented by feature interaction. The linear property guarantees its speed whereas feature interaction captures the higher-order effect from the data to enhance its accuracy. The Schatten-p norm is leveraged to integrate the main linear effect and the higher-order nonlinear effect by mining the correlation between them...
May 26, 2017: IEEE Transactions on Image Processing: a Publication of the IEEE Signal Processing Society
https://www.readbyqxmd.com/read/28564622/suitability-of-functional-evaluation-embedded-in-serious-game-rehabilitation-exercises-to-assess-motor-development-across-lifespan
#10
B Bonnechère, V Sholukha, L Omelina, M Van Vooren, B Jansen, S Van Sint Jan
The aim of this study was to determine if the results of activities performed using specially developed serious games for physical rehabilitation could be used as an indicator of the natural maturation and decline of motor control in healthy participants. Eighty-one participants (19 children (5-15 years old), 40 adults (18-65 years old) and 22 aged subjects (60-88 years old) participated in this study. Motions performed were recorded using the Kinect sensor. Three different exercises embedded in the games were used to assess upper limb, trunk and lower limb control...
May 25, 2017: Gait & Posture
https://www.readbyqxmd.com/read/28538695/a-new-calibration-method-for-commercial-rgb-d-sensors
#11
Walid Darwish, Shenjun Tang, Wenbin Li, Wu Chen
Commercial RGB-D sensors such as Kinect and Structure Sensors have been widely used in the game industry, where geometric fidelity is not of utmost importance. For applications in which high quality 3D is required, i.e., 3D building models of centimeter‑level accuracy, accurate and reliable calibrations of these sensors are required. This paper presents a new model for calibrating the depth measurements of RGB-D sensors based on the structured light concept. Additionally, a new automatic method is proposed for the calibration of all RGB-D parameters, including internal calibration parameters for all cameras, the baseline between the infrared and RGB cameras, and the depth error model...
May 24, 2017: Sensors
https://www.readbyqxmd.com/read/28508821/measuring-the-negative-impact-of-long-sitting-hours-at-high-school-students-using-the-microsoft-kinect
#12
Norbert Gal-Nadasan, Emanuela Georgiana Gal-Nadasan, Vasile Stoicu-Tivadar, Dan V Poenaru, Diana Popa-Andrei
This paper suggests the usage of the Microsoft Kinect to detect the onset of the scoliosis at high school students due to incorrect sitting positions. The measurement is done by measuring the overall posture in orthostatic position using the Microsoft Kinect. During the measuring process several key points of the human body are tracked like the hips and shoulders to form the postural data. The test was done on 30 high school students who spend 6 to 7 hours per day in the school benches. The postural data is statistically processed by IBM Watson's Analytics...
2017: Studies in Health Technology and Informatics
https://www.readbyqxmd.com/read/28508027/violent-actions-against-children
#13
Muhammad Alhammami, Chee-Pun Ooi, Wooi-Haw Tan
We present in this paper a novel dataset (MMU VAAC) for violent actions against children recognition. This original dataset has been recorded using Microsoft Kinect with the usage of a child mannequin. MMU VAAC dataset contains skeleton joints, depth, and RGB modalities.
June 2017: Data in Brief
https://www.readbyqxmd.com/read/28506007/validation-study-of-a-kinect-based-body-imaging-system
#14
Sara Bragança, Pedro Arezes, Miguel Carvalho, Susan P Ashdown, Bugao Xu, Ignacio Castellucci
BACKGROUND: Understanding the reliability and precision of the data obtained using three-dimensional body scanners is very important if it is intended to replace the traditional data collection methods. If the collection of anthropometric data with three-dimensional body scanners is a fast and reliable process that produces precise data at a low price, it could be used for numerous applications worldwide. Many studies have addressed data collected by white light and laser based scanners...
2017: Work: a Journal of Prevention, Assessment, and Rehabilitation
https://www.readbyqxmd.com/read/28498339/easy-and-fast-reconstruction-of-a-3d-avatar-with-an-rgb-d-sensor
#15
Aihua Mao, Hong Zhang, Yuxin Liu, Yinglong Zheng, Guiqing Li, Guoqiang Han
This paper proposes a new easy and fast 3D avatar reconstruction method using an RGB-D sensor. Users can easily implement human body scanning and modeling just with a personal computer and a single RGB-D sensor such as a Microsoft Kinect within a small workspace in their home or office. To make the reconstruction of 3D avatars easy and fast, a new data capture strategy is proposed for efficient human body scanning, which captures only 18 frames from six views with a close scanning distance to fully cover the body; meanwhile, efficient alignment algorithms are presented to locally align the data frames in the single view and then globally align them in multi-views based on pairwise correspondence...
