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Simulating multi-body dynamics with both rigid and flexible parts and with frictional contacts is a hard problem. We solve this by expressing the couplings between the bodies as position level constraints. The implicit treatment of the constraint directions gives us improved stability over velocity based methods. Then by employing regularization of nonlinear constraints and a convex minimization formulation,...
The current advances in hardware led to the development of the GPGPU (General-purpose computing on graphics processing units) paradigm. Thus, nowadays, the GPU (Graphics Processing Unit) is used not only for graphics programming, but also for general purpose algorithms. This paper discusses several methods regarding the use of CUDA (Compute Unified Device Architecture) for 2D and 3D image processing...
Nowadays, people have to face many challenges In order to become familiar with all the functionalities of electronical devices. The training process becomes thus essential, especially when we are referring to consumer electronics created for people with disabilities. Our paper presents the importance of training visually impaired people for an advanced sensory substitution device. By using the advantages...
We propose a new method for segmenting indoor scenes captured with RGBD or depth cameras with a simple and fast iterative CPU segmentation. The segmentation consists of three main steps. In the first stage, regions grow by adding new pixels based on depth information and normal vectors. Next, multiple regions are merged into bigger surfaces based on adjacency and region statistics. The last stage...
This paper aims to test the hypothesis that audiovisual perceptual feedback based training can improve the sound localization accuracy and the navigational skills in a virtual auditory display where 3D sounds are created using non-individualized HRTFs. In our experiment, we tested the spatial auditory localization performance of nine sighted subjects prior and consequently a series of training procedures...
This article presents the general architecture and some implementation details for the TRAVEE national project, with the purpose of assisting rehabilitation sessions in times where survival rate after stroke increases and therapists need specialized tools that reduce their overload. The TRAVEE architecture was designed to separate as much as possible the functionalities implemented by each partner...
Staircases are among the most common architectural features in urban environments. In this paper, we describe a method for detecting indoor staircases from depth images. The objective of this development is to aid visually impaired people in perceiving the environment, especially in unfamiliar places. This method is based on the detection and clustering of patches that have the surface normal vectors...
Near infrared light or NIR is not absorbed well by water or blood, which are the main components of biological tissue. For this reason, it can reach a significant depth of optical penetration, thus achieving increased illumination of internal structures. Even if there are some approaches based on near infrared light that allow the analysis of tissue near the skin, there is very little research regarding...
The aim of this paper is to describe the methods used for obtaining the 3D models of the human musculoskeletal system based on image processing. The resulted models are integrated into a system based on emerging technologies, such as VR (Virtual Reality) and AR (Augmented Reality), aimed to aid the learning process in the study of the human movement biomechanics. The constructed system is designed...
The TRAVEE system is a Virtual Reality (VR) based system that will assist patients disabled as a result of a cerebrovascular accident as well as doctors, physicians and physiotherapists working alongside the patients toward the rehabilitation of their upper limbs. The system has been developed throughout the past two years and it has reached the state of the first in-vivo tests with the patients....
Virtual reality represents an emerging technology, which can be successfully used to develop training tools in many domains, such as military, space, education or healthcare. The current paper proposes a training strategy for a sensory substitution device in order to improve the ability of visually impaired people to be autonomous, thus to increase the quality of their lives. The core of the strategy...
General aspects regarding software quality are discussed. Bayesian networks mathematical model is proposed to evaluate the software quality, from the reliability point of view. This model was previously used to evaluate a substation monitoring software system developed in Romania as case study. Currently, we extend it to evaluate the reliability of a software system for EMS (Energy Management Systems)...
RGBD cameras are used in many fields, such as monitoring, robot navigation and assistive solutions for visually impaired people. The advance in technology led to the development of cheap and easy to use cameras, such as Kinect, that gained a lot of popularity. One of the technologies that allow the capturing of depth maps, the D component in RGBD sequences, is structured light. The main drawback of...
Microsoft Kinect V2 sensor is a motion sensing device that provides to the users a facility to interact with computers and game consoles through many ways like natural movement, gestures or spoken commands. This technology allowed many researchers and companies to develop real-time applications in various fields like healthcare, sports training, facial emotion detection, gaming, security, 3D reconstruction,...
As a result of accidents or illnesses more and more people suffer from permanent physical disability. It is critical for their quality of life that rehabilitation techniques progress at a fast pace, in order to provide them with the chance to live as independently as possible. The degree of independence can be increased by improving the physical capacities to the greatest possible extent. An aspect...
In this paper will be presented a first prototype of a system that will aid stroke survivors in neuromotor rehabilitation. The system is based on two novel ideas: the augmentation of the reality for movement detection and the existence of a virtual therapist that will guide the patient through the rehabilitation sessions. The first prototype is focused on the kinematic module. This module is responsible...
When healthy people such as visitors and medical staff members or resident patients get an infection from the hospital or from each other; this situation is identified as a Hospital Acquired Infection (HAI). HAI is a key issue of current hospitals; it requires high fiscal expenditure rate for combating the problem, and it causes high mortality rate and prolongs the time of treatment in hospitals....
The Hospital Acquired Infection (HAI), also known as nosocomial infection is an infection acquired by the patient during his stay in the health care facilities due to a completely different reason than the original entry reason. The HAI problem is classified as one of the main problems in health care facilities nowadays, due to the increased mortality, prolonging the duration of stay in hospitals,...
In the last decade Virtual Reality proved to be an efficient alternative for the traditional rehabilitation method for stroke survivors, which is based mainly on kinesiotherapy. A high number of IT systems that are focusing on post stroke recovery are available at this moment. This paper contains a short description of two solutions available on the market followed by the technical details of a new...
In this paper the virtual deferred algorithm is introduced, which combines the benefits of virtual texturing and deferred rendering in order to minimize the bandwidth consumption in rasterized based rendering. The proposed algorithm improves the performance of rendering by minimizing the number of expensive memory accesses such as texture fetches, which are usually the main catalysts for performance...
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