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[HTML][HTML] EMG-centered multisensory based technologies for pattern recognition in rehabilitation: state of the art and challenges
In the field of rehabilitation, the electromyography (EMG) signal plays an important role in
interpreting patients' intentions and physical conditions. Nevertheless, utilizing merely the …
interpreting patients' intentions and physical conditions. Nevertheless, utilizing merely the …
Event cameras in automotive sensing: A review
Event cameras (EC) represent a paradigm shift and are emerging as valuable tools in the
automotive industry, particularly for in-cabin and out-of-cabin monitoring. These cameras …
automotive industry, particularly for in-cabin and out-of-cabin monitoring. These cameras …
Hand-gesture recognition based on EMG and event-based camera sensor fusion: A benchmark in neuromorphic computing
Hand gestures are a form of non-verbal communication used by individuals in conjunction
with speech to communicate. Nowadays, with the increasing use of technology, hand …
with speech to communicate. Nowadays, with the increasing use of technology, hand …
Enabling voice-accompanying hand-to-face gesture recognition with cross-device sensing
Gestures performed accompanying the voice are essential for voice interaction to convey
complementary semantics for interaction purposes such as wake-up state and input …
complementary semantics for interaction purposes such as wake-up state and input …
[HTML][HTML] Brain-inspired self-organization with cellular neuromorphic computing for multimodal unsupervised learning
Cortical plasticity is one of the main features that enable our ability to learn and adapt in our
environment. Indeed, the cerebral cortex self-organizes itself through structural and synaptic …
environment. Indeed, the cerebral cortex self-organizes itself through structural and synaptic …
An semg-controlled prosthetic hand featuring a tiny cnn-transformer model and force feedback
This paper introduces the design of a wireless prosthetic hand with surface
electromyography (sEMG)-based control and force feedback. The system features a novel …
electromyography (sEMG)-based control and force feedback. The system features a novel …
A new labeling approach for proportional electromyographic control
Different control strategies are available for human machine interfaces based on
electromyography (EMG) to map voluntary muscle signals to control signals of a remote …
electromyography (EMG) to map voluntary muscle signals to control signals of a remote …
A multi-modal system with wireless flexible sensor patches and a depth-sensing imager for at-home monitoring of rehabilitation exercises
Long-term at-home monitoring of rehabilitation performance after spinal cord injuries is
crucial for optimizing therapeutic outcomes, reducing the rehabilitation period, and …
crucial for optimizing therapeutic outcomes, reducing the rehabilitation period, and …
The BLV App Arcade: a new curated repository and evaluation rubric for mobile applications supporting blindness and low vision
Purpose Visual impairment-related disabilities have become increasingly pervasive. Current
reports estimate a total of 36 million persons with blindness and 217 million persons with …
reports estimate a total of 36 million persons with blindness and 217 million persons with …
NIMBLE: A Neuromorphic Learning Scheme and Memristor Based Computing-in-Memory Engine for EMG Based Hand Gesture Recognition
EMG based hand gesture recognition on convolutional neural networks (CNNs) has been
widely learned, which gains high accuracy. However, CNN based systems are …
widely learned, which gains high accuracy. However, CNN based systems are …