Cognitive and affective probing: a tutorial and review of active learning for neuroadaptive technology
Objective. The interpretation of neurophysiological measurements has a decades-long
history, culminating in current real-time brain-computer interfacing (BCI) applications for both …
history, culminating in current real-time brain-computer interfacing (BCI) applications for both …
[图书][B] Brain–computer interfaces handbook: technological and theoretical advances
Brain–Computer Interfaces Handbook: Technological and Theoretical Advances provides a
tutorial and an overview of the rich and multi-faceted world of Brain–Computer Interfaces …
tutorial and an overview of the rich and multi-faceted world of Brain–Computer Interfaces …
[HTML][HTML] Intrinsic interactive reinforcement learning–Using error-related potentials for real world human-robot interaction
Reinforcement learning (RL) enables robots to learn its optimal behavioral strategy in
dynamic environments based on feedback. Explicit human feedback during robot RL is …
dynamic environments based on feedback. Explicit human feedback during robot RL is …
[HTML][HTML] EEG and EMG dataset for the detection of errors introduced by an active orthosis device
Exoskeletons and orthoses are frequently used to facilitate limb movements in humans with
motor impairments as they can integrate classical therapy approaches such as mirror …
motor impairments as they can integrate classical therapy approaches such as mirror …
Multi-robot systems, virtual reality and ROS: developing a new generation of operator interfaces
JJ Roldán, E Peña-Tapia, D Garzón-Ramos… - Robot Operating System …, 2019 - Springer
This chapter describes a series of works developed in order to integrate ROS-based robots
with Unity-based virtual reality interfaces. The main goal of this integration is to develop …
with Unity-based virtual reality interfaces. The main goal of this integration is to develop …
Embedded multimodal interfaces in robotics: applications, future trends, and societal implications
In the past, robots were primarily used to perform work that was either too hard, too
dangerous or simply too repetitive for humans, eg, assembly line work, or work that could be …
dangerous or simply too repetitive for humans, eg, assembly line work, or work that could be …
Scalable operator allocation for multirobot assistance: A restless bandit approach
In this article, we consider the problem of allocating human operators in a system with
multiple semiautonomous robots. Each robot is required to perform an independent …
multiple semiautonomous robots. Each robot is required to perform an independent …
[HTML][HTML] A hybrid FPGA-based system for EEG-and EMG-based online movement prediction
A current trend in the development of assistive devices for rehabilitation, for example
exoskeletons or active orthoses, is to utilize physiological data to enhance their functionality …
exoskeletons or active orthoses, is to utilize physiological data to enhance their functionality …
Passive brain–computer interfaces: a perspective on increased interactivity
Passive brain–computer interfaces (passive BCI; pBCI) have been introduced and formally
defined almost a decade ago and have gained considerable attention since then. In this …
defined almost a decade ago and have gained considerable attention since then. In this …
An adaptive human-robotic interaction architecture for augmenting surgery performance using real-time workload sensing—demonstration of a semi-autonomous …
J Yang, JA Barragan, JM Farrow… - Human …, 2024 - journals.sagepub.com
Objective This study developed and evaluated a mental workload-based adaptive
automation (MWL-AA) that monitors surgeon cognitive load and assist during cognitively …
automation (MWL-AA) that monitors surgeon cognitive load and assist during cognitively …