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New research reports shows that important progresses for controlling electric-powered wheelchair have been made recently aiming people with severe disabilities. In fact, a significant amount of people affected by those physical disabilities still cannot take advantage of autonomous mobility, even electronic or automated ones. For those people, the use of proper biological signals to control the assisted...
This paper proposes an alternative approach to deal with the problem of mobile robot navigation, which is called fusion of control signals. The proposed technique has presented good results when the robot has to execute relatively complex tasks, as it is shown in the illustrative example here presented. The technique is developed with basis on the decentralized information filter, whose equations...
This paper presents a study related to the identification of different hand gestures from EMG signals from forearm muscles, to be used as human machine interface system in a hand prosthesis. The capture of EMG signals was performed with healthy people during different hand gestures related to the fingers flexion-individual and pairs- and flexion / extension and grasp grisp, organized into four categories...
One of the biggest concerns for control of robotic devices for rehabilitation of amputees is related to the sEMG signal quality. Depending on how clean is the signal, more efficient and effective is the response of the control in relation to the user needs. This article proposes a protocol for sEMG signal capture with the least amount of crosstalk without the use of filters on the forearm with four...
A major concern in the study of human behavior is related to the machines on which consciousness works for analysis, we addressed the phenomenological approach through the study of self, based on the biological behavior in the processes of perception. This paper aims to develop a system for recognizing the threshold of conscious perception, by using visual masking techniques, with variations in the...
Fibromyalgia (FM) is a chronic musculoskeletal disturbance that poses major challenges for diagnostic procedures. It is marked by a constellation of symptoms, such as widespread pain, chronic fatigue, sleep disturbances, osteoarthritis, among others. This work is a pilot study that aims to validate a diagnostic tool by analyzing sEMG signals of specific muscles during the performance of isotonic tasks...
This paper presents the classification of three mental tasks, using the electroencephalographic signal and simulating a real-time process. Three types of classifiers are compared: k-nearest neighbors, Linear Discriminant Analysis and feed-forward backpropagation Artificial Neural Networks. The mental tasks are the imagination of right or left hand movements and generation of words beginning with the...
Severe disabled children have little chance of environmental and social exploration and discovery, and due this lack of interaction and independency, it may lead to an idea that they are unable to do anything by themselves. This idea is called “learned helplessness” and is very negative for the child cognitive development and social development as well. With this entire situation it is very likely...
This work proposes a strategy to avoid dynamic and static obstacles for robotic wheelchairs. A laser scanner onboard the vehicle is used to estimate the position and the velocity of the obstacles in a semi-structured environment. Once the model of the movement of the obstacles is estimated, points of wheelchair-obstacle collision are calculated. In the presence of dynamic obstacles, the obstacle avoidance...
Several students of Bioengineering complain about the excess of theoretical classes and the difficulty to assimilate the subject taught. This article presents a strategy to mix theory and practice when teaching, thus motivating students to engage in their studies.
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