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Chin-Sheng Chen, Po-Chun Chen, Chih-Ming Hsu
This paper presents a novel 3D feature descriptor for object recognition and to identify poses when there are six-degrees-of-freedom for mobile manipulation and grasping applications. Firstly, a Microsoft Kinect sensor is used to capture 3D point cloud data. A viewpoint feature histogram (VFH) descriptor for the 3D point cloud data then encodes the geometry and viewpoint, so an object can be simultaneously recognized and registered in a stable pose and the information is stored in a database. The VFH is robust to a large degree of surface noise and missing depth information so it is reliable for stereo data...
November 23, 2016: Sensors
Gaddi Blumrosen, Yael Miron, Nathan Intrator, Meir Plotnik
Assessment of body kinematics during performance of daily life activities at home plays a significant role in medical condition monitoring of elderly people and patients with neurological disorders. The affordable and non-wearable Microsoft Kinect ("Kinect") system has been recently used to estimate human subject kinematic features. However, the Kinect suffers from a limited range and angular coverage, distortion in skeleton joints' estimations, and erroneous multiplexing of different subjects' estimations to one...
November 23, 2016: Sensors
Yatong An, Tyler Bell, Beiwen Li, Jing Xu, Song Zhang
Structured light system calibration often requires the usage of a calibration target with a similar size as the field of view (FOV), which brings challenges to a large-range structured light system calibration since fabricating large calibration targets is difficult and expensive. This paper presents a large-range system calibration method that does not need a large calibration target. The proposed method includes two stages: (1) accurately calibrate intrinsics (i.e., focal lengths and principle points) at a near range where both the camera and projector are out of focus, and (2) calibrate the extrinsic parameters (translation and rotation) from camera to projector with the assistance of a low-accuracy, large-range three-dimensional (3D) sensor (e...
November 20, 2016: Applied Optics
Karen Otte, Bastian Kayser, Sebastian Mansow-Model, Julius Verrel, Friedemann Paul, Alexander U Brandt, Tanja Schmitz-Hübsch
BACKGROUND: The introduction of low cost optical 3D motion tracking sensors provides new options for effective quantification of motor dysfunction. OBJECTIVE: The present study aimed to evaluate the Kinect V2 sensor against a gold standard motion capture system with respect to accuracy of tracked landmark movements and accuracy and repeatability of derived clinical parameters. METHODS: Nineteen healthy subjects were concurrently recorded with a Kinect V2 sensor and an optical motion tracking system (Vicon)...
2016: PloS One
Jaime A Garcia, Daniel Schoene, Stephen R Lord, Kim Delbaere, Trinidad Valenzuela, Karla Felix Navarro
BACKGROUND: Systematic review evidence has shown that step training reduces the number of falls in older people by half. This study investigated the feasibility and effectiveness of a bespoke Kinect stepping exergame in an unsupervised home-based setting. MATERIALS AND METHODS: An uncontrolled pilot trial was conducted in 12 community-dwelling older adults (mean age 79.3 ± 8.7 years, 10 females). The stepping game comprised rapid stepping, attention, and response inhibition...
November 18, 2016: Games for Health
Halim Tannous, Dan Istrate, Aziz Benlarbi-Delai, Julien Sarrazin, Didier Gamet, Marie Christine Ho Ba Tho, Tien Tuan Dao
Exergames have been proposed as a potential tool to improve the current practice of musculoskeletal rehabilitation. Inertial or optical motion capture sensors are commonly used to track the subject's movements. However, the use of these motion capture tools suffers from the lack of accuracy in estimating joint angles, which could lead to wrong data interpretation. In this study, we proposed a real time quaternion-based fusion scheme, based on the extended Kalman filter, between inertial and visual motion capture sensors, to improve the estimation accuracy of joint angles...
November 15, 2016: Sensors
Luciana Maria Malosá Sampaio, Savitha Subramaniam, Ross Arena, Tanvi Bhatt
BACKGROUND: Physical inactivity and low resting heart rate variability (HRV) are associated with an increased cardiovascular deconditioning, risk of secondary stroke and mortality. Aerobic dance is a multidimensional physical activity and recent research supports its application as a valid alternative cardiovascular training. Furthermore, technological advances have facilitated the emergence of new approaches for exercise training holding promise, especially those methods that integrate rehabilitation with virtual gaming...
October 2016: Journal of Vascular and Interventional Neurology
Sang D Choi, Liangjie Guo, Donghun Kang, Shuping Xiong
Training balance and promoting physical activities in the elderly can contribute to fall-prevention. Due to the low adherence of conventional physical therapy, fall interventions through exergame technologies are emerging. The purpose of this review study is to synthesize the available research reported on exergame technology and interactive interventions for fall prevention in the older population. Twenty-five relevant papers retrieved from five major databases were critically reviewed and analyzed. Results showed that the most common exergaming device for fall intervention was Nintendo Wii, followed by Xbox Kinect...
