The discrimination of human gestures using wear - able solutions is extremely important as a supporting technique for assisted living, healthcare of the elderly and neurorehabili - tation. This paper presents a mobile electromyography (EMG) analysis framework to be an auxiliary component in physiother - apy sessions or as a feedback for neuroprosthesis calibration. We implemented a framework that allows the integration of multi - sensors, EMG and visual information, to perform sensor fusion and to improve the accuracy of hand gesture recognition tasks. In par ticular, we used an event - based camera adapted to run on the limited computational resources of mobile phones. We introduced a new publicly ...
Every year, a significant number of people lose a body part in an accident, through sickness or in h...
Real-Time biosignal classification in power-constrained embedded applications is a key step in desig...
Real-Time biosignal classification in power-constrained embedded applications is a key step in desig...
The discrimination of human gestures using wear - able solutions is extremely important as a s...
Best demo AwardInternational audienceThe discrimination of human gestures using wearable solutions i...
DémonstrationThe discrimination of human gestures using wearable solutions is extremely important as...
Hand gestures are a form of non-verbal communication used by individuals in conjunction with speech ...
Hand gestures are a form of non-verbal communication used by individuals in conjunction with speech ...
Hand gestures are a form of non-verbal communication used by individuals in conjunction with speech ...
Recently, it has been proven that targeting motor impairments as early as possible while using weara...
Electromyography (EMG) data gives information about the electrical activity related to muscles. EMG ...
According to the World Health Organization, stroke is the third leading cause of disability. A commo...
This dataset contains data for hand gesture recognition recorded with 3 different sensors. sEMG: r...
This dataset contains data for hand gesture recognition recorded with 3 different sensors. sEMG: r...
The art of gesture recognition involves identification and classification of gestures. A gesture is ...
Every year, a significant number of people lose a body part in an accident, through sickness or in h...
Real-Time biosignal classification in power-constrained embedded applications is a key step in desig...
Real-Time biosignal classification in power-constrained embedded applications is a key step in desig...
The discrimination of human gestures using wear - able solutions is extremely important as a s...
Best demo AwardInternational audienceThe discrimination of human gestures using wearable solutions i...
DémonstrationThe discrimination of human gestures using wearable solutions is extremely important as...
Hand gestures are a form of non-verbal communication used by individuals in conjunction with speech ...
Hand gestures are a form of non-verbal communication used by individuals in conjunction with speech ...
Hand gestures are a form of non-verbal communication used by individuals in conjunction with speech ...
Recently, it has been proven that targeting motor impairments as early as possible while using weara...
Electromyography (EMG) data gives information about the electrical activity related to muscles. EMG ...
According to the World Health Organization, stroke is the third leading cause of disability. A commo...
This dataset contains data for hand gesture recognition recorded with 3 different sensors. sEMG: r...
This dataset contains data for hand gesture recognition recorded with 3 different sensors. sEMG: r...
The art of gesture recognition involves identification and classification of gestures. A gesture is ...
Every year, a significant number of people lose a body part in an accident, through sickness or in h...
Real-Time biosignal classification in power-constrained embedded applications is a key step in desig...
Real-Time biosignal classification in power-constrained embedded applications is a key step in desig...