935 resultados para Hand


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[EN]Vision-based applications designed for humanmachine interaction require fast and accurate hand detection. However, previous works on this field assume different constraints, like a limitation in the number of detected gestures, because hands are highly complex objects to locate. This paper presents an approach which changes the detection target without limiting the number of detected gestures. Using a cascade classifier we detect hands based on their wrists. With this approach, we introduce two main contributions: (1) a reliable segmentation, independently of the gesture being made and (2) a training phase faster than previous cascade classifier based methods. The paper includes experimental evaluations with different video streams that illustrate the efficiency and suitability for perceptual interfaces.

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[EN]Enabling natural human-robot interaction using computer vision based applications requires fast and accurate hand detection. However, previous works in this field assume different constraints, like a limitation in the number of detected gestures, because hands are highly complex objects difficult to locate. This paper presents an approach which integrates temporal coherence cues and hand detection based on wrists using a cascade classifier. With this approach, we introduce three main contributions: (1) a transparent initialization mechanism without user participation for segmenting hands independently of their gesture, (2) a larger number of detected gestures as well as a faster training phase than previous cascade classifier based methods and (3) near real-time performance for hand pose detection in video streams.

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Abstract: Students who are actively involved in the learning process tend to develop deeper knowledge than those in traditional lecture classrooms (Beatty, 2007; Crouch & Mazur, 2001; Hake, 1998; Richardson, 2003). An instructional strategy that promotes active involvement is Peer Instruction. This strategy encourages student engagement by asking them to respond to conceptual multiple-choice questions intermittently throughout the lecture. These questions can be responded to by using an electronic hand-held device commonly known as a clicker that enables students’ responses to be displayed on a screen. When clickers are not available, a show of hands or other means can be used. The literature suggests that the impact on student learning is the same, whether the teacher uses clickers or simply asks students to raise their hand or use flashcards when responding to the questions (Lasry, 2007). This critical analysis argues that using clickers to respond to these in-class conceptual multiple-choice questions as opposed to using a show of hands leads to deeper conceptual understanding, better performance on tests, and greater overall enjoyment during class.||Résumé: Les étudiants qui sont activement impliqués dans le processus d'apprentissage ont tendance à développer des connaissances plus approfondies que lors de cours traditionnels (Beatty, 2007; Crouch & Mazur, 2001; Hake, 1998; Richardson, 2003). Une stratégie d'enseignement qui favorise la participation active est l’apprentissage par les pairs. Cette stratégie d’enseignement encourage l'engagement des élèves en leur demandant de répondre à des questions à choix multiples conceptuelles à plusieurs reprises durant le déroulement du cours. Ces questions peuvent être répondues à l'aide d'un appareil portatif électronique (un « clicker ») qui permet d’afficher de façon anonyme les réponses des élèves sur un écran. Si les clickers ne sont pas disponibles, les étudiants peuvent aussi répondre aux questions en levant la main. La littérature suggère que la méthode utilisée n’a pas d’impact sur l'apprentissage des élèves, que l'enseignant utilise des clickers, des flashcards ou qu’il demande simplement aux élèves de lever la main pour répondre aux questions (Lasry, 2007). Cette analyse critique fait valoir que l'utilisation de clickers pour répondre à ces questions à choix multiples conceptuelles en classe, plutôt que de faire lever la main aux étudiants, résulte en une compréhension conceptuelle plus approfondie, une meilleure performance aux examens et plus de plaisir pendant les cours.

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Giant cell-rich osteolytic lesions may have overlapping clinical, radiologic, and histopathologic features, with an important degree of difficulty of diagnosis and treatment. We report a case of double osteolytic lesion at the middle-finger in a young man without previous history of hand trauma. He underwent en-bloc resection of the bone lesions and reconstruction by graft of hydroxyapatite, resulting in a good morpho-functional result. Histological diagnosis was giant cell reparative granuloma (GCRG), although several features were considered atypical, including the appearance of the giant cells and the areas of the stroma that more closely resembled a giant cell tumor. GCRG is a benign rare intraosseous lesion and the true nature is controversial and unknown. The theories are that it could be a reactive lesion, a developmental anomaly or a benign neoplasm. It appears as an osteolytic lesion that must be considered in the differential diagnosis of other “critical” bone lesions similar in clinical, as well as radiologic and pathological appearance. Further characterization studies are helpful and necessary for the proper management.