November 5, 2016: Applied Ergonomics
Vinay Venkataraman, Pavan Turaga
This paper presents a shape-theoretic framework for dynamical analysis of nonlinear dynamical systems which appear frequently in several video-based inference tasks. Traditional approaches to dynamical modeling have included linear and nonlinear methods with their respective drawbacks. A novel approach we propose is the use of descriptors of the shape of the dynamical attractor as a feature representation of nature of dynamics. The proposed framework has two main advantages over traditional approaches: a) representation of the dynamical system is derived directly from the observational data, without any inherent assumptions, and b) the proposed features show stability under different time-series lengths where traditional dynamical invariants fail...
December 2016: IEEE Transactions on Pattern Analysis and Machine Intelligence
Pierre Plantard, Hubert P H Shum, Anne-Sophie Le Pierres, Franck Multon
Evaluating potential musculoskeletal disorders risks in real workstations is challenging as the environment is cluttered, which makes it difficult to accurately assess workers' postures. Being marker-free and calibration-free, Microsoft Kinect is a promising device although it may be sensitive to occlusions. We propose and evaluate a RULA ergonomic assessment in real work conditions using recently published occlusion-resistant Kinect skeleton data correction. First, we compared postures estimated with this method to ground-truth data, in standardized laboratory conditions...
November 4, 2016: Applied Ergonomics
Ioannis Pachoulakis, Nikolaos Xilourgos, Nikolaos Papadopoulos, Anastasia Analyti
We report on a Kinect-based, augmented reality, real-time physiotherapy platform tailored to Parkinson's disease (PD) patients. The platform employs a Kinect sensor to extract real-time 3D skeletal data (joint information) from a patient facing the sensor (at 30 frames per second). In addition, a small collection of exercises practiced in traditional physiotherapy for PD patients has been implemented in the Unity 3D game engine. Each exercise employs linear or circular movement patterns and poses very light-weight processing demands on real-time computations...
2016: Journal of Medical Engineering
Evan de Bie, Bjorn Oskarsson, Nanette C Joyce, Alina Nicorici, Gregorij Kurillo, Jay J Han
Our objective was to evaluate longitudinal changes in Microsoft Kinect measured upper extremity reachable workspace relative surface area (RSA) versus the revised Amyotrophic Lateral Sclerosis Functional Rating Scale (ALSFRS-R), ALSFRS-R upper extremity sub-scale and Forced Vital Capacity (FVC) in a cohort of patients diagnosed with amyotrophic lateral sclerosis (ALS). Ten patients diagnosed with ALS (ages 52-76 years, ALSFRS-R: 8-41 at entry) were tested using single 3D depth sensor, Microsoft Kinect, to measure reachable workspace RSA across five visits spanning one year...
November 4, 2016: Amyotrophic Lateral Sclerosis and Frontotemporal Degeneration
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
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
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
Alireza Rastegarpanah, Mozafar Saadat, Alberto Borboni
The aim of this study is to investigate the capability of a 6-DoF parallel robot to perform various rehabilitation exercises. The foot trajectories of twenty healthy participants have been measured by a Vicon system during the performing of four different exercises. Based on the kinematics and dynamics of a parallel robot, a MATLAB program was developed in order to calculate the length of the actuators, the actuators' forces, workspace, and singularity locus of the robot during the performing of the exercises...
2016: Applied Bionics and Biomechanics
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
E Auvinet, F Multon, V Manning, J Meunier, J P Cobb
Gait 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...
August 24, 2016: Gait & Posture
Na Jin Seo, Mojtaba F Fathi, Pilwon Hur, Vincent Crocher
STUDY DESIGN: Repeated measures. INTRODUCTION: The Kinect (Microsoft, Redmond, WA) is widely used for telerehabilitation applications including rehabilitation games and assessment. PURPOSE OF THE STUDY: To determine effects of the Kinect location relative to a person on measurement accuracy of upper limb joint angles. METHODS: Kinect error was computed as difference in the upper limb joint range of motion (ROM) during target reaching motion, from the Kinect vs 3D Investigator Motion Capture System (NDI, Waterloo, Ontario, Canada), and compared across 9 Kinect locations...
October 18, 2016: Journal of Hand Therapy: Official Journal of the American Society of Hand Therapists
Daniel Leightley, Moi Hoon Yap, Jessica Coulson, Mathew Piasecki, James Cameron, Yoann Barnouin, Jon Tobias, Jamie S McPhee
The aim of this study was to compare postural sway during a series of static balancing tasks and during five chair rises between healthy young (mean (SEM) age 26(1) yrs), healthy old (age 67(1) yrs) and master athlete runners (age 67(1) yrs; competing and training for the previous 51(5) yrs) using the Microsoft Kinect One. The healthy old had more sway than young in all balance tasks. The master athletes had similar sway to young during two-leg balancing and one leg standing with eyes open. When balancing on one-leg with eyes closed, both the healthy old and the master athletes had around 17-fold more sway than young...
October 21, 2016: Journal of Aging and Physical Activity
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