Gesture recognition for human-robot collaboration: A review
Recently, the concept of human-robot collaboration has raised many research interests.
Instead of robots replacing human workers in workplaces, human-robot collaboration allows …
Instead of robots replacing human workers in workplaces, human-robot collaboration allows …
Real-time hand gesture recognition using surface electromyography and machine learning: A systematic literature review
Today, daily life is composed of many computing systems, therefore interacting with them in
a natural way makes the communication process more comfortable. Human–Computer …
a natural way makes the communication process more comfortable. Human–Computer …
[HTML][HTML] Current state of digital signal processing in myoelectric interfaces and related applications
This review discusses the critical issues and recommended practices from the perspective of
myoelectric interfaces. The major benefits and challenges of myoelectric interfaces are …
myoelectric interfaces. The major benefits and challenges of myoelectric interfaces are …
Systematic literature review of hand gestures used in human computer interaction interfaces
Gestures, widely accepted as a humans' natural mode of interaction with their surroundings,
have been considered for use in human-computer based interfaces since the early 1980s …
have been considered for use in human-computer based interfaces since the early 1980s …
Feasibility of wrist-worn, real-time hand, and surface gesture recognition via sEMG and IMU sensing
While most wearable gesture recognition approaches focus on the forearm or fingers, the
wrist may be a more suitable location for practical use. We present the design and validation …
wrist may be a more suitable location for practical use. We present the design and validation …
Robust hand gesture recognition with a double channel surface EMG wearable armband and SVM classifier
Integration of surface EMG sensors as an input source for Human Machine Interfaces (HMIs)
is getting an increasing attention due to their application in wearable devices such as …
is getting an increasing attention due to their application in wearable devices such as …
Interpreting deep learning features for myoelectric control: A comparison with handcrafted features
Existing research on myoelectric control systems primarily focuses on extracting
discriminative characteristics of the electromyographic (EMG) signal by designing …
discriminative characteristics of the electromyographic (EMG) signal by designing …
Methods and devices for combining muscle activity sensor signals and inertial sensor signals for gesture-based control
S Lake, M Bailey, A Grant - US Patent App. 14/186,889, 2014 - Google Patents
There is disclosed a wearable electronic device for use with controllable connected devices.
The wearable electronic device includes a band worn on, for example, the forearm of a user …
The wearable electronic device includes a band worn on, for example, the forearm of a user …
Real-time hand gesture spotting and recognition using RGB-D camera and 3D convolutional neural network
Using hand gestures is a natural method of interaction between humans and computers. We
use gestures to express meaning and thoughts in our everyday conversations. Gesture …
use gestures to express meaning and thoughts in our everyday conversations. Gesture …
The psychophysiology primer: a guide to methods and a broad review with a focus on human–computer interaction
Digital monitoring of physiological signals can allow computer systems to adapt
unobtrusively to users, so as to enhance personalised 'smart'interactions. In recent years …
unobtrusively to users, so as to enhance personalised 'smart'interactions. In recent years …