Going beyond dyadic (one-to-one) interaction has been increasingly explored in HRI. Yet
we lack a comprehensive view on non-dyadic interaction research in HRI. To map out 15 …

Electromyography (EMG) has been explored as an HCI input modality following a long
history of success for prosthesis control. While EMG has the potential to address a range of …

We proposed a wearable drone controller with hand gesture recognition and vibrotactile
feedback. The intended hand motions of the user are sensed by an inertial measurement …

Despite achieving accuracies higher than 90% on recognizing upper-limb movements
through sEMG (surface Electromyography) signal with the state of art classifiers in the …

The spectrum of applications for social drones is broadening as they become an
increasingly accessible technology. In order to expand on the immensely rich but poorly …

Gestural interfaces based on surface electromyographic (sEMG) signal have been widely
explored. Nevertheless, due to the individual differences in the sEMG signals, it is very …

Myoelectric control has been used predominantly in the field of prosthetics, but is an
increasingly promising hands-free input modality for emerging consumer markets such as …

Conventional electromyography (EMG) measures the continuous neural activity during
muscle contraction but lacks explicit quantification of the actual contraction …

The article explores the possibilities of using hand gestures as a control interface for robotic
systems in a collaborative workspace. The development of hand gesture control interfaces …

In this paper we present Drone Brush, a prototype mixed reality interface for immersive
planning of drone paths for tasks such as collaborative photogrammetry and inspection. This …