Browsing Waterloo Research by Subject "Wrist"
Now showing items 1-5 of 5
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A multi-class tactile brain-computer interface based on stimulus-induced oscillatory dynamics
(Elsevier, 2017-07-24)We proposed a multi-class tactile brain-computer interface that utilizes stimulus-induced oscillatory dynamics. It was hypothesized that somatosensory attention can modulate tactile induced oscillation changes, which can ... -
Performance of Brain-Computer Interfacing Based on Tactile Selective Sensation and Motor Imagery
(Institute of Electrical and Electronics Engineers, 2017-11-03)A large proportion of users do not achieve adequate control using current non-invasive Brain-computer Interfaces (BCI). This issue has being coined “BCI-Illiteracy”, and is observed among BCI modalities. Here, we compare ... -
Sensory Stimulation Training for BCI System based on Somatosensory Attentional Orientation
(Institute of Electrical and Electronics Engineers, 2018-07-04)In this study, we propose a sensory stimulation training (SST) approach to improve the performance of a brain-computer interface (BCI) based on somatosensory attentional orientation (SAO). In this BCI, subjects imagine the ... -
Spatial Information Enhances Myoelectric Control Performance with Only Two Channels
(Institute of Electrical and Electronics Engineers, 2018-09-10)Automatic gesture recognition (AGR) is investigated as an effortless human-machine interaction method, potentially applied in many industrial sectors. When using surface electromyogram (sEMG) for AGR, i.e. myoelectric ... -
Wrist and Finger Gesture Recognition with Single-element A-mode Ultrasound signal: A Comparison with Single-channel Surface Electromyogram
(Institute of Electrical and Electronics Engineers, 2018-10-01)With the ability to detect volumetric changes of contracting muscles, ultrasound (US) was a potential technique in the field of human-machine interface (HMI). Compared to the US imaging (B-mode US), the signal from a static ...