Výsledky vyhledávání - "HOPKINSON, ANDREW"

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KIDS: kinematics-based (in)activity detection and segmentation in a sleep case study

Autor: Elnaggar, Omar, Arelhi, Roselina, Coenen, Frans, Hopkinson, Andrew, Mason, Lyndon, Paoletti, Paolo

Sleep behaviour and in-bed movements contain rich information on the neurophysiological health of people, and have a direct link to the general well-being and quality of life. Standard clinical practices rely on polysomnography for sleep assessment;

Externí odkaz: http://arxiv.org/abs/2301.03469

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Sleep Posture One-Shot Learning Framework Using Kinematic Data Augmentation: In-Silico and In-Vivo Case Studies

Autor: Elnaggar, Omar, Coenen, Frans, Hopkinson, Andrew, Mason, Lyndon, Paoletti, Paolo

Sleep posture is linked to several health conditions such as nocturnal cramps and more serious musculoskeletal issues. However, in-clinic sleep assessments are often limited to vital signs (e.g. brain waves). Wearable sensors with embedded inertial m

Externí odkaz: http://arxiv.org/abs/2205.10778

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Akademický článek

Sleep posture one-shot learning framework based on extremity joint kinematics: In-silico and in-vivo case studies

Autor: Elnaggar, Omar, Coenen, Frans, Hopkinson, Andrew, Mason, Lyndon, Paoletti, Paolo

Publikováno v: In Information Fusion July 2023 95:215-236

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Demand-Weighted Completeness Prediction for a Knowledge Base

Autor: Hopkinson, Andrew, Gurdasani, Amit, Palfrey, Dave, Mittal, Arpit

In this paper we introduce the notion of Demand-Weighted Completeness, allowing estimation of the completeness of a knowledge base with respect to how it is used. Defining an entity by its classes, we employ usage data to predict the distribution ove

Externí odkaz: http://arxiv.org/abs/1804.11109

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