A versatile embedded platform for EMG acquisition and gesture recognition
Wearable devices offer interesting features, such as low cost and user friendliness, but their
use for medical applications is an open research topic, given the limited hardware resources …
use for medical applications is an open research topic, given the limited hardware resources …
Hand gesture recognition based omnidirectional wheelchair control using IMU and EMG sensors
This paper presents a hand gesture based control of an omnidirectional wheelchair using
inertial measurement unit (IMU) and myoelectric units as wearable sensors. Seven common …
inertial measurement unit (IMU) and myoelectric units as wearable sensors. Seven common …
Translating research on myoelectric control into clinics—Are the performance assessment methods adequate?
I Vujaklija, AD Roche, T Hasenoehrl… - Frontiers in …, 2017 - frontiersin.org
Missing an upper limb dramatically impairs daily-life activities. Efforts in overcoming the
issues arising from this disability have been made in both academia and industry, although …
issues arising from this disability have been made in both academia and industry, although …
A prosthetic hand body area controller based on efficient pattern recognition control strategies
Poliarticulated prosthetic hands represent a powerful tool to restore functionality and
improve quality of life for upper limb amputees. Such devices offer, on the same wearable …
improve quality of life for upper limb amputees. Such devices offer, on the same wearable …
Inferring static hand poses from a low-cost non-intrusive sEMG sensor
Every year, a significant number of people lose a body part in an accident, through sickness
or in high-risk manual jobs. Several studies and research works have tried to reduce the …
or in high-risk manual jobs. Several studies and research works have tried to reduce the …
[PDF][PDF] Design and optimization of Levenberg-Marquardt based neural network classifier for EMG signals to identify hand motions
This paper presents an application of artificial neural network for the classification of single
channel EMG signal in the context of hand motion detection. Seven statistical input features …
channel EMG signal in the context of hand motion detection. Seven statistical input features …
Electromyogram whitening for improved classification accuracy in upper limb prosthesis control
Time and frequency domain features of the surface electromyogram (EMG) signal acquired
from multiple channels have frequently been investigated for use in controlling upper-limb …
from multiple channels have frequently been investigated for use in controlling upper-limb …
Efficient deep neural network model for classification of grasp types using sEMG signals
Grasping is a challenging problem in robotics and prosthetic applications due to its control
requirements. The visual perception and analyzing electromyography (EMG) signals are the …
requirements. The visual perception and analyzing electromyography (EMG) signals are the …
Design considerations for wireless acquisition of multichannel sEMG signals in prosthetic hand control
D Brunelli, E Farella, D Giovanelli… - IEEE Sensors …, 2016 - ieeexplore.ieee.org
Wearable technology for assistive medical applications and physical activity recognition has
emerged as a fast growing research field in recent years. However, the design of such …
emerged as a fast growing research field in recent years. However, the design of such …
A cloud environment for data-intensive storage services
The emergence of cloud environments has made feasible the delivery of Internet-scale
services by addressing a number of challenges such as live migration, fault tolerance and …
services by addressing a number of challenges such as live migration, fault tolerance and …