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In this paper, we present experiments on the design of a novel movement analysis system for real-time balance assessment in the frail elderly. Using the Microsoft Kinect sensors, we capture TUG (Timed Up and Go) tests and mainly analyze the transfer from sitting-to-standing and back-to-sitting which represent two of the most commonly executed human movements. Nine spatio-temporal parameters were extracted...
In this paper, we present a feasibility study for using a single Microsoft Kinect sensor to assess the quality of rehabilitation exercises. Unlike competing studies that have focused on the validation of the accuracy of Kinect motion sensing data at the level of joint positions, joint angles, and displacement of joints, we take a rule based approach. The advantage of our approach is that it provides...
Human gait capture by vision plays an important role in the guidance for the rehabilitation of the lower limbs dysfunction patients. Unfortunately, it is not included in most of the present rehabilitation devices. This paper presents a novel real-time system for human gait capture by detecting the joints trajectory to obtain 3-D information of the joints motion by Kinect. Firstly, we put markers on...
The use of non-invasive methods for detecting motion of the human body in three dimensions has become very popular in recent years due to commercial availability of economically priced 3D sensors. In this paper, we present a web-based interactive serious game interface that uses noninvasive methods to recognize the movements of the body. Our framework provides a mechanism that can engage disabled...
Games can create an immersive environment from recreational resources to aid in physical and motor rehabilitation, assisting the patient in the correct execution of movements through stimulation from interactive elements of digital games. However, for a game to be able to assist in rehabilitation it is necessary that it presents a set of features to accompany the exercises and help treatment. To this...
Microsoft Kinect sensors nowadays are widely used for real-time controller-free virtual reality (VR) interactions. However, there has been limited research on interaction-oriented analysis of motion data captured by Kinect from those who suffer from both intellectual and physical challenges. In this paper, a software framework based on Kinect is proposed to support a psycho-educational program (InSPAL)...
Low cost depth sensors could potentially allow for home-based care and rehabilitation using virtual systems. Currently, no publicly available and peer-reviewed assessment has been made on the accuracy of joint position data determined by the Microsoft KinectTM for assessment of upper extremity movements. We devised and validated clinically-based angle classifications for random arm movements in 3D-space,...
Virtual maintainability analysis is an important step of the ordnance maintainability design and verification. It involves the design of a large quantity of virtual man's gestures. An appropriate motion capture system can greatly facilitate the analysis. This article discusses real-time human motion capture through multi-Kinect sensors, which provide some useful information about the maintainability...
We have checked if it is possible to increase effectiveness of standard tracking library (Kinect Software Development Kit) by fusion of body joints gathered from different sensors positioned around the user. The proposed calibration procedure enables integration of skeleton data from set of tracking devices into one skeleton. That procedure eliminates many segmentation and tracking errors. The test...
The paper presents the development of a virtual drums prototype, based on natural interaction, trough a Kinect device. Results of early tests are encouraging, but the prototype can definitively be improved. The project aims to serve as basis for future developments, and several projects are already undergoing at the School of Informatics Engineering of the Pontifical Catholic University of Valparaiso...
This paper presents a new senior health monitoring system using the Kinect device to monitor elderly people and detect when they are likely to fall by measuring their gait, and analyzing change in posture when they change from sitting to standing or vice versa. Support vector machine is used to analyze the gait and posture data obtained from the Kinect device. Several experiments were performed to...
Mimicking real-time human motion with a low cost solution has been an extremely difficult task in the past but with the release of the Microsoft Kinect motion capture system this problem has been simplified. This paper discusses the feasibility and design behind a simple robotic skeleton which utilizes the Kinect to mimic human movements in real-time. The long-term goal of this project is to construct...
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