May 12, 2017: Sensors
https://www.readbyqxmd.com/read/28492473/acquisition-and-neural-network-prediction-of-3d-deformable-object-shape-using-a-kinect-and-a-force-torque-sensor
#16
Bilal Tawbe, Ana-Maria Cretu
The realistic representation of deformations is still an active area of research, especially for deformable objects whose behavior cannot be simply described in terms of elasticity parameters. This paper proposes a data-driven neural-network-based approach for capturing implicitly and predicting the deformations of an object subject to external forces. Visual data, in the form of 3D point clouds gathered by a Kinect sensor, is collected over an object while forces are exerted by means of the probing tip of a force-torque sensor...
May 11, 2017: Sensors
https://www.readbyqxmd.com/read/28491483/twelve-weeks-of-dance-exergaming-in-overweight-and-obese-adolescent-girls-transfer-effects-on-physical-activity-screen-time-and-self-efficacy
#17
Amanda E Staiano, Robbie A Beyl, Daniel S Hsia, Peter T Katzmarzyk, Robert L Newton
BACKGROUND: Given the low levels of physical activity (PA) among adolescent girls in the US, there is a need to identify tools to motivate increased PA. Although there is limited evidence that adolescents transfer PA from one context to another context, exergames (i.e., video games that require gross motor activity) may act as a gateway to promote overall PA outside of game play. The purpose of this study was to examine potential transfer effects (i.e., influences on external behaviors and psychological constructs) of a 12-week exergaming intervention on adolescent girls' PA, screen-time, and self-efficacy towards PA, as well as the intrinsic motivation of exergaming...
March 2017: Journal of Sport and Health Science
https://www.readbyqxmd.com/read/28475056/fast-descriptors-and-correspondence-propagation-for-robust-global-point-cloud-registration
#18
Huan Lei, Guang Jiang, Long Quan
In this paper, we present a robust global approach for point cloud registration from uniformly sampled points. Based on eigenvalues and normals computed from multiple scales, we design fast descriptors to extract local structures of these points. The eigenvalue-based descriptor is effective at finding seed matches with low precision using nearest neighbour search. Generally, recovering the transformation from matches with low precision is rather challenging. Therefore, we introduce a mechanism named correspondence propagation to aggregate each seed match into a set of numerous matches...
May 3, 2017: IEEE Transactions on Image Processing: a Publication of the IEEE Signal Processing Society
https://www.readbyqxmd.com/read/28464927/design-and-test-of-an-automated-version-of-the-modified-jebsen-test-of-hand-function-using-microsoft-kinect
#19
Daniel Simonsen, Ida F Nielsen, Erika G Spaich, Ole K Andersen
BACKGROUND: The present paper describes the design and evaluation of an automated version of the Modified Jebsen Test of Hand Function (MJT) based on the Microsoft Kinect sensor. METHODS: The MJT was administered twice to 11 chronic stroke subjects with varying degrees of hand function deficits. The test times of the MJT were evaluated manually by a therapist using a stopwatch, and automatically using the Microsoft Kinect sensor. The ground truth times were assessed based on inspection of the video-recordings...
May 2, 2017: Journal of Neuroengineering and Rehabilitation
https://www.readbyqxmd.com/read/28464097/live-animal-assessments-of-rump-fat-and-muscle-score-in-angus-cows-and-steers-using-3-dimensional-imaging
#20
M J McPhee, B J Walmsley, B Skinner, B Littler, J P Siddell, L M Cafe, J F Wilkins, V H Oddy, A Alempijevic
The objective of this study was to develop a proof of concept for using off-the-shelf Red Green Blue-Depth (RGB-D) Microsoft Kinect cameras to objectively assess P8 rump fat (P8 fat; mm) and muscle score (MS) traits in Angus cows and steers. Data from low and high muscled cattle (156 cows and 79 steers) were collected at multiple locations and time points. The following steps were required for the 3-dimensional (3D) image data and subsequent machine learning techniques to learn the traits: 1) reduce the high dimensionality of the point cloud data by extracting features from the input signals to produce a compact and representative feature vector, 2) perform global optimization of the signatures using machine learning algorithms and a parallel genetic algorithm, and 3) train a sensor model using regression-supervised learning techniques on the ultrasound P8 fat and the classified learning techniques for the assessed MS for each animal in the data set...
April 2017: Journal of Animal Science
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