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Introduction: Brain computer interface (BCI) is a promising new technology with possible application in neurorehabilitation after spinal cord injury. Movement imagination or attempted movement-based BCI coupled with functional electrical stimulation (FES) enables the simultaneous activation of the motor cortices and the muscles they control. When using the BCI- coupled with FES (known as BCI-FES), the subject activates the motor cortex using attempted movement or movement imagination of a limb. The BCI system detects the motor cortex activation and activates the FES attached to the muscles of the limb the subject is attempting or imaging to move. In this way the afferent and the efferent pathways of the nervous system are simultaneously activated. This simultaneous activation encourages Hebbian type learning which could be beneficial in functional rehabilitation after spinal cord injury (SCI). The FES is already in use in several SCI rehabilitation units but there is currently not enough clinical evidence to support the use of BCI-FES for rehabilitation. Aims: The main aim of this thesis is to assess outcomes in sub-acute tetraplegic patients using BCI-FES for functional hand rehabilitation. In addition, the thesis explores different methods for assessing neurological rehabilitation especially after BCI-FES therapy. The thesis also investigated mental rotation as a possible rehabilitation method in SCI. Methods: Following investigation into applicable methods that can be used to implement rehabilitative BCI, a BCI based on attempted movement was built. Further, the BCI was used to build a BCI-FES system. The BCI-FES system was used to deliver therapy to seven sub-acute tetraplegic patients who were scheduled to receive the therapy over a total period of 20 working days. These seven patients are in a 'BCI-FES' group. Five more patients were also recruited and offered equivalent FES quantity without the BCI. These further five patients are in a 'FES-only' group. Neurological and functional measures were investigated and used to assess both patient groups before and after therapy. Results: The results of the two groups of patients were compared. The patients in the BCI-FES group had better improvements. These improvements were found with outcome measures assessing neurological changes. The neurological changes following the use of the BCI-FES showed that during movement attempt, the activation of the motor cortex areas of the SCI patients became closer to the activation found in healthy individuals. The intensity of the activation and its spatial localisation both improved suggesting desirable cortical reorganisation. Furthermore, the responses of the somatosensory cortex during sensory stimulation were of clear evidence of better improvement in patients who used the BCI-FES. Missing somatosensory evoked potential peaks returned more for the BCI-FES group while there was no overall change in the FES-only group. Although the BCI-FES group had better neurological improvement, they did not show better functional improvement than the FES-only group. This was attributed mainly to the short duration of the study where therapies were only delivered for 20 working days. Conclusions: The results obtained from this study have shown that BCI-FES may induce cortical changes in the desired direction at least faster than FES alone. The observation of better improvement in the patients who used the BCI-FES is a good result in neurorehabilitation and it shows the potential of thought-controlled FES as a neurorehabilitation tool. These results back other studies that have shown the potential of BCI-FES in rehabilitation following neurological injuries that lead to movement impairment. Although the results are promising, further studies are necessary given the small number of subjects in the current study.

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Several synkinesis syndromes have been reported in the literature. Synkinesis syndromes are rare and are most commonly congenital or follow post-traumatic reinnervation. We describe a novel synkinesis syndrome that developed several months after cervical spinal cord infarction due to a herniated disc in a 29-year-old woman. When the patient overstretched the extensor muscles of the right hand, the right upper eyelid raised automatically and nasal congestion developed. We hypothesize that aberrant reinnervation of the intermediolateral columns of the spinal cord at level C8–T2 by motor neurons of the extensor muscles of the hand occurred.

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Vol. 2 has imprint: Leipzig : Dieterich, 1900.

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Hand detection on images has important applications on person activities recognition. This thesis focuses on PASCAL Visual Object Classes (VOC) system for hand detection. VOC has become a popular system for object detection, based on twenty common objects, and has been released with a successful deformable parts model in VOC2007. A hand detection on an image is made when the system gets a bounding box which overlaps with at least 50% of any ground truth bounding box for a hand on the image. The initial average precision of this detector is around 0.215 compared with a state-of-art of 0.104; however, color and frequency features for detected bounding boxes contain important information for re-scoring, and the average precision can be improved to 0.218 with these features. Results show that these features help on getting higher precision for low recall, even though the average precision is similar.

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A 67-year-old woman developed severe edema of her right hand and forearm, for which she was treated with antibiotics, without benefit. The echography excluded a venous thrombosis. Subsequently, she referred a wasp sting before the development of the edema. Specific Hymenoptera venom immunoglobulin E (IgE) was found to be positive for paper wasp and yellow jacket. A large local reaction (LLR) was diagnosed due to the hymenoptera sting. Self-injectable epinephrine was prescribed for possible, though unlikely, systemic reactions following hymenoptera stings.

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Soft robots are robots made mostly or completely of soft, deformable, or compliant materials. As humanoid robotic technology takes on a wider range of applications, it has become apparent that they could replace humans in dangerous environments. Current attempts to create robotic hands for these environments are very difficult and costly to manufacture. Therefore, a robotic hand made with simplistic architecture and cheap fabrication techniques is needed. The goal of this thesis is to detail the design, fabrication, modeling, and testing of the SUR Hand. The SUR Hand is a soft, underactuated robotic hand designed to be cheaper and easier to manufacture than conventional hands. Yet, it maintains much of their dexterity and precision. This thesis will detail the design process for the soft pneumatic fingers, compliant palm, and flexible wrist. It will also discuss a semi-empirical model for finger design and the creation and validation of grasping models.