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New motor rehabilitation therapies include virtual reality (VR) and robotic technologies. In limb rehabilitation, limb posture is required to (1) provide a limb realistic representation in VR games and (2) assess the patient improvement. When exoskeleton devices are used in the therapy, the measurements of their joint angles cannot be directly used to(More)
Software Product Line engineering aims at reusing and automating software development to reduce costs, have shorter development cycles, and maintain quality. However, for organizations with settled development processes and a large code base, adopting an SPL approach may prove to be a daunting task. In this paper we present an industrial experimentation and(More)
In the context of surgery, it is very common to face challenging scenarios during the preoperative plan implementation. The surgical technique's complexity, the human anatomical variability and the occurrence of unexpected situations generate issues for the intervention's goals achievement. To support the surgeon, robotic systems are being integrated to the(More)
Surgery is a field in which Human-Computer Interaction design and technical development is a critical success factor. Patient safety and surgical accuracy can take great advantages from a carefully designed user interface technology. The medical world needs easy and fast sharing of information. Prior to the use of any interface, an accurate analysis is(More)
This paper presents the application of an adaptive filtering algorithm, including the parameter estimation, in fractional Fourier transform domain (FRFd) for lightning electric field (LEF) signals. The adaptive algorithm in FRFd is based in the good energy concentration property of the fractional Fourier transform (FRFT). The proposed adaptive filtering(More)
Key point extraction and description mechanisms play a crucial role in image matching, where several image points must be accurately identified to robustly estimate a transformation or to recognize an object or a scene. New procedures for keypoint extraction and for feature description are continuously emerging. In order to assess them accurately,(More)
In Robot-Assisted Rehabilitation (RAR) the accurate estimation of the patient limb joint angles is critical for assessing therapy efficacy. In RAR, the use of classic motion capture systems (MOCAPs) (e.g., optical and electromagnetic) to estimate the Glenohumeral (GH) joint angles is hindered by the exoskeleton body, which causes occlusions and magnetic(More)
Robot-Assisted Rehabilitation (RAR) is relevant for treating patients affected by nervous system injuries (e.g., stroke and spinal cord injury). The accurate estimation of the joint angles of the patient limbs in RAR is critical to assess the patient improvement. The economical prevalent method to estimate the patient posture in Exoskeleton-based RAR is to(More)
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