Despite the technological progress in robotics, mechatronic limbs still lack functionality, reliability and comfort. This work builds upon osseointegration and implanted neuromuscular interfaces for the realization of an embedded system for artificial upper limb control. The controller allows for bioelectric signals acquisition, processing, decoding and prosthetic control. It includes a neurost...

normal 0 false false false en-us x-none fa background: electroencephalography (eeg) has vital and significant applications in different medical fields and is used for the primary evaluation of neurological disorders. hence, having easy access to suitable and useful signal is very important. artifacts are undesirable confusions which are generally originated from inevitable human activities such...

Background: Electroencephalography (EEG) has vital and significant applications in different medical fields and is used for the primary evaluation of neurological disorders. Hence, having easy access to suitable and useful signal is very important. Artifacts are undesirable confusions which are generally originated from inevitable human activities such as heartbeat, blinking of eyes and facial ...

Neuroscientific research on the perception of emotional signals has mainly focused on how the brain processes threat signals from photographs of facial expressions. Much less is known about body postures or about the processing of dynamic images. We undertook a systematic comparison of the neurofunctional network dedicated to processing facial and bodily expressions. Two functional magnetic res...

The independent effects of facial and vocal emotional signals and of positive and negative signals on infant behavior were investigated in a novel toy social referencing paradigm. 90 12-month-old infants and their mothers were assigned to an expression condition (neutral, happy, or fear) nested within a modality condition (face-only or voice-only). Each infant participated in 3 trials: a baseli...

We propose AttentiveLearner, a multimodal mobile learning system for MOOCs running on unmodified smartphones. AttentiveLearner uses both the front and back cameras of a smartphone as two complementary and fine-grained feedback channels in real time: the back camera monitors learners’ photoplethysmography (PPG) signals and the front camera tracks their facial expressions during MOOC learning. At...

Electromagnetic source localization (ESL) provides non-invasive evaluation of brain electrical activity for neurology research and clinical evaluation of neurological disorders such as epilepsy. Accurate ESL results are dependent upon the use of patient specific models of bioelectric conductivity. While the effects of anisotropic conductivities in the skull and white matter have been previously...

1 Executive Summary This paper presents a study of the possibility to collect heart electric potentials from a rectangular region of the precordial area, using a bioelectrical signal amplifier (BESA) with only 4 input channels and to assemble these signals in order to obtain a more complex result such as Body Surface Potential Mapping (BSPM). The introductory part contains the rationale of the ...

The human face is used to identify other people, to regulate the conversation by gazing or nodding, to interpret what has been said by lip reading, and to communicate and understand social signals, including affective states and intentions, on the basis of the shown facial expression. Machine understanding of human facial signals could revolutionize user-adaptive social interfaces, the integral...

Understanding mechanisms that orchestrate cell behavior into appropriately patterned tissues and organs within the organism is an essential element of preventing, detecting and treating cancer. Bioelectric signals (resting transmembrane voltage potential gradients in all cells) underlie an important and broadly conserved set of control mechanisms that regulate pattern formation. We tested the r...