2 resultados para Vocational Rehabilitation

em CiencIPCA - Instituto Politécnico do Cávado e do Ave, Portugal


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As IPSS’s visam dar uma estrutura organizada ao dever ético de solidariedade e justiça – valores incalculáveis – entre os indivíduos. Não são administradas pelo Estado, nem por corpos autárquicos. E têm por objectivo, como informa a Segurança Social também, o apoio a crianças e jovens, o apoio à família, a protecção dos cidadãos na velhice e invalidez e nas situações de diminuição de meios de subsistência ou de capacidade para o trabalho, promoção e proteção da saúde designadamente por meio da prestação de cuidados de medicina preventiva, curativa e de reabilitação, educação e formação profissional dos cidadãos, resolução dos problemas habitacionais das populações.; Abstract: The IPSS's aim to give an organized structure to the ethical duty of solidarity and justice - incalculable values - between individuals. Are not run by the state or by municipal bodies. And aim, as reported by the Social Security also, support for children and youth, family support, the protection of citizens in old age, disability and decrease in situations of subsistence or capacity for work, promotion and health protection including through the provision of care preventive medicine, curative and rehabilitation, education and vocational training of citizens, solving the housing problems of the people.

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Hand and finger tracking has a major importance in healthcare, for rehabilitation of hand function required due to a neurological disorder, and in virtual environment applications, like characters animation for on-line games or movies. Current solutions consist mostly of motion tracking gloves with embedded resistive bend sensors that most often suffer from signal drift, sensor saturation, sensor displacement and complex calibration procedures. More advanced solutions provide better tracking stability, but at the expense of a higher cost. The proposed solution aims to provide the required precision, stability and feasibility through the combination of eleven inertial measurements units (IMUs). Each unit captures the spatial orientation of the attached body. To fully capture the hand movement, each finger encompasses two units (at the proximal and distal phalanges), plus one unit at the back of the hand. The proposed glove was validated in two distinct steps: a) evaluation of the sensors’ accuracy and stability over time; b) evaluation of the bending trajectories during usual finger flexion tasks based on the intra-class correlation coefficient (ICC). Results revealed that the glove was sensitive mainly to magnetic field distortions and sensors tuning. The inclusion of a hard and soft iron correction algorithm and accelerometer and gyro drift and temperature compensation methods provided increased stability and precision. Finger trajectories evaluation yielded high ICC values with an overall reliability within application’s satisfying limits. The developed low cost system provides a straightforward calibration and usability, qualifying the device for hand and finger tracking in healthcare and animation industries.