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Upper limb disorders may impair the use of control interfaces for Electric Powered Wheelchairs (EPW), such as joysticks, for many individuals with disabilities. The aims of this study were to develop and test a virtual wheelchair driving environment that can provide quantifiable measures of driving ability, offer driver training, and measure the performance of alternative controls. This work introduces...
Localization and tracking of vehicles is still an important issue in GPS‐denied environments (both indoors and outdoors), where accurate motion is required. In this work, a localization system based on the random disposition of LiDAR sensors (which share a partially common field of view) and on the use of the Hausdorff distance is addressed. The proposed system uses the Hausdorff distance to estimate...
This paper presents a comparison between two different technologies of acquisition systems (BrainNet36 and Emotiv Epoc) for an Independent-BCI based on Steady-State Visual Evoked Potential (SSVEP). Two stimuli separated by a viewing angle < 1° were used. Multivariate Synchronization Index (MSI) technique was used as feature extractor and five subjects participated in the experiments. The class...
This paper presents the comparation of three different feature extraction techniques based on the Empirical Mode Decomposition (EMD) for a SSVEP-BCI. This approach based on the characterization of the signal by EMD, is proposed as a novel alternative to other techniques and it was demonstrated that it exceeds both in accuracy rate and Information Transfer Rate (ITR). The experiments were performed...
This work presents an alternative method to detect events correlated to eyes opening and closing, based on electroencephalography (EEG) measured from the occipital lobe. The goal is to propose a method based on linear discriminant function to classify segments of EEG signals that contain activities originated by eyes closing. A linear discriminant function presented by Fisher is employed to detect...
The proposal of this research is to present the development of a tool that might be useful in rehabilitation, for subjects with disability, that suffer from some kind of limbs movement limitation. This tool carries a 3D Virtual Reality Environment (VRE), which emulates the movement of a healthy person, using the immersion of the subject through an avatar. To do so, and test its feasibility, pre acquired...
This paper presents the evaluation of seven techniques of feature extraction (PSD, F-Test, EMD, MCE, CCA, LASSO and MSI) for gaze-target detections in a SSVEP-based BCI. Two type of technologies for visual stimulation were used (LCD and LEDs). Five differents windows lengths (1, 2, 4, 5 and 10 s) were used and seven volunteers participated in this study. The highest accuracy obtained in all cases...
This paper presents the classification of motor tasks, using surface electromyography (sEMG) to control a virtual prosthetic hand for rehabilitation of amputees. Two types of classifiers are compared: k-Nearest Neighbor (k-NN) and Bayesian (Discriminant Analysis). Motor tasks are divided into four groups correlated. The volunteers were people without amputation and several analyzes of each of the...
This paper presents the classification of motor tasks, using surface electromyography (sEMG) to control a prosthetic hand for rehabilitation of amputees. Two types of classifiers are compared: k-Nearest Neighbor (k-NN) and Bayesian (Discriminant Analysis). Motor tasks are divided into four groups correlated. The volunteers were healthy people (without amputation) and several analyzes of each of the...
In this study, we present a real-time system to control a virtual hand using traditional features of surface electromyography (sEMG). The sEMG signal was recorded while performing simple finger and wrist movements related to the day-to-day activities. Traditional features of sEMG: RMS (Root Mean Square), VAR (Variance) and WL (Waveform Length) were computed using the sliding window technique. These...
This work presents a multi-modal interface that can be used for communication of people with disabilities. The interface is installed onboard a robotic wheelchair, and provides flexibility to choose different modalities for communication by people with different levels of disabilities. Users can use the interface through eye blinks, eye movements, head movements, by blowing or sucking a straw, and...
In an aging society it is extremely important to develop devices, which can support and aid the elderly in their daily life. This demands tools that extend independent living and promote improved health. In this work it is proposed a new interface approach integrated into a walker. This interface is based on a force sensor and it is intended to extract the user's movement intentions. The interface...
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