Zobrazeno 1 - 10
of 250
pro vyhledávání: '"Western, David"'
Windowing is a common technique in EEG machine learning classification and other time series tasks. However, a challenge arises when employing this technique: computational expense inhibits learning global relationships across an entire recording or
Externí odkaz:
http://arxiv.org/abs/2401.10283
Individuals with tetraplegia and similar forms of paralysis suffer physically and emotionally due to a lack of autonomy. To help regain part of this autonomy, assistive robotic arms have been shown to increase living independence. However, users with
Externí odkaz:
http://arxiv.org/abs/2401.03944
A key task in clinical EEG interpretation is to classify a recording or session as normal or abnormal. In machine learning approaches to this task, recordings are typically divided into shorter windows for practical reasons, and these windows inherit
Externí odkaz:
http://arxiv.org/abs/2303.06386
Autor:
Webster, Matt, Western, David, Araiza-Illan, Dejanira, Dixon, Clare, Eder, Kerstin, Fisher, Michael, Pipe, Anthony G.
We present an approach for the verification and validation (V&V) of robot assistants in the context of human-robot interactions (HRI), to demonstrate their trustworthiness through corroborative evidence of their safety and functional correctness. Key
Externí odkaz:
http://arxiv.org/abs/1608.07403
Industries such as flexible manufacturing and home care will be transformed by the presence of robotic assistants. Assurance of safety and functional soundness for these robotic systems will require rigorous verification and validation. We propose te
Externí odkaz:
http://arxiv.org/abs/1511.01354
Collaborative robots could transform several industries, such as manufacturing and healthcare, but they present a significant challenge to verification. The complex nature of their working environment necessitates testing in realistic detail under a
Externí odkaz:
http://arxiv.org/abs/1509.04852